26 to 50 of 1,677 Kubernetes Jobs in the UK

data governance, and regulatory standards. What you'll need Proven experience in software engineering, data engineering, or solutions architecture Java and JSPs Spring Boot Microservices, REST APIs Containerisation (Docker, Kubernetes, Helm) Cloud platforms (GCP preferred; Azure, AWS also valued) Git Atlassian tools e.g. JIRA, Confluence Agile development and CI/CD pipelines Strong leadership and mentoring skills Excellent communication and More ❯

least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi Previous h ands-on expertise with Spark Experience working with containerisation technologies - Docker, Kubernetes Streaming Knowledge: Experience with Kafka/Flink or other streaming ecosystems, with a solid understanding of their components DevOps experience building CI/CD pipelines (Jenkins), IaC (Terraform) Direct experience 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

ll help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Experience mentoring, coaching or managing others in the team 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 ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Experience mentoring, coaching or managing others in the team 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 ❯

role, you'll bring a strong technical foundation and a collaborative, proactive mindset. Key requirements include: Proven experience with AWS and cloud-native technologies Proficiency in containerisation and orchestration (Kubernetes, EKS, Docker) Experience with Helm Charts, Linkerd, and serverless architectures Strong skills in Infrastructure as Code (Terraform, Ansible, CloudFormation) CI/CD pipeline development using Azure DevOps Scripting and automation More ❯

role, you'll bring a strong technical foundation and a collaborative, proactive mindset. Key requirements include: Proven experience with AWS and cloud-native technologies Proficiency in containerisation and orchestration (Kubernetes, EKS, Docker) Experience with Helm Charts, Linkerd, and serverless architectures Strong skills in Infrastructure as Code (Terraform, Ansible, CloudFormation) CI/CD pipeline development using Azure DevOps Scripting and automation More ❯

Excellent communication and documentation skills. Preferred Skills: 1. Experience working with cloud platforms (AWS, Azure, or GCP). 2. Exposure to CI/CD, Git, and containerization (Docker/Kubernetes). 3. Background in enterprise pricing, CPQ, or revenue management platforms. 4. Experience in Agile/Scrum development environments. More ❯

development using frameworks like React, Vue.js, or Angular (preferred but not required). Proficiency with PHP (desirable) Experience working with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Strong understanding of CI/CD pipelines, DevOps practices, and software deployment strategies. Working knowledge of database technologies (SQL and NoSQL) and performance optimization techniques. Experience in software testing More ❯

on experience with cloud computing on Microsoft Azure. Strong scripting and automation skills in Azure CLI, Bash, PowerShell, or Python. Deep expertise in containerisation technologies (Docker) and orchestration tools (Kubernetes). Advanced knowledge of infrastructure as code tools such as Terraform with Terragrunt and Packer. Strong problem-solving skills with the ability to troubleshoot complex issues efficiently. Experience with version More ❯

. Experience with CI/CD, automated testing, and DevOps practices. Knowledge of security, data privacy, and GDPR compliance. Excellent communication skills. Strong problem-solving skills. Experience with Docker, Kubernetes, event-driven architectures, and message brokers like Kafka or RabbitMQ. Knowledge of front-end performance and accessibility standards. Exposure to machine learning pipelines and data workflows. Experience in startup or More ❯

cloud platforms (e.g., AWS, Azure, GCP) Strong understanding and experience of AI and MLE platforms and approaches (e.g., MCP, A2A, etc) Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of DevOps practices and tools. Experienced in SCRUM/Lean Agile frameworks with an MVP/iterative approach Ability to influence, take calculated risks, make sound business decisions More ❯

Cassandra, HBase, BigTable, or Cosmos DB. Exposure with Git workflows, and the ability to tailor the workflow to project needs. Exposure with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc. More ❯