14 of 14 Contract Google Kubernetes Engine Jobs

for leading the strategic planning, technical execution, and post-migration optimization of containerized workloads to Google Cloud Platform, specifically leveraging services like Google Kubernetes Engine (GKE). This role requires deep expertise in cloud-native technologies, migration methodologies, and operational best practices to ensure a seamless and efficient transition for business-critical applications. Key responsibilities 1. … Artifact Registry, Harness, and Terraform Cloud. Design and automate network connectivity and namespace vending to support the new cloud environment. 3. Execution Lead the building and configuration of new GKE clusters in alignment with approved architectural patterns. Provide hands-on support for workload migration, working closely with business CIOs and development teams. Implement progressive rollout strategies, such as blue/… risk during the transition. Oversee the decommissioning of legacy clusters and infrastructure after successful migration. 4. Support and enablement Develop and deliver developer onboarding and training programs on new GKE environments and cloud-native tools. Create comprehensive documentation and facilitate operational handovers to ensure successful long-term management. Skills Required: Proven experience in designing and executing large-scale cloud migration More ❯

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 ❯

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 ❯

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 ❯

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 ❯

with a global technology provider. This multi-year initiative is driving the evolution of secure, scalable cloud infrastructure across several £100m+ workstreams. Were seeking a Platform Engineer with deep Kubernetes expertise to help design, deploy, and optimise containerised workloads on Google Cloud Platform (GCP). Youll be joining a collaborative engineering environment where automation, resilience, and speed of … delivery are key. The Role Youll take ownership for building and maintaining highly available Kubernetes clusters to support mission-critical applications. Working closely with architects and developers, youll optimise cluster configuration, implement advanced security controls, and streamline CI/CD processes. Your remit will cover everything from designing Helm … charts and managing service meshes to ensuring compliant, reproducible deployments in line with strict Defence standards. Key Skills & Experience Active DV clearance (essential) Hands-on expertise with Kubernetes (GKE preferred) cluster design, scaling, RBAC, and security policy management Strong working knowledge of GCP services, infrastructure-as-code, and container orchestration Proficiency with CI/CD pipelines and DevOps tooling More ❯

environments with a focus on security and compliance. Desirable Experience Solid understanding of cloud infrastructure fundamentals: Compute Engine, Cloud Networking Experience with container orchestration, Kubernetes, Istio and GKE in particular. Knowledge of cloud-native storage: GCS, S3 and filer solutions. Exposure to data services: Cloud SQL, managed databases, MongoDB. Messaging systems: Kafka, RabbitMQ and EMS; API gateways like 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 ❯

SAST, DAST, SCA) and data validation gates. AI/ML Infrastructure Security: Harden and secure the underlying cloud infrastructure for AI/ML workloads, including GPU clusters, container orchestration (Kubernetes), and managed services (e.g., AWS SageMaker, Azure ML). Security by Design: Embed security controls into every stage of the ML lifecycle (data ingestion, feature store, model training, deployment … or GCP), including their AI/ML and security services. Proficiency in Infrastructure-as-Code (Terraform is highly preferred). Strong hands-on experience with Kubernetes (EKS, AKS, GKE) and container security (Docker). Security Fundamentals: Deep understanding of cloud security principles (Zero Trust, Least Privilege), IAM, network security, and encryption (at-rest and in-transit). Practical experience … industry regulations and standards (e.g., GDPR, PCI-DSS, SWIFT CSCF) and their technical implications. Qualifications & Experience (Preferred) Relevant security certifications (e.g., CISSP, CCSP, AWS/Azure Security Specialist). Kubernetes security certifications (e.g., CKS - Certified Kubernetes Security Specialist). Experience with security tools specifically for ML (e.g., IBM Adversarial Robustness Toolbox, Microsoft Counterfit). Knowledge of Model Risk More ❯

/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. … and monitoring. Architect secure ML/AI systems on Azure, AWS, or GCP . Deploy containerized web apps and ML services using Docker, Kubernetes (AKS/EKS/GKE), Azure Container Apps, ECS , integrated with CI/CD (GitHub Actions, Azure DevOps, Jenkins). Mentor engineers, enforce best practices, and lead design/architecture reviews. Required Skills & Experience: 5+ …/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker, Kubernetes, Helm, Terraform, IaC for deploying ML and web apps. More ❯

/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. … and monitoring. Architect secure ML/AI systems on Azure, AWS, or GCP . Deploy containerized web apps and ML services using Docker, Kubernetes (AKS/EKS/GKE), Azure Container Apps, ECS , integrated with CI/CD (GitHub Actions, Azure DevOps, Jenkins). Mentor engineers, enforce best practices, and lead design/architecture reviews. Required Skills & Experience: 5+ …/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker, Kubernetes, Helm, Terraform, IaC for deploying ML and web apps. 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 ❯