1 to 25 of 898 Kubernetes Jobs in London

proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the Government/Public Sector space More ❯

proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the Government/Public Sector space More ❯

React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector). Deploy solutions using AWS or Azure, Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance using tools like Langsmith or Langfuse. Collaborate in agile teams and mentor junior engineers. What You'll Bring Strong More ❯

React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector). Deploy solutions using AWS or Azure, Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance using tools like Langsmith or Langfuse. Collaborate in agile teams and mentor junior engineers. What You'll Bring Strong More ❯

HMLR's Core Tech Stack Languages: Java and Python (with some legacy Delphi) Frameworks: Spring Boot, Flask, Django Cloud & Hosting: AWS and OpenShift (container-based environments) Containers & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub/GitLab) Databases: PostgreSQL (primary), with some Oracle and SQL Server legacy systems Version Control: Git and GitHub (enterprise) Testing: JUnit, PyTest, Selenium, and More ❯

such as Terraform , Ansible , Puppet , or Chef . Proficiency in one or more programming or scripting languages (e.g., Python , Go , React ). Knowledge of containerisation and orchestration (e.g., Docker , Kubernetes , OpenShift ). Experience with CI/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and logging More ❯

such as Terraform , Ansible , Puppet , or Chef . Proficiency in one or more programming or scripting languages (e.g., Python , Go , React ). Knowledge of containerisation and orchestration (e.g., Docker , Kubernetes , OpenShift ). Experience with CI/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and logging More ❯

GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling effective communication across international teams. Excellent problem-solving, analytical More ❯

data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

environments Strong understanding of Agile framework & principles Strong proficiency in Java (preferably Java 17+), Spring Boot, and RESTful API development Experience with cloud platforms (AWS preferred), containerization (e.g. Docker, Kubernetes) and microservices architecture Familiarity with CI/CD tools such as Jenkins, AWS CodePipeline, GitLab CI, or GitHub Actions Solid understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB) Knowledge More ❯

e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to successful delivery. Proficiency in multiple programming More ❯

version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a More ❯

version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a More ❯

experience as a DevOps Engineer in a cloud-based environment. Strong knowledge of CI/CD tools (Jenkins, GitLab CI, Azure DevOps, etc.). Experience with container technologies (Docker, Kubernetes). Hands-on experience with IaC (Terraform, Ansible, or CloudFormation). Proficient in scripting languages such as Bash, Python, or PowerShell. Familiarity with monitoring tools (Prometheus, Grafana, ELK, CloudWatch, etc. More ❯

and microservices. * Build responsive interfaces using HTML, CSS, JavaScript, and frameworks such as React, Angular, or Vue.js. * Manage relational and NoSQL databases. * Support CI/CD pipelines, containerisation (Docker, Kubernetes), and cloud deployments on AWS, Azure, or GCP. * Collaborate within Agile teams, using Git for version control and following best practices in security, testing, and code quality. Your Profile Essential More ❯

understanding of microservices architecture and cloud-based systems . Solid knowledge of database design (relational and/or NoSQL). Hands-on experience with Docker for containerization; familiarity with Kubernetes (or working closely with DevOps teams for orchestration). Proficiency with Git for version control and JIRA for agile backlog management. Experience in CI/CD tools and pipelines . More ❯

understanding of microservices architecture and cloud-based systems . Solid knowledge of database design (relational and/or NoSQL). Hands-on experience with Docker for containerization; familiarity with Kubernetes (or working closely with DevOps teams for orchestration). Proficiency with Git for version control and JIRA for agile backlog management. Experience in CI/CD tools and pipelines . More ❯

workflows. . Strong Scripting and automation skills (eg, Python, Bash). . Solid understanding of Linux systems, networking, and distributed systems. . Experience with containerization and orchestration (eg, Docker, Kubernetes). . Excellent problem-solving skills and ability to work collaboratively. Desirable skills/knowledge/experience: . AWS Certifications such as AWS Certified Solutions Architect, Certified DevOps Engineer or More ❯

as AWS CloudFormation, Terraform, or CDK, with a proven track record of automating cloud infrastructure deployments. Advanced knowledge of containerization technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS. Expertise in defining, implementing, and optimizing CI/CD pipelines using tools such as AWS CodePipeline, Jenkins, GitLab, GitHub Actions, and others, applying best practices for pipeline efficiency More ❯

as AWS CloudFormation, Terraform, or CDK, with a proven track record of automating cloud infrastructure deployments. Advanced knowledge of containerization technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS. Expertise in defining, implementing, and optimizing CI/CD pipelines using tools such as AWS CodePipeline, Jenkins, GitLab, GitHub Actions, and others, applying best practices for pipeline efficiency More ❯

and events. Preferred Skills Experience with Dynatrace and similar platforms (e.g., New Relic, Datadog, AppDynamics). Certifications in cloud technologies or DevOps practices. Familiarity with CI/CD pipelines, Kubernetes, and infrastructure-as-code tools (Terraform, Ansible). What we offer DXC provide a comprehensive Flex benefits scheme including Pension, Life Insurance, Health insurance, travel insurance, store vouchers/discounts 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 ❯

CircleCI, or Azure DevOps) Solid grasp of version control (Git) and modern software delivery practices Desirable Experience in consulting or working with multiple client projects Familiarity with containerisation (Docker, Kubernetes) Understanding of modern API design and microservice architecture More ❯

CircleCI, or Azure DevOps) Solid grasp of version control (Git) and modern software delivery practices Desirable Experience in consulting or working with multiple client projects Familiarity with containerisation (Docker, Kubernetes) Understanding of modern API design and microservice architecture More ❯