1 to 25 of 38 Google Kubernetes Engine Jobs in the UK

Routers Firewalls Cloud NAT Google DNS IAM VPC Service Controls (VPC SC) Connected Workloads (Working Knowledge Required) Google Kubernetes Engine (GKE) Compute Engine Cloud SQL Cloud Storage Buckets Google Data/AI products DevOps & Automation Strong experience with Infrastructure as Code Terraform/Terraform ...

looking for a hands-on Platform/DevOps Engineer with deep experience running production workloads on Google Kubernetes Engine (GKE). This role is for someone who enjoys building, automating, and operating cloud-native platforms - not just designing them. You’ll own Kubernetes infrastructure … provisioning, CI/CD, deployments, service mesh, and day-to-day operations in a modern GCP environment. Responsibilities: Design, build, and operate GKE clusters in production environments Automate cloud infrastructure on GCP using Terraform Build and maintain CI/CD pipelines for Kubernetes-based deployments Implement and manage Istio ...

monitoring, and logging to ensure performance and compliance Enforce GCP Organization Policies and API governance standards Collaborate with DevOps teams on containerised deployments using GKE Optimise API performance through caching, quota management, and traffic routing Support migration of legacy APIs into standardised, reusable Apigee templates Skills & Experience Strong hands … pipelines and DevOps practices Proficiency in Python scripting for automation Experience with Jenkins, GitHub, or Harness Knowledge of Google Kubernetes Engine (GKE) Strong understanding of API security standards and policy-as-code (OPA/Sentinel) GCP Certification (preferably Apigee Certified API Engineer) Package Basic Salary ...

Strong exposure to CI/CD pipelines and Agile/Scrum delivery Experience with incident, problem, and change management processes Expertise in Docker and Kubernetes Experience with automation tools such as Chef or similar GCP-Specific Track (Desirable) Experience creating Deployment Manager templates or Terraform modules for GCP Knowledge … Registry, Cloud Deploy Understanding of GCP networking: VPC, Firewall Rules, Load Balancing Experience using Cloud Logging, Cloud Monitoring, and Security Command Centre Knowledge of GKE (Google Kubernetes Engine) and container orchestration in GCP Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment ...

across enterprise environments. This is a senior, hands-on engineering role focused on modernising API gateways, automating deployments and enabling cloud-native integration across Google Cloud. The Senior GCP Apigee Engineer role is suited to an experienced Apigee specialist who combines deep API management expertise with strong DevOps capability … logging to ensure performance and compliance Enforce governance standards and organisation policies across API ecosystems Collaborate with DevOps teams to deploy containerised components within GKE environments Optimise API performance using caching, quota management and intelligent traffic routing Support migration of legacy APIs into modernised Apigee frameworks Standardise reusable templates ...

Mandatory skills- Java Microservices with GCP Google Kubernetes Engine AI knowledge preferred ...

Mandatory skills- Java Microservices with GCP Google Kubernetes Engine AI knowledge preferred ...

Role Overview We are seeking a Google Cloud Engineering Team Lead to join the Accenture Google Business Group (AGBG) within Accenture Technology in the UK, with a strong focus on UK public sector clients. In this role, you will lead small engineering teams to design, build and operate … Google Cloud Professional-level certification Strong expertise across Google Cloud services such as Compute Engine, App Engine, Cloud Storage and GKE Hands-on experience implementing foundational cloud platforms including landing zones, IAM, VPC and networking, or data platforms such as pipelines, storage and databases Strong communication ...

Building and maintaining CI/CD pipelines to enable fast, reliable releases Deploying and integrating Vertex AI components for ML/AI solutions Managing GKE (Kubernetes) clusters in production environments Supporting BigQuery, Cloud Build, Harness , and related cloud services Automating operational tasks to remove toil and improve reliability Implementing … DevOps (or similar) Solid coding/scripting skills in Python, Groovy, Bash, or PowerShell Proven experience with Vertex AI integration and deployment Experience with GKE, BigQuery, Cloud Build, Harness Strong understanding of cloud security and networking concepts Experience developing for or administering Kubernetes clusters in production Passion for automation ...

seeking a Google Cloud Technical Architecture Associate Manager to join the Accenture Google Business Group (AGBG) within Accenture Technology in the UK, with a strong focus on UK public sector clients. In this role, you will lead the technical architecture and delivery of secure, scalable Google Cloud … Google Cloud Professional-level certification Strong expertise across Google Cloud services such as Compute Engine, App Engine, Cloud Storage and GKE Experience architecting and engineering cloud-based solutions to meet business outcomes and non-functional requirements Hands-on experience producing technical documentation including architecture diagrams, design ...

Senior Google Cloud Consultant £80,000-£100,000 + London Hybrid + Excellent Benefits +Bonus London Hybrid | Technology Consultancy | Permanent A growing consultancy is expanding its cloud, data and AI capability and is looking for a commercially aware, client-facing Senior Google Cloud Consultant. You'll work across … Cloud Platform Deep expertise in Cloud Infrastructure, Data Engineering, or AI/ML Hands-on experience with services such as Compute Engine, GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Storage, Vertex AI Proven ability to produce architectural documentation and migration strategies Strong stakeholder engagement and consulting capability ...

pipelines, and enabling engineering teams to deploy safely and confidently. This role offers the opportunity to work with cutting-edge technologies, including GCP, Kubernetes, Terraform/OpenTofu, and modern CI/CD pipelines, while helping define best practices for a regulated, high-impact platform. What You’ll Do: Infrastructure … minimize downtime and risk. What You Bring: Strong experience designing, managing, and securing high-availability cloud infrastructure (GCP preferred). Expertise with Kubernetes (GKE), container runtime security, and cluster hardening. Solid skills in Infrastructure as Code (Terraform/OpenTofu) and CI/CD pipelines (GitLab CI, GitHub Actions). ...

Description: Mandatory Skills: GCP Network GCP Network JD: Must have- Key points to check in the resource Google networking Products, Terraform and Git hub Google Network - Cloud Router, DNS, HA VPN, Dedicated Interconnect, IP Address Management, Private Service Connect, Private Service Access, Google Load Balancer, Service Directory. … knowledge (including Dedicated Interconnect, VPC network peering, Cloud Routers, Firewalls, Google DNS, Cloud NAT, IAM and VPC SC), basic knowledge of connected workloads (GKE, Compute Engine, Cloud SQL, Storage buckets, Google Data AI products, etc.) and corresponding ancillary function such as Identity. Hands on participation in projects ...

large-scale cloud solutions for complex organisations. As a Cloud DevOps Engineer, you will help clients build, operate, and optimise secure, scalable platforms on Google Cloud. This is a hands-on, technical leadership role where youll set direction, define standards, and ensure high-quality delivery. Youll work closely with … delivering production-ready solutions on Google Cloud. Candidates will ideally have: Hands-on experience with GCP services such as Cloud Functions, Cloud Run, GKE, Compute Engine, VPCs, Cloud Spanner, Cloud SQL, and BigQuery Strong knowledge of microservices, event-driven architectures, and API design Experience with CI/ ...

Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus … Champion multi‐cloud architecture across Azure, AWS, and GCP. Ensure resilient, secure, and cost‐efficient deployments using Docker, Kubernetes (AKS/EKS/GKE), and Terraform/Bicep. Lead enterprise MLOps capabilities using Azure ML, SageMaker, Vertex AI, MLflow, and Kubeflow, integrated with CI/CD (GitHub Actions, Azure ...

technical contributor within a cloud-focused engineering team, working on one of the Group’s flagship initiatives—delivering a strategic platform on Google Cloud Platform (GCP) that enables the business to realize next‐generation services aligned with the Bank’s long‐term vision. Key Responsibilities Architect, implement, and maintain … with cross‐functional teams to deliver cloud‐native solutions aligned with engineering best practices and business goals. Required Skills & Experience: Core areas we require (GKE, Istio, GCP platform engineering, and complex production‐grade Kubernetes operations) Core Cloud & DevOps Competencies Extensive experience in DevOps or Site Reliability Engineering (SRE) roles ...

Cloud experience (GCP desirable) Infrastructure as Code (Terraform desirable) CI/CD tooling: Jenkins, Spinnaker, Harness API design/integration/documentation Kubernetes (GKE desirable) Software development: NodeJS, Bash, Python ...

understands how queries behave across hundreds of terabytes Has built production systems with Airflow/Composer , DBT , Terraform and Docker Is comfortable with GKE , Cloud Run or Cloud Functions Has worked with streaming systems built on Dataflow/Apache Beam Can work closely with non-technical stakeholders and shape solutions ...

years of hands-on experience in Google Cloud Strong understanding of GCP Data services (indexing, slots, pruning, partitioning, clustering) Expert-level Kubernetes & GKE resource tuning Hands-on experience with Dataflow job pipelines and worker optimisation Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator) Strong Dataflow processing pipelines … collaborate across engineering, data, and product teams Structured problem-solving mindset Ownership-driven, proactive and independent Experience Required Min 5+ years experience in Google Cloud ...

years of hands-on experience in Google Cloud Strong understanding of GCP Data services (indexing, slots, pruning, partitioning, clustering) Expert-level Kubernetes & GKE resource tuning Hands-on experience with Dataflow job pipelines and worker optimisation Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator) Strong Dataflow processing pipelines … collaborate across engineering, data, and product teams Structured problem-solving mindset Ownership-driven, proactive and independent Experience Required Min 5+ years experience in Google Cloud JBRP1_UKTJ ...

years of hands-on experience in Google Cloud Strong understanding of GCP Data services (indexing, slots, pruning, partitioning, clustering) Expert-level Kubernetes & GKE resource tuning Hands-on experience with Dataflow job pipelines and worker optimisation Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator) Strong Dataflow processing pipelines … collaborate across engineering, data, and product teams Structured problem-solving mindset Ownership-driven, proactive and independent Experience Required Min 5+ years experience in Google Cloud JBRP1_UKTJ ...

workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments. Responsibilities Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices … hands-on experience in Google Cloud. Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering. Expert-level Kubernetes & GKE resource tuning. Hands-on experience with Dataflow pipelines and worker optimisation. Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator). Deep understanding of Cloud ...

technical contributor within a cloud-focused engineering team, working on one of the Group’s flagship initiatives—delivering a strategic platform on Google Cloud Platform (GCP) that enables the business to realise next‐generation services aligned with the Bank’s long‐term vision. Key Responsibilities Architect, implement, and maintain … with cross‐functional teams to deliver cloud‐native solutions aligned with engineering best practices and business goals. Required Skills & Experience Core areas we require (GKE, Istio, GCP platform engineering, and complex production‐grade Kubernetes operations) Core Cloud & DevOps Competencies Extensive experience in DevOps or Site Reliability Engineering (SRE) roles ...

workflows Automate cloud infrastructure using Infrastructure as Code (Terraform preferred) Build and manage container platforms using Docker and Kubernetes (AKS/EKS/GKE) Implement monitoring, logging, and alerting integrations Collaborate with engineering, SRE, and security teams to embed DevOps best practices Troubleshoot pipeline failures, environment inconsistencies, and integration … pipelines (Azure DevOps, GitHub Actions, GitLab CI, Jenkins) Solid cloud engineering experience (Azure, AWS, or GCP) Deep Infrastructure as Code expertise (Terraform highly preferred) Kubernetes and container orchestration experience Strong scripting skills (Python, Bash, PowerShell) Good understanding of DevSecOps practices (SAST, DAST, secrets management, code scanning) Excellent troubleshooting ...

backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production Scale & operate production infrastructure · Deploy services on GCP (Cloud Run/GKE) or equivalent cloud infrastructure · Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs) · Implement security-first patterns: auth flows, service-to-service auth ...