7 of 7 Kubernetes Jobs in Edinburgh

but experience in Azure or Google Cloud are an asset Knowledge of Infrastructure-as-Code, such as Terraform or CloudFormation Familiarity with cloud-native solutions, including serverless architectures and Kubernetes Understanding of CI/CD principles and practices for testing and deployment Experience with open-source technologies and version control (e.g. Git) Candidates must be located in the UK and More ❯

skills in languages such as .Net, JavaScript, Python or similar. Experience with CI/CD tools (eg, GitHub Actions, ADO Pipelines). Familiarity with containerization and orchestration (eg, Docker, Kubernetes). Understanding of Azure. Excellent problem-solving and communication skills. Passion for improving developer workflows and internal tooling. We are proud to be a Disability Confident Committed employer. If you More ❯

.NET Ability to work with Azure and cloud-based development Familiarity with databases such as MS SQL o MongoDB Experience working with RESTful APIsand JSON Exposure to Docker and Kubernetes Previous experience in paymentsor financial integrations would be an advantage If youre passionate about technology, enjoy solving complex problems, and want to work for a company thats redefining the way More ❯

cloud strategy and architecture What You’ll Bring Proven expertise in Microsoft Azure (ideally within financial services) Strong hands-on experience with Terraform and infrastructure as code Knowledge of Kubernetes for container orchestration Exposure to AWS or GCP is a strong advantage This is a fantastic opportunity to work on cutting-edge cloud solutions within a collaborative, forward-thinking environment. More ❯

cloud strategy and architecture What You’ll Bring Proven expertise in Microsoft Azure (ideally within financial services) Strong hands-on experience with Terraform and infrastructure as code Knowledge of Kubernetes for container orchestration Exposure to AWS or GCP is a strong advantage This is a fantastic opportunity to work on cutting-edge cloud solutions within a collaborative, forward-thinking environment. More ❯

systems: building ultra-reliable, ultra-scalable environments for inference and deployment. What you ll be doing Designing cloud-native architectures to run large language models on serverless frameworks (e.g. Kubernetes, Knative, or custom-built FaaS). Developing approaches to minimise cold-start latency through advanced container snapshotting, weight pre-loading, and graph partitioning . Building distributed inference pipelines with tensor … Ray, Dask, MPI, or custom equivalents). Experience with GPU cluster management (CUDA, NCCL, Triton Inference Server) and performance tuning across accelerators. Solid grasp of cloud-native orchestration (Docker, Kubernetes, Helm) and observability tooling (Prometheus, Grafana, Jaeger). Proven ability to translate cutting-edge research into engineered solutions that can scale globally. Why this role stands out Influence how next More ❯

systems: building ultra-reliable, ultra-scalable environments for inference and deployment. What you’ll be doing Designing cloud-native architectures to run large language models on serverless frameworks (e.g. Kubernetes, Knative, or custom-built FaaS). Developing approaches to minimise cold-start latency through advanced container snapshotting, weight pre-loading, and graph partitioning . Building distributed inference pipelines with tensor … Ray, Dask, MPI, or custom equivalents). Experience with GPU cluster management (CUDA, NCCL, Triton Inference Server) and performance tuning across accelerators. Solid grasp of cloud-native orchestration (Docker, Kubernetes, Helm) and observability tooling (Prometheus, Grafana, Jaeger). Proven ability to translate cutting-edge research into engineered solutions that can scale globally. Why this role stands out Influence how next More ❯