26 to 50 of 1,459 Kubernetes Jobs in England

and engineering practices Current SC clearance is a bonus — eligibility is essential Nice to have (or we’ll support you to get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Deployment tools (Ansible) Exposure to ML technologies (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working from More ❯

and engineering practices Current SC clearance is a bonus — eligibility is essential Nice to have (or we’ll support you to get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Deployment tools (Ansible) Exposure to ML technologies (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working from More ❯

and engineering practices Current SC clearance is a bonus — eligibility is essential Nice to have (or we’ll support you to get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Deployment tools (Ansible) Exposure to ML technologies (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working from More ❯

CD, Jenkins, GitHub Actions, CircleCI, Azure DevOps Pipelines Infrastructure-as-Code Terraform, Ansible, AWS CloudFormation, Pulumi Cloud Platforms AWS, Azure, GCP, or private cloud (OpenStack) Containerization Docker, Podman Orchestration Kubernetes (EKS, AKS, GKE), Helm, OpenShift Version Control Git, GitLab, Bitbucket Monitoring & Logging Prometheus, Grafana, ELK Stack, Splunk, Datadog Security & Compliance HashiCorp Vault, Snyk, SonarQube, Trivy, AWS IAM, CIS Benchmarks Configuration More ❯

of micro services architecture and RESTful APIs. *Proficient in relational and databases (e.g., PostgreSQL, DynamoDB). *Hands-on experience with cloud platforms (AWS & GCP). *Familiarity with containerization (Docker, Kubernetes). *Knowledge of design patterns, OOP principles, and clean code practices. *Experience with Git, Jenkins, CI/CD pipelines & Terraform. *Strong problem-solving and debugging skills. *Excellent communication and stakeholder More ❯

architecture and RESTful APIs. * Proficient in relational and NoSQL databases (e.g., PostgreSQL, MongoDB). * Hands-on experience with cloud platforms (AWS, Azure, or GCP). * Familiarity with containerization (Docker, Kubernetes). * Knowledge of design patterns, OOP principles, and clean code practices. * Experience with Git, Jenkins, CI/CD pipelines. * Strong problem-solving and debugging skills. * Excellent communication and stakeholder management More ❯

languages such as Python, Java, Go, or Node.js. Strong understanding of distributed systems, microservices architecture, and RESTful APIs. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Solid understanding of database design, query optimization, and administration for relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Knowledge of scalability strategies, load balancing, caching, and event-driven architectures. More ❯

role if you have: Solid experience in DevOps and Platform Engineering . Git and version control workflows CI/CD tools (Jenkins, GitHub Actions, GitLab etc.) Container platforms (Docker, Kubernetes) Infrastructure-as-code (Terraform, Ansible, Pulumi, CloudFormation) Cloud platforms (AWS, Azure, GCP) Security engineering tools and practices: SAST/DAST tools (Checkmarx, Veracode, SonarQube) Container security (Aqua, Snyk, Anchore) Programming More ❯

/TypeScript, and frameworks like React, Angular, or Node.js Deep hands-on experience with cloud platforms (AWS, Azure, or GCP), infrastructure-as-code tools (Terraform, CloudFormation), and container orchestration (Kubernetes, Docker) In-depth knowledge of CI/CD tools (Jenkins, GitLab CI, Azure DevOps) and modern deployment practices Familiarity with observability and monitoring tools such as Prometheus, Grafana, ELK Stack More ❯

and cloud architecture Experience with CI/CD tools, particularly Azure DevOps Proficiency in scripting languages such as PowerShell, Bash, or Python Familiarity with containerization technologies like Docker and Kubernetes Understanding of networking, security, and monitoring in a cloud environment Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Versatile, adaptable, and a willingness to handle More ❯

and cloud architecture Experience with CI/CD tools, particularly Azure DevOps Proficiency in scripting languages such as PowerShell, Bash, or Python Familiarity with containerization technologies like Docker and Kubernetes Understanding of networking, security, and monitoring in a cloud environment Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Versatile, adaptable, and a willingness to handle More ❯

building and deploying via CI/CD pipelines Testing expertise with tools such as Jest, Testing Library, Cypress, or Cucumber Familiarity with DevOps tools such as Jenkins, Terraform, Maven, Kubernetes Knowledge of release automation and build tools (e.g., Azure Pipelines, GCP, Nexus) Ability to work across the full software development lifecycle, from design to deployment Great communication and collaboration skills More ❯

and teamwork skills. Preferred Skills: Experience with cloud platforms e.g., AWS, Azure, Google Cloud. Knowledge of DevOps practices and CI/CD pipelines. Experience with containerization technologies e.g., Docker, Kubernetes Experience in writing distributed systems and concepts of sharding, Pub/Sub. Understanding of Agile methodologies. Even if you don't meet every requirement, we still encourage you to apply. More ❯

Collaborate with DevOps engineers to set up and maintain CI/CD pipelines for building, testing, and deploying applications and ML models. Containerise applications (Docker) and assist in orchestration (Kubernetes or cloud services) to ensure smooth deployment of scalable solutions. Work closely with data scientists to deploy machine learning models into production environments. Optimise model inference performance (leveraging frameworks like More ❯

applications and infrastructure. Required technical and professional expertise Java DevOps Infra experience Familiarity with DevOps principles and practices. Strong scripting and programming skills Exposure to containerization technologies (e.g., Docker, Kubernetes). Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud). Basic knowledge of version control systems (e.g., Git). As an equal opportunities' employer, we welcome applications from individuals More ❯

protection, access control). Strong communication and collaboration skills. Experience with tools such as Jira, Git, and Jenkins. Desired Skills & Experience Interest in or experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines). Experience with application logging and monitoring tools. Understanding of test automation, continuous testing, and test coverage metrics. Knowledge of architectural solutions (highly available systems, distributed More ❯

Commercial experience with React and TypeScript for front-end development Familiarity with Git and CI/CD pipelines (preferably Azure DevOps) Familiarity with containerization and orchestration (preferably Docker and Kubernetes), or serverless deployments Experience with any, or all, of the following: Creation of microservices and APIs JSON Web Tokens, OpenID Connect and OAuth 2.0 for authentication and authorization Infrastructure-as More ❯

infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable : Knowledge of emerging technologies like AI Previous, relevant experience as More ❯

with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with flexible More ❯

with experience in day-to-day deployment and release activities to ensure smooth, incremental delivery to production. Containerisation & Platform Engineering - Proficient with container technologies (e.g. Docker), orchestration tools (e.g. Kubernetes), and service mesh frameworks (e.g. Istio), with a strong interest in diverse programming languages and modern engineering practices. About working for us Our focus is to ensure we're inclusive More ❯

tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make More ❯

tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make More ❯

tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make More ❯

tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make More ❯

tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make More ❯