Does NTT Data Business Solutions Limited sponsor visas?

We are looking for a Google Cloud Platform Technical Architect to join our team as part of our ever-growing Cloud and Security Practice. Cloud services are core to our clients’ journeys toward digital transformation, and increasingly play a critical role in enabling AI, and generative AI capabilities at enterprise scale. In this area, we combine architecture, engineering, automation, and emerging technology expertise to help make our customers’ transformation needs a reality. What you'll be doing: The Google Cloud Platform Technical Architect is a customer-facing domain expert who applies broad technical skills to design and deliver modern cloud platforms, from cloud foundations and modern provisioning to migration and modernisation strategies, as well as cloud-native, data-driven, and AI-enabled solutions that meet business needs by applying the most appropriate cloud deployment models and Google Cloud services for each case.   You will have the opportunity to lead technical discussions with clients and apply your knowledge to design the best solutions for them. This role requires exceptional communication skills with both technical and non-technical audiences, using Google Cloud services to solve our clients’ business and technology challenges as part of your day-to-day work. You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI-assisted operations, and responsible AI practices.   The Cloud Architect is a subject matter expert in one or more categories that may include strategy and transformation, cloud-native solutions, migration and modernization, cloud foundations and infrastructure, FinOps, cloud DevOps, automation, security, data platforms, application modernisation, AI-ready platforms, and generative AI solution architecture.   This is an excellent opportunity for an experienced Cloud Architect with demonstrable skills in designing new cloud solutions and leading technical discussions with clients. A keen interest in Infrastructure as Code, DevOps tools, culture, methodology, automation, and the practical application of AI across cloud platforms is essential for this role.   You will play a key role in delivering cloud projects and helping our clients in their journey to Google Cloud. You should be motivated to help deliver highly available cloud solutions, contribute to technical definitions, assessments, workshops, and cloud migration implementations, and continuously look for opportunities to automate processes, remediate technical debt, improve operational efficiency, and identify areas where AI and automation can accelerate business outcomes.   We offer a highly innovative environment with the opportunity to work across different sectors, including financial services, public sector, insurance, telco and media. You will work closely with a team of highly skilled engineers and cloud architects, contributing to internal innovation projects as well as client delivery. Come and join a dynamic, motivating, and challenging environment, working with the latest technologies and solving complex business challenges using cloud, automation, and AI-enabled solutions. What experience you'll bring: Extensive experience designing and architecting solutions on Google Cloud Platform across IaaS, PaaS, and SaaS environments. Proven experience defining enterprise-scale migrations to Google Cloud, with a strong understanding of migration strategies including rehost, replatform, refactor, repurchase, retire, retain, and relocate. Broad hands-on knowledge of core Google Cloud services across compute, containers, storage, databases, networking, security, observability, DevOps, and cost management. In-depth experience designing Google Cloud landing zones and cloud foundations, including resource hierarchy, projects, billing, IAM, shared VPC, hub-and-spoke networking, service perimeters, guardrails, logging, monitoring, governance, and security controls. Experience architecting secure, scalable, and highly available cloud environments, including integration between on-premises infrastructure and Google Cloud. Strong experience with containerised solutions, Kubernetes production platforms, microservices, and ideally Google Kubernetes Engine. Experience deploying infrastructure using automation and Infrastructure as Code, particularly Terraform. Experience designing AI-ready cloud and data platforms that support ingestion, storage, governance, analytics, model deployment, monitoring, and integration with enterprise applications. Understanding of generative AI solution patterns, such as retrieval-augmented generation, enterprise search, intelligent assistants, document processing, content generation, and AI-enabled workflow automation. Awareness of AI governance, responsible AI, data privacy, security, model risk, auditability, and compliance considerations for AI-enabled cloud solutions. Strong analytical and technical skills, with the ability to learn new tools, services, and methodologies as the market evolves. Ability to identify opportunities to use automation, AI-assisted engineering, AIOps, and cloud-native tooling to improve reliability, observability, delivery speed, and operational efficiency. Excellent English verbal and written communication skills, with the ability to engage effectively with both technical and non-technical stakeholders. Ability to work well under pressure, respond quickly to client needs, and adapt to changing requirements. Good to have: Pre-sales or commercial experience. Previous experience with on-premises infrastructure management. Comfortable with Continuous Integration and Continuous Deployment concepts and common approaches using tools such as Jenkins, Git, Azure DevOps, GitHub Actions, GitLab CI/CD, Cloud Build, or Cloud Deploy. Experience with Anthos, Apigee, Cloud Composer, Dataflow, Pub/Sub, Looker, Vertex AI, Model Garden, Document AI, Gemini, or other Google Cloud data, analytics, API management, AI, or generative AI services. Experience designing retrieval-augmented generation architectures using vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns. Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines. Experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI-assisted cloud operations. Experience with cloud security, compliance, and governance frameworks, including considerations specific to AI-enabled workloads. Google Cloud certifications, such as Professional Cloud Architect, Professional Cloud DevOps Engineer, Professional Cloud Security Engineer, Professional Cloud Network Engineer, Professional Data Engineer, Professional Machine Learning Engineer, or Associate Cloud Engineer. Who we are: At NTT DATA, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D. Make this the place where you belong, learn, and build your network. Make this the place where you grow.

We are seeking an experienced Site Reliability Engineer (SRE) / Observability Technical Lead to join our team and drive the strategy and execution of observability and reliability projects across our clients. The ideal candidate will have deep expertise in Application Performance Monitoring (APM), Infrastructure as Code (IaC), automation, and distributed tracing using OpenTelemetry. As a lead, you will guide the design, implementation, and continuous improvement of observability solutions, ensuring system reliability, performance, and scalability while fostering best practices in SRE and DevOps. What you'll be doing: Lead the strategic development and management of observability and reliability frameworks across the organization, ensuring alignment with business goals and technical requirements. Design and implementation of monitoring and observability solutions, collaborating with engineering teams to define standards and best practices. Manage Infrastructure as Code (IaC) initiatives using Terraform, coordinating with cloud and infrastructure teams to ensure scalable and secure deployments. Drive automation strategies for monitoring, alerting, and logging pipelines, focusing on process improvements and operational efficiency. Develop and maintain comprehensive observability roadmaps, including distributed tracing, logging, and metrics collection strategies. Collaborate with product management, sales, and pre-sales teams to provide technical expertise and support during solution design and customer engagements. Lead cross-functional teams to enhance CI/CD pipelines and deployment reliability, ensuring smooth integration of observability tools and practices. Engage with vendors and strategic partners to evaluate, select, and integrate observability and monitoring solutions, ensuring alignment with organizational needs and fostering strong collaborative relationships. Mentor and develop junior engineers and analysts, fostering a culture of reliability, observability, and operational excellence. What experience you'll bring: 5+ years of experience in SRE, Observability, or DevOps roles, with leadership responsibilities. Proven expertise with Application Performance Monitoring (APM) tools such as New Relic, Datadog, AppDynamics, or Dynatrace. Hands-on experience with OpenTelemetry (OTel) for distributed tracing and observability instrumentation. Strong proficiency in Infrastructure as Code (IaC) using Terraform. Solid understanding of cloud platforms including AWS, GCP, or Azure. Experience with automation/configuration management tools like Ansible, Chef, or Puppet. Deep knowledge of CI/CD pipelines and tools such as GitHub Actions, Jenkins, or Azure DevOps. Experience managing Kubernetes and containerized environments (Docker, Helm). Familiarity with log aggregation and analysis platforms like ELK Stack or Splunk. Excellent leadership, communication, and collaboration skills. Who we are: We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network. For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA what we'll offer you: We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options. You can find more information about NTT DATA UK & Ireland here: https://uk.nttdata.com/ We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team. Back to search Email to a friend Apply now Location Epworth House, London “Upon joining the NTT DATA UK family, you will experience a culturally diverse organisation living our values of Clients First, Teamwork and Foresight as we partner with our customers every day. At NTT DATA UK, we are proud to support and invest in our people. We offer a variety of rewarding career paths and opportunities to develop professionally - with access to cutting edge innovation.