5 of 5 Contract Google Kubernetes Engine Jobs in London

IR35) Duration: 6 months (Starting 01st Oct) Job Summary: Join Tata Consultancy Services (TCS) as a Senior GCP Cloud Infra Engineer and play a pivotal role in enabling seamless Google Cloud adoption for leading clients within the BFSI sector. You will work on challenging, innovative projects, helping organizations make their cloud journeys secure, reliable, and autonomous while benefiting from … Terraform Cloud . Curate and deliver scalable GCP Cloud Products and Infrastructure as code. Build automated workflows using Python scripting . Proficient in Google Kubernetes Engine (GKE), Container, Istio Service Mesh, Cluster Management . Audit and restructure existing Terraform modules and state files. Migrate legacy configurations into unified, reusable templates. Implement security-focused Terraform modules with embedded … integration. Skills, Experience, and Abilities Required: Essential: GCP Cloud Engineering, GCP DevOps & Infra Terraform/Terraform Cloud (IaC) Python Scripting Experience with Harness, Jenkins, GitHub Google Kubernetes (GKE), Container, Istio Service Mesh GCP Organisation Policy, Custom Org Policy (Policy as Code) Sentinel/OPA GCP and Terraform Certified Good to have: experience working in an IDE Platform for More ❯

experience in designing and executing large-scale cloud migration projects. Deep expertise in Google Cloud Platform, with extensive hands-on experience in Google Kubernetes Engine (GKE). Experience with containerization technologies, CI/CD pipelines, and Infrastructure as Code (IaC) tools like Terraform. Strong understanding of network architecture, security best practices, and FinOps principles in a … cloud context. Implementing and managing GKE security features such as Workload Identity, Pod Security Policies (or the newer Pod Security Admission controller), and GKE Sandbox. Establishing robust IAM policies for GKE and related GCP services. More ❯

reliability and efficiency. Asynchronous Programming: Implement and manage asynchronous workflows and concurrent processes. Containerization: Utilize Docker to containerize applications for deployment. Cloud Deployment & Operations: Deploy and troubleshoot applications on Google Cloud Platform (GCP). Candidates must be able to diagnose production issues within cloud environments (e.g., Cloud Run, GCS, BigQuery). Infrastructure as Code: Develop and manage cloud infrastructure … in that environment. Database Skills: High proficiency in SQL . Nice-to-Have Skills Direct production experience with FastAPI . Experience with Google Cloud Run and Kubernetes (GKE) . Familiarity with GCP data tools like BigQuery and Google Cloud Storage (GCS) . Experience building complex agentic AI applications (beyond basic RAG or LangChain implementations). How We More ❯

heavy experience in at least one or more of: Docker, Kubernetes, Rancher Working experience with GCP cloud infrastructure/services Experience with infrastructure-as-code: Terraform Experience with GKE, Helm, and Harness Experience with Linux System Administration Understanding of high-availability, disaster-recovery, monitoring and logging at scale Deep hands-on Java (plus Spring framework). Nice to have … Python and Node.js Skills and Experience Consulting experience, preferably with major IT consulting Docker (DCA) or Kubernetes (CKAD) certification a plus Highly articulate with good communication skills across diverse groups, including stakeholders, engineers, business analysts, and teams Initiative to identify value work and execute delivery Demonstrated leadership through influencing stakeholders and up-skilling engineers Commercial awareness using pragmatic approach More ❯

in code review processes. Collaborating with frontend engineers to define interfaces and deliver product features. Working with DevOps/Platform teams on CI/CD, containerisation and deployment (Docker, Kubernetes or managed alternatives). Troubleshooting production issues and improving observability (logging, metrics, tracing). Contributing to technical design discussions and driving improvements to reliability and performance. Tech Stack & Skills … development practices and experience with pytest or equivalent. Experience working with RESTful APIs and/or GraphQL. Familiarity with containerisation and cloud deployment (Docker, Kubernetes/EKS/GKE or equivalent). Version control with Git and experience of CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.). Nice to have: Experience with async frameworks (FastAPI, Celery More ❯