226 to 250 of 303 Google Kubernetes Engine Jobs in England

implement scalable, secure, and resilient cloud solutions across AWS, Azure, or GCP. Define and execute Infrastructure as Code (IaC) strategies using Terraform, Ansible, and CI/CD pipelines. Oversee Kubernetes-based architectures Implement cloud security best practices, identity access management, and governance models. Drive DevSecOps adoption Work with senior stakeholders to align cloud strategy Optimize cloud environments using FinOps … in AWS, Azure, or GCP cloud services. Leadership experience, with a proven ability to guide teams and influence stakeholders. Deep technical knowledge of Terraform, Ansible, Kubernetes (AKS, EKS, GKE, OpenShift), and CI/CD pipelines. Strong understanding of cloud networking, API integration, and security controls. Experience working in Agile, DevSecOps, and Site Reliability Engineering (SRE) environments. Cloud certifications in More ❯

complex cloud solutions using the latest IaaS and PaaS technologies. Develop automation scripts and cloud-native toolsets using Terraform, GitHub, and Ansible. Contribute to building secure, scalable platforms including Kubernetes, API and integration, DevSecOps toolchains, data platforms, CRM systems, and more. Support cloud adoption initiatives, performing migrations and enhancing client cloud solutions using agile methodologies. Implement observability tools, FinOps … A successful Cloud Platform Engineer will have: Proven experience with at least one major cloud provider (Azure, AWS, GCP). Hands-on knowledge of Kubernetes platforms (e.g., AKS, GKE, EKS, OpenShift). Strong scripting and automation skills, particularly with CI/CD pipelines. A background in DevSecOps, SRE, Agile Delivery, or product-based delivery models. A consultative approach with More ❯

Extensive experience in cloud security architecture, with at least 3 years on Google Cloud Platform. Deep understanding of GCP services such as VPC, IAM, Cloud Armor, KMS, SCC, GKE and others. Strong knowledge of security protocols, authentication, authorisation, encryption and network security. Experience implementing Infrastructure as Code (IaC) with tools like Terraform or Deployment Manager. Familiarity with DevSecOps practices More ❯

working with cutting-edge tech - this one's for you. What Youll Do Own the design and build of GCP infrastructure from the ground up Lead platform projects across GKE, Terraform, CI/CD, and more Automate everything: deployments, monitoring, scaling, and security Collaborate with DevOps, data, and security teams to deliver slick cloud solutions Push forward innovation and best … expert for GCP tools, performance, and reliability What You Bring 5+ years in cloud or platform engineering (with a strong GCP focus) Confident designing cloud-native systems, especially with Kubernetes & Terraform Scripting chops in Python, Go, or Bash Real-world GitOps experience (GitLab CI, ArgoCD, Helm, etc.) Strong understanding of IAM, VPCs, networking, and cloud security A love for More ❯

Extensive experience in cloud security architecture, with at least 3 years on Google Cloud Platform. Deep understanding of GCP services such as VPC, IAM, Cloud Armor, KMS, SCC, GKE and others. Strong knowledge of security protocols, authentication, authorisation, encryption and network security. Experience implementing Infrastructure as Code (IaC) with tools like Terraform or Deployment Manager. Familiarity with DevSecOps practices More ❯

Talent Charter which was created because solving the diversity problem in tech requires a collective effort across companies and sectors. Requirements Technical Insight: Experience working with DevOps tooling: GCP (GKE, IAM, Networking) Terraform GKE Kubernetes in general Helm Go desirable Tools used: Helm Harness Jenkins ArgoCD GKE Terraform/Terraform Enterprise Job responsibilities Job Responsibilities and About the Role More ❯

we expect you’ll likely have ~6-10 years in a similar capacity. Intimately acquainted with some or all of our tools: GCP, Terraform, Postgres, Python, Docker, Kubernetes (GKE), Django, React. You’ll feel at home here if you... Are a ‘learn it all’ and believe life’s too short not to be. Are a bit unusual - nothing remarkable … policy 2 weeks of company wide time off annually Work where & (mostly) when you work best Employer Pension scheme (UK) Staff Wellness Programme Technologies we work with Infrastructure: GCP, Kubernetes & Terraform, AWS Code: Python, Typescript and Go Frameworks: Django, Flask, FastAPI, React DB’s: Redis, PostgreSQL & Metabase Tools: GitLab, ClickUp, Notion, Figma We are an equal opportunity employer and More ❯

in AWS, Azure, or GCP cloud services. Leadership experience, with a proven ability to guide teams and influence stakeholders. Deep technical knowledge of Terraform, Ansible, Kubernetes (AKS, EKS, GKE, OpenShift), and CI/CD pipelines. Strong understanding of cloud networking, API integration, and security controls. Experience working in Agile, DevSecOps, and Site Reliability Engineering (SRE) environments. Cloud certifications in More ❯

SDLC frameworks, SALSA, and SBOMs Desired Attributes Continuous improvement mindset and attention to detail Positive attitude and good communication skills Automation-focused approach Technologies Used Google Cloud Platform GKE with Anthos Service Mesh Confluent Cloud, Incident.io, Gitlab Jira, Confluence, Slack, Teams Elastic APM, Kibana Java, Node.js, Python, Javascript, Go, React About Rightmove Our vision is to empower everyone to More ❯

they're always ready to pull out all the stops. The primary development stack includes Go, Typescript with React, and Postgres, with deployment on Google Cloud Platform using GKE and Cloud SQL. The infrastructure is managed via Terraform and utilises BigQuery, PubSub, and Cloud Storage. Monitoring and logging are handled by Sentry, Grafana + Prometheus, with CircleCI for automated More ❯

and support to the team as necessary. Your Profile Experience in Python and Spark development. Experience in Google Cloud tech stack: Cloud Run, Big Query, Cloud Functions, PubSub, GKE The ability to design the efficient solutions, make them go through review process and secure approvals for actual implementation. A team player Desirable knowledge & experience: Hands on in JAVA Rewards More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯