11 of 11 Kubernetes Engineer Jobs in London

platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, CloudFormation). Familiarity of service mesh technologies (Istio, Linkerd). Solid understanding of virtualization (VMware, Hyper-V) and containerization (Docker, Kubernetes) and orchestration. Understanding of storage solutions (SAN, NAS, cloud storage) and backup systems. Strong understanding of network protocols, routing, switching, and firewalls. • Experience with load balancers (F5, HAProxy, Nginx More ❯

DevOps Engineer - Active SC Clearance, Cloud, Kubernetes DevOps Engineer - Active SC Clearance, Cloud, Kubernetes, CI/CDUp to £550 per day (Inside IR35 - Umbrella)London/Primarily Remote6 months My Client is an International Consultancy, who require Senior DevOps Engineer that holds Active SC (Security) Clearance, with AWS, Kubernetes and CI …/CD skills to work closely with a key end client. Key Requirements: Active Security Clearance (SC) Proven experience as a Senior DevOps Engineer Expertise in AWS, Kubernetes and CI/CD (Continuous Integration/Continuous Deployment) Expertise in cloud architecture including AWS, Azure and GCP. Understanding of TDD (Test Driven Development) Familiarity with scripting languages including More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded … software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems … roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar tools. Skilled in Python and comfortable working with SQL and data processing tools. More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded … software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems … roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar tools. Skilled in Python and comfortable working with SQL and data processing tools. More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded … software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems … roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar tools. Skilled in Python and comfortable working with SQL and data processing tools. More ❯

Kubernetes Engineer – Financial Markets A financial markets firm are implementing a new instance of Kubernetes and have an opportunity high a highly experienced systems engineer and DevOps professional to play a key role in the implementation and integration of the platform. You will have a deep understanding of containerised architecture and systems orchestration as … You should apply for this role if you are/have: 10+ years systems engineering experience within high performance computing environments Excellent understanding of containerised architectures and engineering in Kubernetes Strong understanding of DevOps platforms and tooling (Ansible, Terraform, Helm, Prometheus, Grafana etc.) Strong Linux engineering and integration experience with significant on prem experience Financial markets or scientific computing More ❯

Kubernetes Engineer – Financial Markets A financial markets firm are implementing a new instance of Kubernetes and have an opportunity high a highly experienced systems engineer and DevOps professional to play a key role in the implementation and integration of the platform. You will have a deep understanding of containerised architecture and systems orchestration as … You should apply for this role if you are/have: 10+ years systems engineering experience within high performance computing environments Excellent understanding of containerised architectures and engineering in Kubernetes Strong understanding of DevOps platforms and tooling (Ansible, Terraform, Helm, Prometheus, Grafana etc.) Strong Linux engineering and integration experience with significant on prem experience Financial markets or scientific computing More ❯

direction and strategy. Key Skills LLMOps and experience with Generative AI integration Programming experience in Go (Golang) , Java , Kotlin , JavaScript/Node.js , or Python Strong hands-on experience with Kubernetes (K8s) and OpenShift Experience with MongoDB , Kafka , Prometheus , OpenTelemetry , Grafana Familiarity with tools like Helm , Kustomize , Terraform , and Vault Proven experience with hybrid cloud environments (on-prem + public More ❯

Kubernetes Lead Engineer – HPC Infrastructure Contract | London | Hedge Fund I'm currently partnering with a leading hedge fund based in London to find a Kubernetes Lead Engineer with strong experience in High-Performance Computing (HPC) Infrastructure . Role Overview As the Kubernetes Team Lead , you will be responsible for designing, building, and managing … trading environment. You'll lead a team of engineers, define best practices, and ensure observability, scalability, and performance across the platform. Key Responsibilities Lead the design and operation of Kubernetes platforms (on-prem & cloud-native) Manage HPC infrastructure to support trading workloads and scientific compute Guide a team of engineers across distributed environments Define and enforce best practices for … tooling and ensure high platform availability Collaborate with other engineering teams to drive automation and operational efficiency Requirements 8+ years in infrastructure/platform engineering roles Deep expertise in Kubernetes (both on-premises and cloud-native) Strong Linux (preferably RHEL) systems administration skills Proven experience with HPC workloads or scientific computing clusters Hands-on experience with observability tools : Prometheus More ❯

Kubernetes Lead Engineer – HPC Infrastructure Contract | London | Hedge Fund I'm currently partnering with a leading hedge fund based in London to find a Kubernetes Lead Engineer with strong experience in High-Performance Computing (HPC) Infrastructure . Role Overview As the Kubernetes Team Lead , you will be responsible for designing, building, and managing … trading environment. You'll lead a team of engineers, define best practices, and ensure observability, scalability, and performance across the platform. Key Responsibilities Lead the design and operation of Kubernetes platforms (on-prem & cloud-native) Manage HPC infrastructure to support trading workloads and scientific compute Guide a team of engineers across distributed environments Define and enforce best practices for … tooling and ensure high platform availability Collaborate with other engineering teams to drive automation and operational efficiency Requirements 8+ years in infrastructure/platform engineering roles Deep expertise in Kubernetes (both on-premises and cloud-native) Strong Linux (preferably RHEL) systems administration skills Proven experience with HPC workloads or scientific computing clusters Hands-on experience with observability tools : Prometheus More ❯

The company is seeking a skilled DevOps Engineer to join their team and drive transformative solutions at the forefront of technological innovation. With a primary focus on Kubernetes orchestration and expertise in EKS, you'll play a pivotal role in shaping the future of their operations. Join a consultancy renowned for its commitment to excellence and its … a meaningful impact on critical projects that shape the nation's infrastructure. As a DevOps Engineer, you'll leverage your expertise to architect, deploy, and manage scalable Kubernetes environments on an AWS platform. Your proficiency in Terraform will drive the automation of infrastructure deployment, while your mastery of Jenkins will streamline their continuous integration and delivery pipelines. More ❯