Visa sponsorship jobs in Amsterdam

We're looking for a Head of AWS Technology to join our team in the Netherlands in a hybrid working mode. This is a senior leadership role that combines technical depth, architectural authority, and commercial responsibility to shape and grow EPAM’s AWS practice. You will set the vision, lead solution design and be a trusted advisor to senior stakeholders by ensuring the delivery of high-quality, well-architected solutions. Acting as a key technical partner with AWS, you will drive adoption of AI and GenAI services, establish engineering excellence and mentor a team of senior architects. This role requires a hands-on understanding of AWS architectures and the ability to influence technology strategy across multiple clients and sectors. Responsibilities Set the technical vision, architecture standards and engineering practices for the AWS practice Lead adoption of AI and GenAI capabilities on AWS, including Bedrock, SageMaker and RAG patterns Provide hands-on technical oversight on complex engagements and ensure quality delivery Establish and nurture the AWS partnership through competencies, programs and joint go-to-market initiatives Build, mentor and lead a high-performing team of AWS architects and engineers Drive pre-sales and solution design for major AWS opportunities Create thought leadership, reusable assets and propositions that differentiate EPAM in the cloud market Ensure alignment between architectural solutions, security standards and client business goals Requirements Extensive AWS architecture experience with credibility to guide design decisions (10+ years in technology) Current expertise in AI and GenAI services on AWS and their application to client solutions Proven leadership in building and managing senior technical teams Track record of shaping, estimating and winning cloud engagements in pre-sales environments Commercial acumen with familiarity of consulting operating models and P&L impact Experience working with AWS partner programs and competency frameworks AWS Professional certifications (Solutions Architect Professional or DevOps Engineer Professional), with Specialty certifications desirable Excellent communication skills for engaging engineers, senior clients and AWS partner teams Nice to have Experience in consulting or systems integration environments Multi-cloud exposure (Azure, GCP) and ability to position AWS in hybrid estates Sector experience in financial services, life sciences, retail or public sector We offer/Benefits 26 paid holiday days Pension plan scheme Disability insurance (WGA Shortfall insurance) Long-term disability insurance (WIA Top up insurance) EPAM Employee Stock Purchase Plan (ESPP) Commuting to work - costs reimbursement Laptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements) Bike lease Employee Assistance Program Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements

Principal Software Engineer – eBay Ads (Backend / Platform Engineering) Amsterdam, Netherlands At eBay, we’re more than a global ecommerce leader — we’re changing the way the world shops and connects. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to creating economic opportunity for all while fostering an inclusive culture where everyone can thrive. About the Team eBay Ads powers the advertising ecosystem that connects buyers with sellers through relevant and engaging ad experiences. Our teams build scalable platforms and services that support ad targeting, ranking, delivery, and measurement at global scale. The Role We are looking for an experienced Principal Software Engineer to help shape the architecture and technical direction of eBay’s Ads platform. You will lead large-scale initiatives, drive platform modernization, and build highly scalable distributed systems that directly impact eBay’s business and customer experience. What You Will Accomplish Lead the design and evolution of large-scale, low-latency distributed systems Drive technical strategy and architecture across multiple engineering teams Build scalable services supporting ad serving, targeting, ranking, and reporting Partner closely with product, data science, ML, and analytics teams Improve system reliability, scalability, and operational efficiency Mentor engineers and influence engineering best practices across the organization Drive modernization initiatives and adoption of new technologies What You Will Bring 10+ years of experience building large-scale distributed systems and APIs Strong expertise in system design, distributed architectures, and cloud technologies Experience with Java, Scala, or other JVM-based technologies Deep understanding of messaging systems, databases, and real-time platforms Proven technical leadership across complex cross-functional initiatives Strong communication, collaboration, and mentorship skills Experience in Ads platforms or ML-driven products is a plus Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Experience with: Distributed systems and microservices REST/GraphQL APIs Kafka or similar messaging technologies RDBMS and NoSQL databases Cloud-native and containerized environments What We Offer Opportunity to work on high-impact systems at global scale Collaborative, inclusive, and innovative engineering culture Flexible working environment and strong wellbeing support Competitive compensation and comprehensive benefits eBay is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Additional Details eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible.

Principal Software Engineer – eBay Ads (Backend / Platform Engineering) Amsterdam, Netherlands At eBay, we’re more than a global ecommerce leader — we’re changing the way the world shops and connects. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to creating economic opportunity for all while fostering an inclusive culture where everyone can thrive. About the Team eBay Ads powers the advertising ecosystem that connects buyers with sellers through relevant and engaging ad experiences. Our teams build scalable platforms and services that support ad targeting, ranking, delivery, and measurement at global scale. The Role We are looking for an experienced Principal Software Engineer to help shape the architecture and technical direction of eBay’s Ads platform. You will lead large-scale initiatives, drive platform modernization, and build highly scalable distributed systems that directly impact eBay’s business and customer experience. What You Will Accomplish Lead the design and evolution of large-scale, low-latency distributed systems Drive technical strategy and architecture across multiple engineering teams Build scalable services supporting ad serving, targeting, ranking, and reporting Partner closely with product, data science, ML, and analytics teams Improve system reliability, scalability, and operational efficiency Mentor engineers and influence engineering best practices across the organization Drive modernization initiatives and adoption of new technologies What You Will Bring 10+ years of experience building large-scale distributed systems and APIs Strong expertise in system design, distributed architectures, and cloud technologies Experience with Java, Scala, or other JVM-based technologies Deep understanding of messaging systems, databases, and real-time platforms Proven technical leadership across complex cross-functional initiatives Strong communication, collaboration, and mentorship skills Experience in Ads platforms or ML-driven products is a plus Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Experience with: Distributed systems and microservices REST/GraphQL APIs Kafka or similar messaging technologies RDBMS and NoSQL databases Cloud-native and containerized environments What We Offer Opportunity to work on high-impact systems at global scale Collaborative, inclusive, and innovative engineering culture Flexible working environment and strong wellbeing support Competitive compensation and comprehensive benefits eBay is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Additional Details eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

As Tech Lead App (React Native), you shape the technical direction of our mobile applications across iOS and Android, ensuring a scalable, consistent and high-performing app foundation within our digital ecosystem. You connect product ambitions with robust mobile engineering solutions, ensuring that React Native applications, native modules, backend APIs, data flows, and third-party services work together coherently to deliver seamless customer experiences across mobile platforms. This is a hands-on technical leadership role. You are expected to be deeply embedded in the codebase while guiding architectural decisions across React Native structure, state management, performance, native integrations, and release workflows. You understand modern mobile engineering practices well enough to challenge, guide, review, and contribute directly when needed. In short: not only leading from design discussions, but also actively shaping implementation in the real product. You are not a gatekeeper, but a facilitator of strong engineering practices, shared ownership, and continuous improvement within the mobile domain. About the team  You will join the Digital Architecture & Technology team, a team that works across Digital to shape scalable, secure, and maintainable technology solutions. We partner closely with product teams, engineers, business stakeholders, and external technology partners across areas such as MarTech, Customer Relations and Content & Design.  Key Responsibilities  Technical Leadership  Own and guide the technical direction of the React Native application(s).  Make architectural decisions around navigation, state management, modules, performance, and native integrations.  Ensure consistent patterns, coding standards, and best practices across the mobile codebase.  Evaluate and integrate mobile-specific frameworks, libraries, and native capabilities when beneficial.  Team Enablement  Mentor developers, support technical growth, and elevate mobile engineering maturity.  Lead technical discussions, facilitate design reviews, and enable shared ownership within the team.  Collaborate with backend engineers to align APIs, data structures, and contracts with mobile needs.  Support QA/Test & Reliability in ensuring stable, well-tested mobile releases.  Delivery & Quality  Drive high-quality implementation and performance optimisation across iOS and Android.  Oversee mobile CI/CD pipelines and release workflows.  Help teams proactively manage technical debt, platform differences, device fragmentation, and edge cases.  Safeguard accessibility, UX consistency, offline behaviour, and app resiliency.  Bring all of you 6+ years of software engineering experience, with strong React Native expertise.  Deep understanding of mobile architecture, state management, performance optimisation, and native bridging.  Experience shipping and maintaining production apps in App Store and Google Play.  Solid knowledge of TypeScript, modern React patterns, and mobile testing frameworks.  Comfortable working with native iOS/Android code (Swift/Kotlin/Java) when required.  Knowledge of mobile CI/CD, release automation, crash/error monitoring, and analytics solutions.  Strong communication and facilitation skills, able to guide decisions and align stakeholders.  What we expect from you We’re looking for someone who leads by example through clean code, clear thinking, and a calm, constructive way of working. Someone who naturally brings others along, rather than taking over decisions, and helps create real shared ownership within the team. In mobile, you’re comfortable with complexity. You make pragmatic choices around performance, device differences, UX constraints, and native quirks, always keeping the user and product in mind. You help others understand the “why” behind decisions. Technical trade-offs don’t stay hidden with you, you translate them clearly for both engineers and non-technical partners, bringing alignment instead of confusion. You balance speed with sustainability. You care about delivering today, but not at the expense of tomorrow’s stability or maintainability. And you stay curious. You follow how React Native and the wider mobile ecosystem evolves, and you take time to evaluate what’s genuinely valuable, not just what’s new Work with Heart & Soul   At Rituals, we are committed to care for everyone and strive to create a diverse workplace where all employees belong and have equal opportunities to succeed. Read more about our commitment here https://careers.rituals.com/en-NL/work-with-heart-and-soul/diversity-and-inclusion/ Location and Working Conditions At Rituals, we believe in the power of connection: with ourselves, each other, and the world around us. That is why we work 80% from the office (typically four days per week) and 20% from home. Together, we bring our brand philosophy to life by transforming everyday routines into meaningful moments. Your Steps to Your New Career A call with our recruiter, Renée, to go through practical details. The first interview with a team member and the hiring manager. Business case and Talogy assessments (Personality and Capability) to complete at home. The second interview. In the event of a positive outcome, you will receive a proposal with the terms of employment.

As a Senior Backend Engineer (Go), you will be the architect of our multimodal generation pipeline. You won't just be building APIs; you’ll be designing the high-concurrency systems that orchestrate "heavy" AI workloads across any media domains. Your goal is to make complex, multi step AI generation feel instantaneous and reliable for a global audience of creators. What you will do: Orchestrate Multimodal Workflows: Design and scale Go-based microservices that manage the lifecycle of AI generations. Performance Engineering: Optimize our ConnectRPC services and async processing pipelines (Kafka + SQS) to handle long-running, resource-intensive inference tasks without compromising platform stability. Build the Creative Engine: Develop the backend logic for advanced features like multimodal orchestration. Data & Infrastructure: Work with AWS to manage massive data throughput and integrate with high-performance storage and compute clusters. Collaborate with AI Researchers: Bridge the gap between raw model outputs and a polished "One Person Studio" user experience. What you will need: Advanced Go Engineering: Extensive experience building and scaling Go services in high-traffic, high-volume SaaS environments. Distributed Systems Mastery: Proven ability to design microservices that utilize asynchronous processing (Kafka & SQS) and low-latency communication (gRPC/ConnectRPC/GraphQL). Cloud Architecture: Deep knowledge of AWS (EKS, S3, Lambda) and experience managing complex compute environments. Product Rigor: A background in building professional-grade creative tools or media-heavy applications. Software Best Practices: A quality-first mindset regarding code reviews, testing strategies, and observability. Nice to have: Media Processing Experience: Familiarity with handling varied media types (video transcoding, audio synthesis, vector manipulation). AI Infrastructure: Experience with model serving at scale or managing GPU-accelerated workloads. Entrepreneurial Mindset: Experience in a fast-paced environment where you help define the product vision and iterate quickly. Is this you? Get in touch! We'd love to speak to you. You can apply by clicking the "Apply now" button. Creative Fabrica is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

ADC is a boutique Data and AI consultancy with offices in the Netherlands, Sweden, and Denmark, and an award-winning data design studio (CLEVER°FRANKE) embedded in the group. We help data-driven leaders in complex, high-stakes environments move fast without losing control. We deliver four core outcomes: growing revenue and margin, moving from AI pilots to scale, reducing risk while staying confidently compliant, and building data products people love to use.   We are a collective of statisticians, designers, PhDs, and agentic AI engineers with deep expertise in the industries we serve: financial services, life sciences, healthcare, the public sector, retail, agriculture, and transportation. We do not arrive with generic tools and a slide deck. We walk in, work alongside the people who know the organisation best, and build solutions that actually run. We call ourselves Wayfinders. Our clients trust us to navigate complexity and make it real: turning ambition into action in environments where the margin for error is small and the consequences of getting it wrong are real, for customers, employees, supply chains, and the bottom line. Shape the Future of AI-Powered Public services with ADC We're leveraging our expertise in machine learning, cloud engineering, and MLOps to power ADC's growth and deliver unmatched value to our clients. Our Public & Society team is growing, and we are looking for a Machine Learning Engineer, who is curious, technically driven, and eager to grow with us. In this role, you will design, build, deploy, and maintain production-grade machine learning solutions while applying modern software engineering practices to real-world public sector challenges. You will contribute to data and AI initiatives for public institutions, developing scalable systems that help improve public services, optimise operations, and enable data-driven decision-making. You'll be part of a cross-functional team, working alongside data engineers, data scientists, machine learning engineers, and public sector stakeholders to bring machine learning solutions from experimentation to production. You'll help build scalable machine learning platforms, deploy robust ML solutions, and ensure they operate reliably, securely, and responsibly. You will work in highly regulated environments where privacy, traceability, and reliability are critical requirements. Where you'll make an impact Build Machine Learning solutions for Public Sector challenges Design, develop, deploy, and maintain machine learning systems that address complex challenges within public sector organisations. Build scalable, secure, and reliable solutions that support critical public services and operational processes. Translate business challenges into practical, production-ready machine learning applications that create measurable impact. Engineer robust Machine Learning systems for production Develop and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, model training, deployment, monitoring, and continuous improvement. Apply MLOps best practices using technologies such as Azure, Databricks, MLflow, Docker, Airflow, and CI/CD tooling. Ensure machine learning systems are scalable, resilient, observable, and maintainable in production. Deliver responsible and secure AI Build and implement machine learning solutions that meet high standards for security, privacy, transparency, and governance. Contribute to architectures that support regulated and mission-critical public sector environments. Implement model governance, monitoring, explainability, and compliance practices throughout the machine learning lifecycle. Collaborate and drive continuous improvement Work closely with engineers, architects, data scientists, and client teams to deliver end-to-end machine learning solutions. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Continuously improve engineering practices, architectures, and ways of working to deliver sustainable, high-quality outcomes. What you bring At ADC, we're not just consultants. We're leading experts in Data & AI, using our expertise in strategy, business operations, and advanced analytics. What unites us is a shared way of working: breaking down complex challenges to change how organisations operate. For this role, that means: A strong technical academic background: Computer Science, Machine Learning, Artificial Intelligence, Software Engineering, Data Engineering, or a similar technical field. Relevant professional experience: 3+ years of experience in Machine Learning Engineering, AI Engineering, Data Engineering with an ML focus, or a similar role, preferably within large and complex organisations. Hands-on experience across the machine learning lifecycle: Building, deploying, and maintaining production-grade machine learning solutions using Python and modern software engineering practices. Experience across the machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Familiarity with cloud platforms (Azure, AWS), MLOps practices, CI/CD workflows, model governance, and tools for model tracking, experimentation, and deployment (e.g. MLflow, Databricks, Azure Machine Learning, or similar technologies). Experience working with data and regulated environments: Understanding of data pipelines, distributed processing, APIs, scalable data architectures, orchestration frameworks, and delivering solutions in public sector environments where privacy, traceability, governance, and reliability are essential. Experience implementing Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents, is considered a plus. Strong communication and collaboration skills: Able to translate complex technical concepts into clear, actionable recommendations for both technical and non-technical audiences, from engineering teams to senior public sector stakeholders. A proactive and collaborative mindset: You enjoy solving challenging problems, driving innovation, and working closely with others to deliver meaningful outcomes. Fluency in English and Dutch is required. Willingness to travel within the Netherlands. What's in it for you At ADC, you're part of the collective from day one. We want you to grow, experiment, and shape your own path while working on projects that matter. That means: Impact you can point to: You'll see your work in action as AI solutions create measurable value for government organizations, public institutions, and the people they serve. Real responsibility, real support: You'll work alongside experienced experts from the start, learning by doing with mentorship and feedback built in. The freedom to try new things: Spot a better way to build something? A smarter process? We want people who challenge the status quo. Collective Week: Once a year, we go on a workation with the whole ADC team. We work on pro bono projects, explore new ideas, and make the kind of memories you'll want to talk about. Ownership opportunities: We offer a competitive salary and bonus structure, plus the opportunity to invest in the company and become a co-owner once specific conditions are met. We mean it when we say collective. A vibrant culture: Daily lunches, Friday drinks, sports, social events: a culture you'll notice from day one. What to do next If you believe in building with heart, thrive on collaboration, and want to grow with a team that challenges and supports you, we want to meet you! If this sounds like your next challenge, apply through the link below. *Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in Directive 2000/78/EC. We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further.

Syntho is a data technology organization with a strong expertise in synthetic data, headquartered in Amsterdam, Netherlands. It was founded in 2020 with the goal of solving the global privacy dilemma and enable the open data economy, where data can be used and shared freely and privacy guaranteed. We offer privacy-preserving synthetic data to unlock your data and take away legitimate privacy concerns. As a startup, Syntho has ambitious plans in the upcoming years and is growing really fast. Want to grow your career and be at the forefront of data-driven innovation? Then we’re looking for you! Role Description We are looking for a Senior Software Engineer to join our team and help improve our rapidly growing application. You will work across all layers of our technology stack, solving complex challenges related to distributed computing, performance optimization, and software maintainability. Your contributions will directly impact the scalability, reliability, and efficiency of our platform. What’s in it for you Opportunity to work on a cutting-edge distributed computing platform. Solve real-world challenges related to performance, scalability, and maintainability. Working with a young & ambitious team that values software engineering best practices. Work with state-of-the-art technologies and become front-runner with the latest (AI) developments. Doing good – contribute in solving one of the key global challenges: the data / privacy dilemma. Regular team outings and Friday company catch-ups and drinks. An awesome startup culture of responsibility and freedom to turn your ambition into reality. Job requirements Key Responsibilities Design, develop, and optimize both frontend and backend components, ensuring clean, maintainable, and efficient code. Capable of developing production-ready features from front to back Address technical debt, refactor inefficient code, and resolve memory overflow issues. Implement software engineering best practices (SOLID, DRY, Clean Code, Design Patterns, etc.). Write and maintain unit and integration tests for all application layers. Improve system observability, monitoring, and debugging tools. Collaborate with other engineers and stakeholders to define best practices and architectural improvements Our technology stack consists of: Ray.io, FastAPI, Celery/Redis, Alembic, Django (being discontinued), and NextJs, the person for this position should be capable of engineering solutions using this technology stack with least friction, or in similar ones.

Staff Engineer - Money Movement In this role, you will be a technical leader and trusted advisor, shaping the architecture, design, and execution of critical systems that power Adyen’s global financial products. You’ll work closely with engineering teams, product partners, and cross-functional stakeholders to solve complex technical challenges, drive technical excellence, and ensure our solutions scale with the needs of our global business. Your expertise will guide the direction of our technology stack, influence best practices, and help set the technical vision for the organization. You thrive in a fast-paced, global environment and are passionate about building robust, scalable systems that deliver real value to Adyen’s customers. You’re not afraid to challenge the status quo, advocate for innovation, and mentor others to raise the bar across the engineering organization. This is a pivotal moment to shape the future of Financial Products at Adyen, and your impact will be felt across the company and beyond. What you'll do Scale and expand our money movement foundation that supports the needs of all Adyen products; Provide architectural and design leadership to build a strong foundation for our Financial Products offering; Optimize Adyen banking connection globally, including zones where Adyen holds a banking license as well as areas where Adyen uses partners; Design and build new banking rails as Adyen expands their products; Mentor engineers to uphold high standards of and technical excellence; Drive a culture of continuous innovation by challenging the status quo and introducing transformative ideas. Who you are Must have: 2+ years of experience in the financial industry, preferably in the banking or fintech sector; 15+ years of hands-on development experience in a modern engineering environment; Technical leadership experience, including mentoring engineers and leading an engineering strategy; Hands-on experience designing and building large scale distributed systems; Strong background and hands-on experience coding with Java; Platform mindset. Able to generalize complex processes and create simple and flexible services to support multiple products; Proactive relationship-builder with strong communication skills and the ability to work closely with diverse stakeholders across cultures; Self-starter who can identify problems and figure out solutions Nice-to-have: Experience with banking in EU, UK or US; Working in both European and US markets, with an understanding of their different regulations and challenges. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. Positions, PnL, and hedging all run through our Mid-Office team. When the numbers our traders and risk team rely on are wrong, this is where it gets found and fixed. The role We're looking for a Software Engineer to join our Mid-Office team in this role, you'll own the systems that keep positions, PnL, and hedging correct across every venue we trade. You build and run the platform, and you're the one who notices when a number looks wrong and follows it until you know why. You will: Own the books. Maintain and evolve our position, trade, and PnL systems so they stay accurate across every venue. Do the quant work. Build and refine our hedging, Greeks, margin models, and early exercise premium calculations. Surface the risk. Build the risk views and calculations that show traders and the risk team what exposure we're carrying. Support the desk. Work side by side with traders and researchers, making sure the data they rely on is correct and available. Deliver reporting. Provide the data that internal stakeholders and regulators require, PnL breakdowns, trade surveillance, treasury accounting, and compliance. Own it in production. Spot discrepancies in live data, trace the root cause, and maintain what you ship. What we're looking for An engineer at heart with a strong quantitative background. Real enthusiasm for the engineering work. A relevant educational background, ideally in a quantitative field such as Mathematics, Econometrics or Computer Science. Professional work experience with Python, Grafana and PostgreSQL. Strong Debugging skills. You can trace problems to their source even in unfamiliar systems A critical mind that follows things until completion, high ownership, and clear communication in English Nice to have Experience in finance (ideally trading), on the systems behind positions, PnL, risk, and hedging What's in it for you? A full-time position in a relaxed and modern office in Amsterdam Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance. Outstanding performance is rewarded with the opportunity to buy into the trading fund Pension plan, company laptop, and reimbursement of your internet costs at home An extensive in-house training program and an annual learning & development budget, working at the forefront of automated trading using state-of-the-art technology, in an environment that embraces AI to both accelerate productivity and advance our systems and models Gym membership reimbursement and the opportunity to engage in various sports during working hours, including kickboxing, CrossFit, fitness, and soccer, plus regular social events including weekly Friday drinks, monthly outings, quarterly sports competitions, and bi-annual trips abroad Daily breakfast and warm lunch, with snacks and drinks provided throughout the day. For internationals: all-in relocation package and Dutch classes Our culture At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals. In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities. We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.

Webfuse is Surfly’s browser-based platform for securely adding functionality, automation, and collaboration to existing web applications without changing their source code. It combines JavaScript sandboxing with proxy infrastructure, creating unusual engineering challenges across browser APIs, web security, real-time communication, and distributed systems. As a Senior Full-Stack Software Engineer, you will join our Product Engineering team in Amsterdam. This is a genuinely full-stack role: projects regularly cross frontend and backend boundaries. You will own production features from technical design and implementation through testing, release, and maintenance. Your work will include a mix of: Building in-session interfaces and tools using TypeScript and Vue.js Developing APIs and backend services using Python, Django, Django REST Framework, Node.js, and Go Building real-time collaboration features using WebSockets and WebRTC Developing browser automation, in-session extensions, and security controls Building integrations with customer and partner systems Developing MCP and WebMCP capabilities that allow AI agents to interact with Webfuse sessions Testing, debugging, deployment, and production maintenance are part of owning a feature - not separate responsibilities handed to another team. We expect you to bring deep expertise in at least one part of the stack and to contribute confidently across the wider platform. As part of a small engineering team, you will have direct influence over technical decisions and how features are built. Our team is international and English is our working language. This is an office-first hybrid role: you will work from our Amsterdam office four days per week, with the option to work from home one day per week.

We’re at a pivotal point in our journey. Xebia is scaling globally and continuing to invest heavily in engineering excellence, cloud-native development, and AI-driven innovation. For us, consulting is about more than delivering code. It’s about partnering with organisations to design, build, and evolve the systems that power their businesses. Our teams work on complex software challenges across industries, combining deep technical expertise with a pragmatic consulting mindset. At the same time, we’ve built a community where people come first. Our consultants are encouraged to grow into advisors and thought leaders whether that means contributing to open source, speaking at meetups, publishing blogs, or mentoring the next generation of engineers. The Software Development Practice Within Xebia Software Development, we focus on building high-quality, scalable backend systems using modern engineering practices. Our consultants work with clients across the Benelux to design and build distributed systems, cloud-native platforms, AI-driven applications, and business-critical software solutions. Our engineering culture is deeply rooted in craftsmanship. Clean code, automated testing, continuous delivery, strong architectural thinking, and pragmatic AI adoption are at the heart of everything we do. We believe great software is built by teams that learn from each other, challenge each other, and continuously improve. You’ll be part of a community of engineers who are passionate about technology and eager to share knowledge - whether through internal guilds, tech sessions, contributions to the wider developer ecosystem, or exploring the latest developments in AI engineering. The Role: AI-Driven Software Development Consultant As an AI-Driven Software Development Consultant at Xebia, you’ll work closely with clients to design and build high-quality software solutions. Each project is different, giving you the opportunity to work across industries, technologies, and engineering challenges. Depending on the engagement, you might: Design distributed systems and scalable backend services Build cloud-native platforms and modern APIs Improve engineering practices within development teams Help organisations adopt modern software architectures Explore and implement AI-driven solutions and intelligent applications We aim to match projects with your strengths and ambitions. Whether you want to deepen your technical expertise, grow into a technical leader, expand your consulting skills, or further develop your AI capabilities, we support your growth every step of the way. The People You’ll Work With One of the best parts of Xebia is the people. You’ll work alongside some of the most experienced software engineers and AI specialists in the industry: consultants who are not only technically strong but genuinely passionate about sharing knowledge. Collaboration is a big part of our culture. Engineers regularly exchange ideas, discuss architecture, experiment with emerging technologies, and challenge each other to continuously raise the bar. Being part of a consultancy also means connecting with colleagues across different practices, creating a vibrant ecosystem of expertise in software engineering, cloud, data, and AI. Growth, Community & Brand At Xebia, your growth is a long-term investment. You’ll have access to: A substantial training budget and certification opportunities Conference-style knowledge-sharing events with technical talks, workshops, and peer learning Career development support to help you grow your technical expertise, consulting skills, leadership capabilities, and AI knowledge Opportunities to share your expertise externally through conferences, technical blogs, open-source contributions, and developer communities

You'll join the ALF (Localization Features) team within TomTom's ADAS & ADS Product Unit, which develops the HD maps and ADAS technology that powers real-time location intelligence for major automotive and tech companies. ALF is responsible for the localization features layer of the HD map and the ML systems that extract them from real-world sensor data at world scale. You'll work shoulder-to-shoulder with applied scientists and software engineers, partner with adjacent teams, and own the quality trajectory of features that ship to customers under hard product targets.  What you will do: Work with a team of medior and senior engineers and applied scientists to develop high-quality algorithms and ML software that powers TomTom's HD maps for ADAS. Lead the design, implementation, and integration of algorithms, ML systems, and data pipelines within your area of focus, from problem framing through experimentation to production rollout. Drive measurable improvements in output quality (recall, precision, latency, cost) against hard customer-facing targets. Lead well-scoped projects and own components within the team's processing pipelines, from upstream input data through algorithmic and ML processing to validated outputs published to downstream consumers. Tackle complex technical problems at scale: noisy upstream signals, geospatial geometry, ground truth quality, and large-scale evaluation pipelines. Build iteratively using agile methodologies and rigorous experimentation; document outcomes so the team can build on them. Mentor junior engineers and interns, provide insightful code reviews, and contribute to hiring as an interviewer.  What you will need: 4+ years of professional Applied Science, Machine Learning, algorithm development, or related experience. Bachelor's degree (minimum) in Computer Science, Machine Learning, Computer Vision, Geospatial Science, Statistics, or a related quantitative field. Master's or PhD is a plus. Solid fundamentals in algorithm design and analysis: data structures, complexity reasoning, and applied algorithms for geospatial and signal-processing problems. Solid fundamentals in machine learning: model training and evaluation, statistics, and experimental design. Proficiency in Python; experience with at least one ML framework (PyTorch, TensorFlow, or equivalent) and at least one large-scale data processing framework (Spark, Databricks, or equivalent). Experience taking algorithms, ML models, or data pipelines into production, not just running experiments offline, and leading well-scoped projects or components to delivery with minimal guidance. Experience mentoring junior colleagues and providing insightful code reviews. Breadth across applied science: comfortable working across algorithms, modeling, evaluation, ground truth quality, and methodology, with depth in some of them. You should be able to pick up a new sub-domain quickly rather than only operating in a single area of expertise. Working familiarity with several of the following (no need to be deep in all): algorithm design for geospatial and geometric problems (polygon geometry, map-matching, spatial indexing), classical ML and clustering on noisy sensor data, computer vision (detection, segmentation), data and ML pipelines at scale (training pipelines, MLOps, dataset generation). Proficient in written and verbal communication in English. Curiosity and desire to learn, and to expand your skill set across the ML stack. Ability to solve complex problems on your own, taking a new perspective on existing solutions and leveraging your experience, peers, and other resources.  What we offer A competitive compensation package, of course.   Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O’Reilly and LinkedIn Learning.  Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.   Work flexibility, where TomTom’ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It’s all about getting the best out of both worlds – we ask TomTom’ers to come to the office two days a week, and the remaining three are free to be worked in either location. Improve your home office with a setup budget and get extra support with a monthly allowance.  Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we’re mapping.   Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.

Do you want to work out how you actually measure whether an AI system is doing a good job, and then make it better? We're looking for a sharp, analytical data scientist to own the evaluation and quality loop of our AutoQA product. You can be early in your career (recent graduates with strong LLM fundamentals are welcome), we have room and a clear path for you to grow. In a nutshell Join a fast-growing SaaS company in an international environment (steep learning curve guaranteed). Own a high-impact problem: making LLM-powered quality assurance measurably accurate at scale. Sit at the intersection of AI and CX, working directly with enterprise customers and their real-world QA rubrics. Grow into a Senior Data Scientist, AI Engineer, or ML Engineer role. We invest in progression. Enjoy the perks: flexible hours, open holiday policy, an office in the heart of Amsterdam with hybrid flexibility, visa sponsorship, great gear, workations, and team events. About Kaizo At Kaizo, we build a performance development and quality platform for customer support teams. Our AutoQA product uses LLMs to review support conversations against each customer's own quality rubric, automatically and at scale. Behind it sits a microservices-based stream processing platform handling over 200 million events per day (Kafka, Kubernetes on Google Cloud, ElasticSearch, MongoDB, BigQuery), and an LLMOps stack built around LangSmith for experimentation, prompt management, and tracing. The hard part isn't calling an LLM. It's knowing, with evidence, how well the system performs on every customer's unique rubric, and having a reliable, repeatable way to improve it. That's where you come in. What you'll focus on Translate customer rubrics into AutoQA instructions. Work with real customer quality criteria and turn them into precise, testable instructions that LLMs can score reliably. Run experiments that move accuracy. Design and execute evaluation experiments on large, representative datasets using LangSmith and BigQuery, and track quality with our performance metrics. Build the datasets that make evaluation possible. Curate raw production data into golden datasets with balanced coverage, and generate synthetic data to cover the rare cases that matter most. QA is a discipline of rare occurrences: distributions are skewed, positives are scarce, and resourcefulness beats volume. Build LLM-as-a-judge pipelines to assess system quality internally and make evaluation repeatable. Make results actionable. Your experiments should end in a decision: change a prompt, adjust which tools the system uses, surface context the AI is missing, or flag where new capabilities are needed. You'll work with the AI team to ship those decisions. Evaluate across the full stack. Beyond scoring quality, you'll help validate retrieval (RAG/IR), tool calling, and speech pipelines (transcription and diarization quality). Join customer calls with the team to understand how QA leaders define quality, and feed what you learn back into the product. What you'll grow into Shaping how customers monitor quality themselves, catch drift, and keep their AutoQA setup improving over time. Smarter categorization and routing of conversations to power analytics and get the right tickets to the right evaluation. Job requirements A solid understanding of how LLMs work and hands-on experience prompting them for accuracy (coursework, thesis, internships, or side projects all count; production experience is a bonus). Good applied statistics: experiment design, classifier evaluation, precision/recall trade-offs, and working with heavily imbalanced data. Strong Python skills and fluency with the standard data toolkit (Pandas, NumPy, Jupyter). SQL is a plus. An analytical, evidence-first mindset: you'd rather measure than assume. Product sense and empathy for end users. You'll be building for QA managers and support agents, not just for benchmarks. Excellent written and verbal communication. You'll present findings to the team and join customer conversations. 0 to 2 years of industry experience. Recent graduates with strong relevant work are encouraged to apply. A team player who's comfortable wearing multiple hats. We're an early-stage company and things move fast. Bonus points for: Experience with LangSmith or similar LLMOps/evaluation tooling Google Cloud Platform, BigQuery, Docker, or Kubernetes Speech/audio processing or ASR evaluation Fine-tuning or building synthetic datasets for LLMs Who you'll work with You'll join our AI team (two data scientists, an AI engineer, and an ML engineer) and collaborate closely with our data engineers, frontend engineers, designer, product manager, and CX teams. You'll have mentorship from day one and real ownership fast. What's in it for you? An office in the heart of Amsterdam, with the flexibility of hybrid working Visa sponsorship available for eligible candidates Great office gear: MacBook, tools, desk, chair, whatever you need Flexible working schedule and an open holiday policy Fun workations and team events A clear growth path into Senior Data Scientist, AI Engineer, or ML Engineer roles

Build software professionals trust when accuracy matters most.  Nextens develops the leading tax and compliance platform for professionals in the Netherlands. Trusted by thousands of experts, our software supports more than 1 million filings each year and helps organizations navigate evolving tax rules, high-volume data, and complex workflows with precision and reliability.  Built on deep domain expertise and a commitment to continuous innovation, Nextens not only ensures compliance, we set the standard for how tax professionals work.    Your Role  As a Senior Software Engineer at Nextens, you own meaningful parts of a business-critical platform used daily by thousands of professionals. You design and deliver robust software, make sound technical choices, and help raise the quality of a platform where accuracy, reliability, and maintainability truly matter.  You enjoy complex engineering challenges and bring the judgement to balance quality, delivery, and long-term maintainability. Together with domain experts, fellow engineers, and product owners, you translate changing fiscal requirements into software our customers can trust completely.  You will join Team Fiscal, a product engineering team responsible for key parts of our Dutch tax filing platform. Together with fiscal experts and product colleagues, the team translates changing legislation into reliable software for tax professionals across the Netherlands.  Key responsibilities include:  Design, build, and evolve core modules for tax filing and compliance, taking ownership from solution design through long-term maintainability.  Use modern engineering practices, including AI-assisted development tools where appropriate, to improve productivity, quality, and maintainability.  Develop and improve back-end and front-end components, APIs, interfaces, and integrations for a scalable, stable platform with large data volumes and complex tax logic.  Contribute to new features and innovations, such as integrations with external systems and tools for tax advisory workflows.  Work closely with domain experts and product owners to translate regulations and customer needs into reliable software solutions.  Improve engineering quality through testing, refactoring, code reviews, and mentoring other engineers.    What You Bring  A bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.  4+ years of hands-on software development experience, with evidence of increasing technical ownership, preferably with C, .NET, Azure, and modern web technologies.  A strong quality mindset, including testing, refactoring, code reviews, clean architecture principles, and coaching others to raise engineering standards.  Interest in using AI-assisted development tools responsibly as part of everyday engineering work.  Strong analytical and problem-solving skills, especially when working with complex logic or data.  A collaborative mindset — you enjoy working closely with engineers and domain experts to create practical, high-quality solutions.  A focus on clean, maintainable code and a habit of writing tests to ensure quality.  Fluency in English is required. You can read and understand Dutch requirements texts; spoken Dutch is helpful but not essential.    Why Join Us  At Nextens, your work powers the backbone of professional Dutch tax processing and helps thousands of professionals work smarter, faster, and more confidently. Our customers trust us not only for accuracy and compliance, but also because we innovate and improve how they work.  What makes this role unique:  Technical challenges → scalable systems, evolving regulations, and high-volume data processing.  Real impact → your solutions directly support over 1 million filings every year.  Ownership → take responsibility for important platform areas and help guide technical choices.  Technical leadership → mentor colleagues and help raise engineering quality across the team.  What we offer you:  Hybrid flexibility → combine working from home with collaboration at our modern Amsterdam office.  Work-life balance → flexible hours, generous vacation days, and up to 20 days of remote work abroad per year.  Competitive package → a strong salary, attractive benefits, and professional development opportunities.  Great environment → a collaborative workplace, fully equipped in-house gym, and regular team-building activities.    Ready to Build What Matters?  If you're eager to take ownership of complex engineering challenges and help shape how tax professionals work, we’d like to hear from you. Build software where precision matters and your expertise leads the way.    *******   Senior Software Engineer – .NET/Azure Tax Platform  Amsterdam | Hybride werkmodel | Fulltime  Bouw software waar correctheid geen bijzaak is.  Nextens ontwikkelt het toonaangevende platform voor fiscale software en compliance in Nederland. Duizenden belastingadviseurs en financiële professionals vertrouwen dagelijks op onze oplossingen om te voldoen aan wet- en regelgeving, efficiënter te werken en zorgeloos aangifte te doen.  Onze software ondersteunt jaarlijks meer dan 1 miljoen aangiftes en helpt organisaties omgaan met grote hoeveelheden data, complexe workflows en steeds veranderende fiscale regels. Dankzij onze diepe domeinkennis en voortdurende innovatie zijn wij een betrouwbare partner voor professionals die hun werk nauwkeurig, efficiënt en met vertrouwen willen doen.    Jouw rol  Als Senior Software Engineer bij Nextens neem je verantwoordelijkheid voor betekenisvolle onderdelen van een bedrijfskritisch platform dat dagelijks door duizenden professionals wordt gebruikt. Je ontwerpt en bouwt robuuste software, maakt doordachte technische keuzes en helpt de kwaliteit te verhogen van een platform waar nauwkeurigheid, betrouwbaarheid en onderhoudbaarheid echt tellen.  Je krijgt energie van complexe technische uitdagingen en weet kwaliteit, voortgang en onderhoudbaarheid goed in balans te brengen. Samen met domeinexperts, andere engineers en productowners vertaal je veranderende fiscale eisen naar software waar onze klanten blind op kunnen vertrouwen.  Je komt terecht in Team Fiscal, een product engineering team dat verantwoordelijk is voor belangrijke onderdelen van ons Nederlandse belastingaangifteplatform. Samen met fiscale experts en productcollega’s vertaalt het team veranderende wet- en regelgeving naar betrouwbare software voor belastingprofessionals in heel Nederland.  Je werkzaamheden:  Ontwerpen, bouwen en doorontwikkelen van core modules voor belastingaangifte en compliance, met eigenaarschap van oplossingontwerp tot langdurige onderhoudbaarheid.  Moderne engineeringpraktijken toepassen, waaronder AI-ondersteunde ontwikkeltools waar passend, om productiviteit, kwaliteit en onderhoudbaarheid te verbeteren.  Ontwikkelen en verbeteren van back-end en front-end componenten, API’s, interfaces en integraties voor een schaalbaar en stabiel platform met grote datavolumes en complexe belastinglogica.  Meewerken aan nieuwe features en innovaties, zoals koppelingen met externe-pakketten, of integratie van tools voor fiscale advisering.  Samenwerken met domeinexperts en product owners om regels en klantwensen te vertalen naar betrouwbare software.  Engineeringkwaliteit verbeteren via testen, refactoring, code reviews en coaching van andere engineers.    Wat jij meebrengt  Een afgeronde hbo- of wo-opleiding in informatica, software engineering of vergelijkbaar.  4+ jaar ervaring in softwareontwikkeling, met aantoonbare groei in technisch eigenaarschap, bij voorkeur met C, .NET, Azure en moderne webtechnologieën.  Een sterke kwaliteitsmindset, met aandacht voor testen, refactoring, code reviews, clean architecture-principes en coaching van anderen.  Kennis van moderne webtechnologieën, zoals Angular, React of vergelijkbare frameworks.  Interesse om AI-ondersteunde ontwikkeltools verantwoord in te zetten als onderdeel van dagelijks engineeringwerk.  Een gestructureerde, analytische manier van denken.  Een samenwerkende instelling: je zoekt actief de samenwerking op om tot praktische, elegante oplossingen te komen.  Je beheerst Engels goed en kunt Nederlandstalige teksten lezen en begrijpen; Nederlands spreken is mooi meegenomen, maar geen vereiste.    Waarom Nextens  Bij Nextens werk je aan software die echt het verschil maakt. Onze klanten vertrouwen op ons voor nauwkeurigheid en verwachten dat wij blijven innoveren. Hier bouw je niet alleen mee aan het huidige platform, maar ook aan de manier waarop professionals in de toekomst werken.  Wat deze rol bijzonder maakt:  Technische uitdaging → complexe algoritmes, hoge datavolumes en veranderende fiscale regels.  Zichtbare impact → jouw oplossingen ondersteunen jaarlijks meer dan 1 miljoen aangiftes.  Eigenaarschap → je neemt verantwoordelijkheid voor belangrijke platformonderdelen en helpt technische keuzes richting te geven.  Technisch leiderschap → je coacht collega’s en helpt de engineeringkwaliteit binnen het team te verhogen.  Wat wij jou bieden:  Hybride werken → combineer thuiswerken met samenwerken op ons moderne kantoor in Amsterdam.  Goede werk-privébalans → flexibele werktijden, ruim aantal vakantiedagen en de mogelijkheid om 20 dagen per jaar vanuit het buitenland te werken.  Sterk arbeidsvoorwaardenpakket → competitief salaris, aantrekkelijke secundaire voorwaarden en ruimte voor professionele ontwikkeling.  Fijne werkomgeving → collegiale sfeer, volledig uitgeruste in-house gym en regelmatige teamactiviteiten.  Klaar om te bouwen aan wat ertoe doet?  Wil jij eigenaarschap nemen over complexe technische uitdagingen én invloed hebben op hoe belastingprofessionals hun werk doen?  Sluit je dan aan bij Nextens en bouw mee aan oplossingen waar precisie telt en jouw expertise het verschil maakt.

Create impact where decisions are made As a People Strategy Consultant at Effectory you will work directly with CHROs, executives and leadership teams to turn employee feedback into strategic business decisions. You help organizations tackle challenges related to leadership, culture, organizational effectiveness and transformation by combining people insights with business context. As a trusted advisor and challenger you build influential relationships across customer organizations, challenge assumptions and help leaders align people strategy with business priorities. Together with Sales, Customer Success and Key Account Management, you drive long-term customer value and organizational impact across Mid-Market and Enterprise organizations in the Benelux. About Effectory Effectory is Europe's leading employee feedback solution. With our platform, HR and management collect employee feedback throughout the employee journey. This feedback is transformed into people analytics that informs strategies to boost productivity, engagement and retention. Built on 30 years' experience, our 200 specialists in Amsterdam and Munich support more than 1.200 organisations in 70+ countries. Now more than ever, HR is an integral part of business strategy - which is why our feedback solution is tailor-made for strategic HR.  Our mission We are dedicated to improving the working world by giving employees a voice and making sure their feedback has an impact. Our experts work with HR teams and managers around the world, using employee feedback to overcome some of their biggest people-oriented challenges. From software engineers to HR specialists, every day Effectory’s people work to improve the working world, and we are looking for talented individuals who also want to be part of this mission. What you’ll be doing Advise senior stakeholders on organizational development, leadership and strategic people challenges. Translate employee feedback into meaningful insights and recommendations. Facilitate discussions and presentations with executive and board-level audiences. Build and expand relationships across customer organizations and stakeholder networks. Challenge leaders, uncover blind spots and create alignment between people strategy and business priorities. Work closely with Account Executives, Customer Success Managers and Key Account Managers to drive customer impact, retention and growth. Identify opportunities to deepen strategic partnerships and increase customer value. THIS IS YOU What you'll bring 4–6 years of experience in organizational development, consulting, HR advisory or a similar field. Strong stakeholder management and influencing skills. Experience working with senior leaders and executive audiences. Ability to turn customer strategy into tangible deliverables through employee listening. Excellent presentation and communication skills. A challenger mindset and the confidence to influence strategic decision-making. Commercial awareness and a proactive mindset. Fluent Dutch and professional English. What we offer Competitive base salary, plus a transparent team bonus scheme with 2 months' salary OTE and up to 3 months for exceptional performance. A highly experienced team of consultants and customer growth professionals. The chance to create meaningful impact in boardrooms across a wide range of industries. 25 days annual leave + 4 company-wide cool-down days, your birthday off, and a day off to move house. And the option to purchase extra holidays. Full additional parental leave for partners. Flexible working hours (7am–7pm), hybrid working model, and up to 4 months working from abroad. Commuter and work-from-home allowance + budget to set up your home office. Pension and access to financial advice. Annual Body & Mind budget for anything that energises or relaxes you. Personal learning budget + extensive internal development opportunities. Yearly Summer School & Winter School. Annual events: Winter Party, Summer Party & the legendary Big Day. A hot lunch made by our in-house chef at our Amsterdam office. A week of fun and interactive onboarding to get to know Effectory and your new colleagues. A sabbatical once every 5 years. A volunteer day to support a cause you care about.   This Is How It Works You want this job — submit your application We're intrigued — join a phone call to introduce yourself and ask questions We think it went well — we meet live (or on video) to get to know each other better We like each other even more — you meet potential team members and get a pleasant grilling We want to see you in action — you complete a case or assessment (if applicable) The final hurdle — we agree on terms, sign, and you start We want to be part of creating a more diverse, equitable and inclusive world of work. Even if you don't meet every requirement, we'd still really like to hear from you.

BlockTech is a fast-paced algorithmic trading firm. Specializing in crypto options, we facilitate global cryptocurrency derivatives and spot trading, while expanding into new markets. As we continue to grow rapidly, we are looking for a Senior Software Engineer to take technical ownership of the data infrastructure our trading and technology teams are built on. Every decision at BlockTech starts with data: exchange feeds, our own trade and account events, and the history we query to make sense of both. The Foundation team owns the systems that move, aggregate, and store all of it. We run our own Kafka, NATS, PostgreSQL, ClickHouse, and Iceberg, self-hosted and tuned by us. We work primarily in Rust, with Python and SQL alongside. This is a role for an engineer who has already built and operated data infrastructure at scale, and who wants their technical decisions to set direction rather than follow it. What will you do? You will own the pipelines and stores every other team depends on. When a researcher backtests a strategy, when a trader checks a position, when risk queries yesterday, they are all reading data your systems ingested, routed, and kept correct. As a senior engineer, you will also set the technical standards the rest of the team builds against. You will: Own the ingest path. Collect public and private exchange information and internal trading data with minimal latency impact, and land it in our trading systems in real time. Architect the streaming layer. Design and operate our Kafka and NATS messaging systems for the throughput and delivery guarantees our critical flows depend on. Build the storage layer. Develop real-time aggregation and long-term storage across PostgreSQL, ClickHouse, and Iceberg, and make the structural calls that keep queries fast as volumes grow. Run what you build. Own capacity, retention, schema evolution, and failure behavior for infrastructure we host ourselves, with no managed service to hide behind. Make the data trustworthy. Design the detection and repair flows that catch gaps, duplicates, and drift, and correct them before anyone downstream notices. Enable other teams. Work with trading, quantitative research, and engineering to make integrating with our platform straightforward, and turn recurring problems into shared libraries and frameworks. Drive projects end to end. Take work from concept to production with full ownership, and bring in new tools and approaches when the current ones stop being the right answer. Raise the bar. Mentor engineers, lead by example in code and design reviews, and influence the technical direction of the wider team. What we're looking for Essential: 5+ years as a software engineer, including a track record of designing and operating production data infrastructure where reliability and correctness are non-negotiable. Proficiency in Rust, or strong C/C++ with the appetite to work primarily in Rust. Hands-on experience with the infrastructure we rely on: Kafka, Redpanda, NATS, PostgreSQL, ClickHouse, and/or Iceberg. Ideally self-hosted rather than through managed or cloud services. Solid understanding of distributed systems, with the judgment to reason about consistency, backpressure, and failure modes. Systems-level thinking, including a feel for where hardware constraints start to matter. A very strong sense of end-to-end ownership, and a critical mind that follows problems through to completion. Good written and verbal communication skills in English. Bonus points for: A background in trading, fintech, or another domain where bad data has immediate consequences. Experience with observability tooling such as Grafana. Familiarity with WebSockets, compiler engineering, or systems security. How we work This is an on-site role in our Amsterdam office, built around a high degree of autonomy and end-to-end ownership. You will have hard problems to own from concept through to production, and the freedom to solve them your way. It is a strong fit for people who are energized by deep technical challenges, a wide variety of technologies, and a high level of responsibility. What's in it for you? A full-time position in a relaxed and modern office in Amsterdam Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance Outstanding performance is rewarded with the opportunity to buy into the trading fund Pension plan, company laptop, and reimbursement of your internet costs at home An extensive in-house training program and an annual learning & development budget The opportunity to work at the forefront of automated trading using technology built for speed and precision, in an environment that embraces AI to both accelerate productivity and advance our systems and models Gym membership reimbursement and the opportunity to engage in various sports during working hours, including kickboxing, CrossFit, fitness, and soccer Regular social events, including weekly Friday drinks, monthly outings, quarterly sports competitions, and bi-annual trips abroad Daily breakfast and warm lunch, plus snacks and drinks throughout the day For internationals: an all-in relocation package and Dutch classes Our culture At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals. In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities. We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.

Monumental is automating on-site construction with robotics and software. Our mission is to make construction software-defined and autonomous - a future where beautiful, bespoke buildings go up in a single day, with minimal labour. We're a growing team of engineers, operators and technicians from companies like Palantir, Qualcomm, Dyson, Shopify, Tesla, Meta and Google DeepMind. It's still the early days of building the company, and this is a chance to make an outsized impact on a problem that matters. From day one, you’ll be working with an experienced founding team, backed by a $32M Series B led by Khosla Ventures and Plural. Monumental is based in the city centre of Amsterdam, in a beautiful facility with an fully equipped workshop and robot testing floor. We build the whole stack in-house - hardware and software, we're explicitly not a hybrid or remote-first company - you can't build robots or walls from home, so we're onsite five days a week. Read more on why we believe you should spend your time working on construction, and learn about our vision and company. You might enjoy our YouTube Channel, Based in Europe’s film on how we’re fixing Europe’s housing shortage, or this video by Andreas Klinger of what our office looks like. About the role Monumental are automating on-site construction with robotics and software. Atrium, our operating system for construction, lets us do everything from building walls with our robots, to designing buildings, managing our robot fleet, analyzing data, and much more. Our stack is broad by necessity: we use Rust for many things from robot middleware to back-end services, TypeScript across our web app and internal tools, and NixOS to manage our servers as well as the computers in our robots. As we're deploying more robots and software, we're always running into new challenges. The problems are often not straightforward: poor connectivity on a construction site because of interference, a memory leak that only becomes an issue after hours of runtime, a robot behaving differently than the simulation. This means a lot of creative problem solving is involved. One of our engineers even traced down a problem to a memory leak in Chrome, which got fixed soon after he submitted a bug report. Additionally, because we're scaling our operations, the scope of our software also keeps growing. We're now building internal apps for scheduling robot operators, planning site logistics and maintenance, and improving manufacturing. To make these applications possible, we need well-architected software and reliable software infrastructure. To help us build, improve, and maintain our platform, we're looking for a strong generalist software engineer. Full stack at Monumental is really full stack, from the firmware for our robot's actuators to our in-house document database. You'll get a lot of autonomy and the chance to build software that builds actual robots and houses. You’ll also get the chance to collaborate with other engineering disciplines (e.g. electrical, mechanical) to support new robot features or debug issues. For more on how we think about the role, read Bouke’s post on his experience joining Monumental as a software engineer. What you'll do Shipping features across the full stack from robot firmware and Rust services up through the web UI, touching multiple layers. Hardening production systems by tracking down subtle bugs like memory leaks, network backpressure issues, or race conditions that only show up in real deployments. Owning our infrastructure end-to-end (bare-metal servers, NixOS configs, deploy tooling, …) so that shipping changes to a robot on-site or a service is fast and reliable. Building observability across our entire fleet so when something goes wrong on a robot or a service, the team immediately knows where to look and why. Building tools that multiply the whole team's effectiveness such as debugging tools, data visualization tools, or a platform that allows non-technical people to create their own apps. Improving our data infrastructure, from our in-house typed document database to ClickHouse. What we’re looking for Industry experience building and deploying production systems in multiple languages (Rust experience is valuable but not required) A strong sense of ownership and motivation. You’re able to drive problems and projects start-to-finish without someone project managing you, and can thrive in a chaotic environment. Familiarity with Linux systems and conventions. E.g., you’re comfortable SSH’ing into other machines to figure out why something isn't working. Knowledge of common communication protocols, e.g. UDP, TCP and WebSockets Strong CS or mathematics foundation. Understanding basic linear algebra and 3D transformations is a strong plus. A high percentage of our software team have been a technical founder, CTO, or founding engineer before. If that’s your background, you’ll likely fit in. But we also get excited by people with a demonstrated background of shipping impressive work at any type of company. Why Monumental? Joining Monumental means being at the forefront of a movement aimed at making significant strides in the construction industry. Here, your work has the potential to impact not just the company but the future of how we build. If you're driven by innovation, eager to tackle complex challenges, and ready to make a tangible difference, we want to hear from you.

Flow Traders is strengthening leadership across its Product Development department and is hiring an Engineering Manager in Amsterdam. As the firm scales, the quality of engineering management has become one of the most important factors in how well our teams grow, retain talent, and deliver - and this role exists to raise that bar. Engineering Managers are accountable for the planning and people side of the organisation - project deliveries, growth, performance, culture and hiring - and partner with technical leads who own architecture, technical direction, and hands-on execution. The two work in close partnership; neither succeeds without the other. You will be measured on the engineers you develop and the outcomes your team delivers. You will spend the large majority of your time leading people and managing delivery.   What you will do: Own the roadmap: manage priorities, planning, and sequencing of the work in line with company goals. Develop your engineers: own career planning, promotions, coaching, and structured, continuous performance management. Plan and build the team: lead hiring, headcount planning, and resource allocation in line with the team's roadmap and the firm's priorities. Cultivate a healthy team: actively manage culture, morale, and productivity, and address conflict early and constructively. Lead with rhythm: hold regular one-on-ones, give clear and timely feedback, and invest in team building. Translate technical and business requirements into clear delivery plans, identifying dependencies with other teams and risks up front. Act as the liaison between Engineering, Trading, and Quant teams to design and roll out new products. Drive delivery predictability: track progress against plan, manage risk and scope trade-offs, and report status clearly to stakeholders. Continuously improve delivery processes and team velocity. Ensure alignment: keep your team's work connected to organisational goals and delivery timelines, collaborating closely with Tech Leads and Staff Engineers on technical direction.   What you need to succeed: Strong project management skills: experience building roadmaps, sequencing work, managing dependencies and risk, and driving delivery predictability in a fast-moving environment. A technical background sufficient to earn the respect of the engineers you manage and to engage credibly in technical discussions. Demonstrated experience leading, growing, and managing the performance of software engineers. A track record of delivering software through a team, balancing scope, quality, and timelines. Strong people-leadership skills: coaching, feedback, conflict resolution, and building an environment in which engineers thrive. Sound judgment in hiring and developing talent. Excellent communication with both technical and non-technical stakeholders, including experience managing cross-functional stakeholders (e.g. Trading, Quant). Based in Amsterdam, or willing to relocate.     What we offer At Flow Traders, we create the conditions for hard‑working, high‑performing people to do their best work. From a thorough onboarding and ongoing access to Flow Academy, to latest technology and a collaborative, non‑hierarchical culture, we give you the tools, ownership, and support to move fast and drive outcomes. We keep a close‑knit, small‑company feel while offering competitive salary, annual discretionary profit share, and comprehensive benefits, so talent can grow here, and stay here. See our benefits below: Flow Academy and opportunities to attend domain-related conferences Daily catered lunch, great coffee, and a fully stocked kitchen and snack bar In-house Bar and Lounge with arcade, table tennis, billiards, and game consoles Company boat In-house gym and sessions with our nutritionist or personal trainer Bi-weekly massages Annual company trip and a variety of events throughout the year, such as the New Years Event Global rotations across our offices worldwide and more

Flow Traders is looking for Senior C++ Software Engineers to join our growing team in Amsterdam. Software Engineers at Flow Traders provide us with our competitive edge, equipping Researchers and Traders with the information and capabilities that they need to make sound business decisions. C++ plays a critical role in our event-driven trading systems, which are designed to reliably handle vast amounts of data at ultra-low latencies. As a C++ Engineer, you will build systems used to analyze and trade tens of thousands of products across hundreds of global trading venues every day. Working closely with Technologists, Quantitative Researchers, and Traders, you’ll guide the development of our in-house trading technology and optimize it to achieve market-leading performance and reliability. Our proprietary trading platform includes everything from venue connectivity (feed handlers and ordering gateways) to trading engines to shared platforms that enable us to work quickly and efficiently - we are proud of our open and collaborative culture, so you’ll have plenty of opportunity to find what fits you best. Teamwork is one of our most important firm values, and end users are never more than a short walk away, guaranteeing short feedback loops and immediate insight into the value that your code provides. To foster collaboration and innovation, we maintain shared libraries, encourage code re-use, and continuously evolve our views on application architecture. What you will do: Main technical activities include: For all C++ openings: Lead the development and global rollout of our Core platform used in multiple business/focus groups (Market data, Quantitative research, Pricing, Strategies) Be involved in the development process, which will be a fast-paced iterative process where you deploy your deliverables and validate them yourself and/or together with traders or quants Develop tools/frameworks to deliver capabilities for tuning/develop data-driven systematic pricing and trading strategies Work together with focus group engineers, Quants and Technical traders to refine requirements, collect feedback, and iterate on design and implementation of platform requirements Exchange Connectivity: Write software that communicates with exchanges through their APIs, receiving market data and sending orders over the network in different protocols, such as FIX, Websocket or HTTP requests Ensure quality of software based on a set of testing suites, which you are expected to use, maintain and extend Optimize exchange communication through kernel bypass, optimizing TLS or the connection handling to an exchange Research exchange behavior in detail to align our behavior to that of an exchange Implement these solutions using the provided exchange SDKs in different languages such as C++, Rust, Python, Typescript Trading Strategies: Implement trading algorithms based on requirements provided by traders and quants Acquire and develop the necessary trading knowledge to successfully translate the requirements into actual software implementation Continuously improve the stability, reliability, and performance of the trading engine Enhance monitoring and observability in collaboration with the Trading Operations team Investigate and resolve production issues such as crashes, unexpected business logic behavior, and performance bottlenecks Prepare for releases and deployments of new trading engine versions What you need to succeed BSc, MSc, or PhD in Computer Science, Mathematics or equivalent 5+ years post-graduation professional C++ software development experience (proprietary trading industry preferred)  Ability to write clean, reliable, and highly scalable code Good knowledge of algorithms and data structures Experience in parallel, asynchronous, and multithreaded programming  Interest in achieving maximum performance from available hardware and software  Ability to communicate with technical and non-technical business colleagues What we offer At Flow Traders, we create the conditions for hard‑working, high‑performing people to do their best work. From a thorough onboarding and ongoing access to Flow Academy, to latest technology and a collaborative, non‑hierarchical culture, we give you the tools, ownership, and support to move fast and drive outcomes. We keep a close‑knit, small‑company feel while offering competitive salary, annual discretionary profit share, and comprehensive benefits, so talent can grow here, and stay here. See our benefits below: Flow Academy and opportunities to attend domain-related conferences Daily catered lunch, great coffee, and a fully stocked kitchen and snack bar In-house Bar and Lounge with arcade, table tennis, billiards, and game consoles Company boat In-house gym and sessions with our nutritionist or personal trainer Bi-weekly massages Annual company trip and a variety of events throughout the year, such as the New Years Event Global rotations across our offices worldwide and more   Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders

Databricks is seeking a Lakebase Sales Specialist to help customers modernise their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have:  Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team Lead with outcomes for key Lakebase personas, including platform teams and developers, data teams, and central IT, articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences Run complex sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation What success looks like in this role: This role requires the ability to operate across two key motions simultaneously: Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase Drive longer-term Postgres standardisation and migration within Databricks' most strategic accounts Success in this role requires strength in four areas: Business ownership: Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. Strategic account engagement: Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. Market voice and thought leadership: Develop an internal and external presence, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for: Relevant enterprise sales experience, consistently exceeding quota in complex, multi-stakeholder deals Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners) Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences Bachelor’s degree Preferred qualifications Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions

Databricks is seeking a Lakebase Sales Specialist to help customers modernise their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have:  Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team Lead with outcomes for key Lakebase personas, including platform teams and developers, data teams, and central IT, articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences Run complex sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation What success looks like in this role: This role requires the ability to operate across two key motions simultaneously: Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase Drive longer-term Postgres standardisation and migration within Databricks' most strategic accounts Success in this role requires strength in four areas: Business ownership: Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. Strategic account engagement: Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. Market voice and thought leadership: Develop an internal and external presence, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for: Relevant enterprise sales experience, consistently exceeding quota in complex, multi-stakeholder deals Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners) Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences Bachelor’s degree Preferred qualifications Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.

Hi! I’m Ivan 👋 Director of Platform & Infrastructure here at WeTravel. I joined WeTravel to help build a secure, reliable, and scalable IT environment as we grow. Our team’s mission is to empower every WeTravel employee with the tools and support they need to work efficiently, securely, and without friction — no matter where they are in the world. About WeTravel Think of the most incredible adventures imaginable: trekking to Machu Picchu, cycling through Tuscany, or going on a safari in Kenya. For years, the small businesses and local experts who run these trips have been stuck using messy spreadsheets, countless emails, and complicated payment methods. WeTravel is changing that. We build the tools that empower any entrepreneur to launch and grow their own travel business. Our platform makes it simple for organizers to create beautiful trip proposals, securely process payments, and manage their customers, so they can focus on what they do best: creating amazing experiences. This is one of the last great frontiers of travel to come online, and as the category leader, we are at the forefront of this change. Last year alone, our platform was trusted by 8,000 organizers to lead over a million travelers on adventures in 150+ countries. Now, we’re on an exciting journey to grow from powering $1B to $10B in travel experiences per year. We believe that every trip, when done right, can be a force for good - and we’re building the engine to make more of that possible.   What’s the role As a Senior Software Engineer focused on Developer Experience, you'll help make it fast and easy for WeTravel engineers to build, test, deploy, and operate software. You'll work on the internal platform and tooling used by our product engineering teams: CI/CD, developer environments, service tooling, deployment workflows, observability, and self-service infrastructure. Our goal is to remove unnecessary complexity from everyday development and provide paved roads that let engineers ship confidently without needing to understand every detail of the underlying infrastructure. You'll be part of the Platform team, so this isn't a tooling-only role. You'll also contribute to our AWS and Kubernetes infrastructure, reliability, and operational improvements. But your primary customers are our engineers, and your primary focus will be making their development experience better. What You’ll do day-to-day Developer Experience & Internal Tooling: Build and improve the tools and workflows engineers use every day. Identify friction in the development lifecycle and turn it into practical tooling, automation, and platform improvements. CI/CD & Developer Environments: Make it fast and reliable to build, test, and deploy software. Improve CI/CD pipelines, local development environments, test environments, and the path from writing code to running it in production. Self-Service & Paved Roads: Build reusable workflows, service templates, and platform capabilities that allow product teams to solve common problems without depending on the Platform team. Reduce cognitive load while keeping the underlying systems flexible. Reliability & Observability: Help engineers understand and operate their services in production. Improve observability, incident response, SLIs/SLOs, and the tooling that makes production issues easier to detect, debug, and resolve. Infrastructure & Cloud: Contribute to the AWS, Kubernetes, and Terraform foundations behind our platform. Improve scalability, security, cost efficiency, and multi-region readiness while keeping infrastructure easy for product engineers to consume. How we work We’re focused on the impact. We don’t subscribe to any one framework or execution ideology, and we adapt based on what’s impactful. We’re using the latest hardware and constantly on the look out for better tools & ways to work Stack: We’re using React/ReactNative/TypeScript + Ruby on Rails, Go and Python Microservices on Kubernetes. We also use and love MongoDB, MySQL, Postgres, Snowflake and we’re working with the major LLM providers. You should apply if you have Basic qualifications: 8+ years of software engineering experience, with a strong background in developer tooling, internal platforms, infrastructure, or related platform engineering. 2+ years of hands-on experience in a Developer Experience (DevEx) team, building internal tooling, platforms, and workflows for software engineers. Strong software engineering skills and experience building tools, services, automation, or platforms used by other engineers. Deep experience with CI/CD, containers, Kubernetes, cloud infrastructure, and Infrastructure-as-Code such as Terraform. A track record of identifying developer pain points and turning them into pragmatic tooling, automation, and self-service platform capabilities. Good understanding of production reliability, observability, and incident response. Excellent communication skills and a pragmatic, hands-on mindset with a bias toward action. Preferred qualifications Experience in a consumer facing industry Experience building or operating an Internal Developer Platform, developer portal, service catalog, or similar developer tooling. Experience with security and compliance requirements such as SOC 2 or PCI-DSS. Why join us? Direct impact on a product used by thousands of travel businesses worldwide. Remote-friendly culture with teams across Amsterdam, Baku, and the US. Benefits Competitive salary Generous "Time to Recharge" policy - enjoy unlimited paid time off to rest, recharge, and show up as your best self. Work remotely for a maximum of 4 weeks per calendar year. 2-week cross-functional onboarding program. Cycle-to-work scheme (Swapfiets subscription) or commuting reimbursement. Tuesday team lunches and after-work social events. Beautiful office in central Amsterdam - rooftop garden and right by Rokin metro. Extensive paid family leave. Three paid volunteer days per year - take time to give back to causes you care about, on us. Cutting-edge equipment and tools to set you up for success. Join an international, travel-loving team with a passion for adventure and innovation. Ready to build something meaningful? Apply now.

Versnel de digitale ambities van onze klanten door de kracht van de Public Cloud te benutten. Binnen Deloitte Engineering ontwerp, bouw en beheer je moderne cloudapplicaties én de onderliggende platform­infrastructuur. Bij Deloitte. Benefits Je deelt bij ons mee in de winst, boven op een vast salaris. Altijd blijven groeien met ons development program. Flexibele werktijden en hybride werken, afgestemd op je team en je klantverplichtingen. 26 vakantiedagen per jaar bij een fulltime dienstverband en de mogelijkheid om extra dagen in te kopen. Meer over benefits What's in it for you? Je deelt bij ons mee in de winst, boven op een vast salaris. Altijd blijven groeien met ons development program. Flexibele werktijden en hybride werken, afgestemd op je team en je klantverplichtingen. 26 vakantiedagen per jaar bij een fulltime dienstverband en de mogelijkheid om extra dagen in te kopen. Parttime (32 uur) of fulltime (40 uur) werken. Ruil 3 nationale feestdagen voor 3 niet-nationale feestdagen, als je wilt. Een tijd-voor-tijdregeling. Gebruik de tijd die je op het ene moment meer maakt op momenten die er voor jou toe doen. De mogelijkheid om minimaal 2 maanden op sabbatical te gaan. Een goede mobiliteitsregeling: de keuze uit verschillende opties zoals een leaseauto, reizen met het OV, een cash budget of een combinatie daarvan. Vergoeding om je thuiswerkplek op een ergonomisch verantwoorde manier in te richten én een internetvergoeding. De mogelijkheid om gebruik te maken van 55 uur oppasdienst per kalenderjaar, als jouw kind 12 jaar of jonger is. Een laptop en iPhone. De iPhone mag je ook privé gebruiken. Een pensioenregeling waarbij je eigen bijdrage slechts 2% is. Mogelijkheid om deel te nemen aan de collectieve zorgkostenregeling. Fiscaal voordelige regelingen, zoals bedrijfsfitness, het aanschaffen van een fiets tegen bruto salaris of de mogelijkheid om een fiets te leasen. Een maandelijks budget waarmee je keuzes kunt maken in flexibele arbeidsvoorwaarden, zoals extra vakantiedagen of het financieren van een fietsplan. Zes weken volledig betaald geboorteverlof voor traditionele huishoudens en regenbooggezinnen. Be the true you Natuurlijk ​weet je anderen te inspireren​ en ​communiceer je effectief complexe ideeën en analyses​. Bovenal durf je jezelf te zijn. De ware jij. Met je eigen sterke punten, blik op de wereld en persoonlijkheid. Verder heb jij als Junior Software Engineer (Cloud):  een afgeronde technische wo-master (bijv. Computer Science, Information Science, Software Engineering) óf wo-bachelor met minimaal twee jaar relevante werkervaring;  vaardigheid in ten minste één programmeertaal; ervaring met een groot cloudplatform (AWS, Azure of GCP) is een pré;  bekendheid met DevOps-praktijken zoals het schrijven van unit tests en het werken met CI/CD-pijplijnen;  sterke communicatieve vaardigheden; een uitstekende kennis van de Engelse taal, in woord en geschrift (en bij voorkeur Nederlands).  What impact will you make? Heb jij een passie voor het ontwikkelen van oplossingen met Cloud technologie? Wil je de toekomst van onze klanten helpen vormgeven en versnellen? Kom dan bij het Deloitte Engineering, AI & Data team.  Als Junior Software Engineer bij Deloitte zet je klantambities om in productieklare systemen op AWS, Azure en GCP voor zowel de publieke als de private sector. Je schrijft duidelijke, onderhoudbare applicatiecode die bestand is tegen echte productiebelasting. Je richt omgevingen in met Infrastructure as Code en bouwt CI/CD-pijplijnen die deployments veilig, betrouwbaar en herhaalbaar maken. Elk project biedt nieuwe uitdagingen, stacks en patronen - een directe kans om te groeien en je horizon te verbreden. Together makes progress Connect your future to Deloitte How do you do this?   vertaal klantbehoeften naar schaalbare en veilige cloudarchitecturen op AWS, Azure of GCP ontwerp, bouw en test cloud-native applicaties met Spring Boot, .NET, Go, Java, Python, JavaScript, React ontwerp, bouw en automatiseer cloudplatforminfrastructuur (IaC) met Terraform, Bicep of CloudFormation werk samen met data-, security- en UX-specialisten om end-to-end oplossingen te leveren bepaal je eigen loopbaan: kies je specialisme, draag bij aan kennisdeling en initieer interne engineering-initiatieven om onze engineeringcultuur vorm te geven. Je komt terecht bij Deloitte’s Engineering, AI & Data (EAI&D)team, waar je samenwerkt met multinationale teams en Deloitte Delivery Centers. Dit wereldwijde netwerk zet je in op projecten met grote impact, verspreid over diverse sectoren en dienstverleningstrajecten voor onze klanten wereldwijd.

Syntho is a data technology organization with a strong expertise in synthetic data, headquartered in Amsterdam, Netherlands. It was founded in 2020 with the goal of solving the global privacy dilemma and enable the open data economy, where data can be used and shared freely and privacy guaranteed. We offer privacy-preserving synthetic data to unlock your data and take away legitimate privacy concerns. As a startup, Syntho has ambitious plans in the upcoming years and is growing really fast. Want to grow your career and be at the forefront of data-driven innovation? Then we’re looking for you! Role Description We are looking for a Senior Software Engineer to join our team and help improve our rapidly growing application. You will work across all layers of our technology stack, solving complex challenges related to distributed computing, performance optimization, and software maintainability. Your contributions will directly impact the scalability, reliability, and efficiency of our platform. What’s in it for you Opportunity to work on a cutting-edge distributed computing platform. Solve real-world challenges related to performance, scalability, and maintainability. Working with a young & ambitious team that values software engineering best practices. Work with state-of-the-art technologies and become front-runner with the latest (AI) developments. Doing good – contribute in solving one of the key global challenges: the data / privacy dilemma. Regular team outings and Friday company catch-ups and drinks. An awesome startup culture of responsibility and freedom to turn your ambition into reality. Job requirements Key Responsibilities Design, develop, and optimize both frontend and backend components, ensuring clean, maintainable, and efficient code. Capable of developing production-ready features from front to back Address technical debt, refactor inefficient code, and resolve memory overflow issues. Implement software engineering best practices (SOLID, DRY, Clean Code, Design Patterns, etc.). Write and maintain unit and integration tests for all application layers. Improve system observability, monitoring, and debugging tools. Collaborate with other engineers and stakeholders to define best practices and architectural improvements Our technology stack consists of: Ray.io, FastAPI, Celery/Redis, Alembic, Django (being discontinued), and NextJs, the person for this position should be capable of engineering solutions using this technology stack with least friction, or in similar ones.