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7 of 7 Kubernetes Jobs in Banbury
banbury, south east england, united kingdom Hybrid / WFH Options Understanding Recruitment
web apps, APIs, or workflow engines Hands-on experience with Docker , CI/CD pipelines , and cloud-native environments Knowledge of databases (SQL, MongoDB) and data pipelines Familiarity with Kubernetes , Terraform , or related orchestration tools What’s on offer: Competitive salary and bonus Private healthcare & pension Collaborative, mission-driven culture If you’re a Python Software Engineer who thrives in More ❯
banbury, south east england, united kingdom Hybrid / WFH Options La Fosse
either Python, Node.JS or Next.JS HTML & CSS SQL Expertise in at least one cloud platform and its managed data services. Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering an incredibly competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯
banbury, south east england, united kingdom Hybrid / WFH Options La Fosse
/or Node.JS SQL GraphQL Expertise in at least one cloud platform and its managed data services. Experience building APIs Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering a competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯
banbury, south east england, united kingdom trg.recruitment
to operationalise research outputs Writing clean, well-documented code and contributing to testing frameworks What we’re looking for Solid Python engineering experience and familiarity with containerised environments (Docker, Kubernetes) Knowledge of orchestration tools (e.g. Airflow), queuing systems (e.g. RabbitMQ), and Redis Experience working with or deploying NLP models or large language models Understanding of reproducibility, testing, and modern software More ❯
banbury, south east england, united kingdom Hybrid / WFH Options Hlx Life Sciences
across distributed, cloud-native systems. Key Responsibilities Design, implement, and maintain end-to-end MLOps pipelines for model training, validation, deployment, and monitoring. Develop and automate workflows using Terraform, Kubernetes, Docker , and CI/CD toolchains (GitHub Actions, Jenkins, Argo, etc.). Manage scalable cloud-based compute environments (Oracle Cloud, AWS, or GCP) for AI workloads and data processing. Build … Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration ( Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated testing frameworks. Experience with More ❯
banbury, south east england, united kingdom Calobra
Senior Software/Platform Engineer (DevOps) | AI-driven Healthcare | Hybrid (Oxford) - Contract Role I’m excited to be supporting a pioneering healthtech company that’s redefining how cardiovascular disease is detected and managed - using advanced AI and cloud-based diagnostics More ❯
banbury, south east england, united kingdom Hybrid / WFH Options Hlx Life Sciences
analysis and discovery. Key Responsibilities: Architect and manage cloud infrastructure (OCI/AWS/Azure) to support complex compute and storage needs Automate deployment, configuration, and scaling using Terraform , Kubernetes , and related tools Design and maintain object storage , compute clusters , and disaster recovery solutions Implement best practices in DevSecOps , identity and access management , and network security Collaborate with data scientists … researchers, and software engineers to deliver reliable, scalable systems Ideal Profile: Strong background in cloud platform engineering or DevSecOps Hands-on experience with Terraform , Kubernetes , and cloud architecture (preferably OCI) Familiarity with high-throughput or data-intensive environments (e.g. scientific research, bioinformatics, analytics) Passion for automation, performance optimisation, and secure system design Location: Oxford, UK (Hybrid) Seniority: Senior-level More ❯
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