18 of 18 Remote Kubernetes Jobs in Berkshire

best practices Current SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid 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 ❯

and contributing to high-performing teams Familiarity with Agile (Scrum or Kanban), TDD, and pair programming practices Experience with CI/CD pipelines and automation tooling Knowledge of Docker, Kubernetes, Jenkins, or GitLab CI Experience with cloud platforms such as AWS, GCP, or Azure Apply now to join a high-impact team delivering cutting-edge ecommerce and cloud solutions at More ❯

Pay & Perks - Up to £75K DOE + comprehensive benefits Your Toolkit Java & Spring Boot AWS (Lambda, ECS, S3, etc.) React.js CI/CD & DevOps tooling Bonus: AI/ML, Kubernetes, serverless architecture Security Clearance Note Due to the nature of our work, you'll need to be eligible for SC Clearance-that means holding a British passport and having lived More ❯

in network engineering (routing, switching, firewalls, VPNs). Experience with cloud platforms (AWS/Azure) in secure environments. Proficiency in DevOps tools (Terraform, Ansible, Jenkins, GitLab CI/CD, Kubernetes, Docker). Scripting knowledge (e.g. Python, Bash, PowerShell). Previous experience in defence, government, or secure environments. Desirable Skills Industry-recognised network certifications (e.g. CCNA, CCNP, JNCIP, CompTIA Network+). More ❯

and contributing to high-performing teams Familiarity with Agile (Scrum or Kanban), TDD, and pair programming practices Experience with CI/CD pipelines and automation tooling Knowledge of Docker, Kubernetes, Jenkins, or GitLab CI Experience with cloud platforms such as AWS, GCP, or Azure Apply now to join a high-impact team delivering cutting-edge ecommerce and cloud solutions at More ❯

Spring Boot Framework Strong core java experience (Java 17 and above preferred) Experience with MS SQL database development (queries, stored procedures, jobs, admin) AWS serverless development Docker swarm or Kubernetes Message Queuing - Azure service bus, Rabbit MQ, SNS/SQS Unit test/specification frameworks - JUnit DI containers Mocking Frameworks -JMock, Mockito Desirable Experience Gaming related industry knowledge and experience More ❯

support, working across security-first infrastructure and enabling robust DevSecOps practices. Essential Skills: Strong experience with AWS MSK (Kafka) and secure multi-account AWS environments Proven production experience with Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch More ❯

requirement. Strong hands-on experience with AWS services. Proficiency in Terraform and IaC principles. Solid understanding of CI/CD pipelines and DevOps culture. Experience with container technologies (Docker; Kubernetes beneficial). Good knowledge of cloud security, networking, and performance optimisation. Passion for clean, maintainable code, collaboration, and continuous learning. Next Steps If you are interested in this opportunity, hold More ❯

ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to More ❯

and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph analysis. Benefits Our client offers an exciting and supportive More ❯

control, ideally Git Experience working within an Agile environment Any experience in the following would be advantageous: .NET 5/6 JavaScript, TypeScript and frameworks such as React.js Docker, Kubernetes NoSQL This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact More ❯

with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are More ❯

control, ideally Git Experience working within an Agile environment Any experience in the following would be advantageous: .NET 5/6 JavaScript, TypeScript and frameworks such as React.js Docker, Kubernetes NoSQL This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact More ❯

coding practices. Hands-on experience with ML/LLM frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Expertise in DevOps/CI/CD security and cloud-native architectures (containers, Kubernetes, Git). Strong knowledge of AI/ML-specific security vulnerabilities (adversarial attacks, data poisoning, prompt injection, MITRE ATLAS). Familiarity with global regulatory frameworks relevant to AI security. Excellent More ❯

workflows Ensure system reliability, scalability, and performance through proactive monitoring and incident response Implement security best practices across infrastructure and deployment processes Containerize applications using Docker and orchestrate with Kubernetes or similar platforms Maintain version control systems and branching strategies (Git, GitLab, Bitbucket) Requirements Bachelor’s degree in Computer Science, Engineering, or related field 5-8 years of experience in … Unix systems and shell scripting Hands-on experience with cloud platforms (AWS, Azure, GCP) Proficiency in CI/CD tools and automation frameworks Familiarity with containerization and orchestration (Docker, Kubernetes) Experience with monitoring and logging tools Excellent problem-solving skills and a proactive mindset Strong communication and collaboration abilities More ❯

Lead DevOps Engineers to support both new and existing secure transformation projects. You’ll play a key role in architecting and maintaining scalable, security-first cloud infrastructure using AWS, Kubernetes, and real-time data streaming pipelines. This is a hands-on role for engineers who thrive in high-assurance environments and enjoy driving automation and DevSecOps best practices. What’s … CD, and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch More ❯

a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems using Kubernetes, Terraform, and orchestration tools such as Airflow, Flyte, or Temporal Write clean, extensible, and well-tested code to ensure long-term maintainability and collaboration across teams About You We are … as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable More ❯