Does Mimica Lab Ltd. sponsor visas?

Mimica is an AI-powered process intelligence platform enabling enterprises and individuals to reclaim their most precious resource: time. We've all seen repetitive tasks and redundant processes quietly drain productivity and creativity. Not because companies don’t want to become more efficient, but because they don’t know where to start. Mimica automatically analyzes your team’s work, then generates the AI agents to execute it. Our software turns everyday work into data-backed decisions, helping companies remove process bottlenecks, automate the right tasks, and upskill teams with precision and confidence. We’ve raised $26 million in Series B financing and are scaling fast. Backed by investors including Khosla Ventures and Paladin Capital, our proprietary AI technology is trusted by Fortune 500 companies to accelerate transformation. Mimica is recognized as a Top 100 AI Start-up by Accel and an industry Leader by the Everest Group. Our team Behind our platform is a team of exceptionally talented people, remote-first and globally distributed across 16+ countries. We're looking for curious, collaborative people excited to solve complex problems. You'll join a fast-paced environment built on high ownership, bottom-up thinking, and transparent, open communication – helping some of the world's leading organizations transform the way work gets done with AI. Your mission Mimica is growing fast, and so is the demand on our Platform Team. As a DevOps / Platform Engineer, you will join a lean but highly capable team that is the backbone of every engineering squad in the company. We service the entire engineering organisation: keeping environments healthy, unblocking teams, and building the infrastructure that lets everyone else move faster. We’re looking to increase our capacity as demand for our services is growing fast. On top of the day-to-day demand from other teams, we are taking on some of our most ambitious infrastructure projects yet: expanding to multi-region and single-tenancy environments, supporting BYOC (Bring Your Own Cloud) deployments, migrating our IaC from Terraform to Crossplane, and getting serious about FinOps. This means the work is varied: one day you are debugging an RBAC issue in production, the next you are designing a multi-cloud access pattern from scratch. We are looking for engineers with either an application development or a systems/infrastructure background. What matters more than your origin story is your hands-on comfort with Kubernetes, IaC, and cloud platforms, your curiosity, and your ability to collaborate closely with other engineering teams. If you want to work in a place where your contributions are visible, your scope is broad, and the problems are real, this is the role for you. ​ Part of your day-to-day Support engineering teams across Mimica in developing mature, resilient applications running on GKE, advising on best practices and unblocking issues quickly. Develop and maintain infrastructure-as-code using Terraform and ArgoCD, as well as Mimica-specific Platform applications written in Python. Manage and maintain GKE environments across multiple regions (EKS experience is also acceptable), including IAM and identity management on GCP (AWS acceptable). Investigate and triage issues in existing applications, observe database and system component health, and implement changes to support the SDLC of other teams. Participate in a scheduled on-call rotation to monitor system health, respond to incidents, and ensure high platform availability. Contribute to migrating our IaC layer from Terraform to Crossplane and support expansion into multi-region clusters and single-tenancy environments. Drive FinOps initiatives, helping us get visibility into and control over cloud spend across multiple accounts and environments. Help design and implement access patterns for new BYOC and single-tenancy environments, making it seamless for engineers to navigate an increasingly complex multi-environment landscape. Instrument, monitor, and improve observability across our stack using tools such as Honeycomb and Grafana.   Requirements / What we're looking for Solid hands-on experience with Kubernetes, whether on GKE (preferred), EKS, OnPrem, or another managed Kubernetes service. You know your way around cluster configuration, scheduling, RBAC, and debugging live issues. Proven experience with Terraform as your primary IaC tool. Familiarity with Terragrunt is a plus. IAM and identity management experience on at least one major hyperscaler: GCP (preferred) or AWS. Experience with ArgoCD or a comparable GitOps tool for continuous delivery. Observability experience with at least one major platform: Honeycomb, Datadog, Grafana, or New Relic. You know how to set up meaningful dashboards, alerts, and traces. Comfortable writing code, particularly Python, to automate platform tasks and build internal tooling. Background in startups or scale-ups: you are used to ambiguity, moving fast, and wearing multiple hats. Strong communication and collaboration skills: You can translate infrastructure complexity into clear language for application engineers, and you know when to raise a flag versus just fixing it. Experience leading and participating in incident responses. You systematically decompose problems and know how to get to the root cause without panicking.   Bonus / Nice to have Experience running GPU workloads on Kubernetes, particularly in the context of ML infrastructure. Familiarity with Crossplane (or strong interest in migrating to it from Terraform). Experience with Temporal for workflow orchestration. Hands-on knowledge of Grafana Alloy, Loki, or similar observability tooling in the Grafana ecosystem. Experience with MongoDB, PostgreSQL, or SQL Server. Security engineering experience, particularly around hardening Kubernetes environments or supporting compliance initiatives (e.g. SOC 2).

Mimica is an AI-powered process intelligence platform enabling enterprises and individuals to reclaim their most precious resource: time. We've all seen repetitive tasks and redundant processes quietly drain productivity and creativity. Not because companies don’t want to become more efficient, but because they don’t know where to start. Mimica automatically analyzes your team’s work, then generates the AI agents to execute it. Our software turns everyday work into data-backed decisions, helping companies remove process bottlenecks, automate the right tasks, and upskill teams with precision and confidence. We’ve raised $26 million in Series B financing and are scaling fast. Backed by investors including Khosla Ventures and Paladin Capital, our proprietary AI technology is trusted by Fortune 500 companies to accelerate transformation. Mimica is recognized as a Top 100 AI Start-up by Accel and an industry Leader by the Everest Group. Our team Behind our platform is a team of exceptionally talented people, remote-first and globally distributed across 16+ countries. We're looking for curious, collaborative people excited to solve complex problems. You'll join a fast-paced environment built on high ownership, bottom-up thinking, and transparent, open communication – helping some of the world's leading organizations transform the way work gets done with AI. Where we are in our scale-up journey We’ve achieved strong product-market fit and are now scaling with intention. You’ll join a 60-person team of Senior+ engineers and Product leaders who prioritise product impact over mere headcount. We have 8 cross-functional teams, including a dedicated Platform team focused on infra & developer experience. We started building proprietary ML before the LLM boom, so we don't just consume models - we train them from the ground up. Our approach to engineering We prioritize customer needs first  We work in small, cross-functional, feature-oriented teams We have flexibility in terms of the problems we work on We own the full lifecycle of our projects We avoid silos and encourage taking up tasks in new areas We balance quality and velocity We have a shared responsibility for our production code We each set our own routine to maximize our productivity Your mission You will join our Mapper Team, whose goal is to produce and service the Process Maps that are at the core of Mimica's product. We found good product-market fit, which means two things: building new features and making architectural decisions that will enable exponential growth in usage. You will take ownership of projects end-to-end, build new features, release improvements to existing components, and take operational responsibility for what you build. We have a bottom-up culture where Engineers identify pain points, experiment with and iterate on their solutions, and leverage tight feedback loops. As such, you‘ll have the opportunity to shape the technical direction, processes and culture of the Engineering org, Chapter and Team. Part of your day-to-day Developing data-visualisation applications and new features around displaying significant large data properties (e.g., insights regarding processes, workflows and metrics) in effective ways, with scalability & reliability in mind. Building interfaces and real-time frontend services that enable multiple users to edit graph data and re-train AI models through their input. Owning projects end-to-end as part of small teams, collaborating with our TLs and Product Managers. Participating in architectural decisions, collaborating across teams to identify and implement product improvements and producing documentation for your implementations. Participate in and improve the Team's and Chapter's internal processes and rituals so that we're more effective. Providing feedback to peers through RFCs, code reviews and helping those around you to level up. Participating in hiring and onboarding new team members. Who you are You have at least 8+ years of experience as a Software Engineer and high engineering standards. Strong experience and understanding of React, state management, front-end architecture & concepts. Deep understanding of Front-end performance optimisation techniques. Knowledge of advanced system design principles, data structures, and the core concepts underlying data-intensive applications. Minimum knowledge of Backend Engineering (eg. being able to add API endpoints, change logic) Committed to upholding high engineering standards, delivering clean, testable, reusable, modular, and well-documented code. Experience owning projects from start to finish, including speccing, design, development, testing, deployment, release and observability. Drive to develop your skills, improve team processes and reduce debt. Fluency in English, with effective communication skills – articulating complex ideas, concepts and trade-offs clearly. Bonus Background working in fast-paced, successful scale-up environments or as a founding engineer, with a track record of delivering value quickly and iteratively alongside building processes. Graph or Canvas-based Rendering, or graph/geometry editing. (FE-focused).