5 of 5 Remote Kubernetes Jobs in Banbury

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 ❯

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 ❯

/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 ❯

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 ❯

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 ❯