151 to 175 of 2,158 Kubernetes Jobs in the UK

resiliency and security. Expertise in at least one programming language, with the ability and willingness to learn additional stacks (e.g., Java, Go, Python, Terraform, Kubernetes) as needed. Confidence using and critically evaluating agentic AI development tools; applies judgment on correctness, quality, security, and performance rather than accepting outputs at face ...

secrets management, policy enforcement, human‐in‐the‐loop approvals, auditability. Languages: Advanced Python plus one of Java/TypeScript/Go; containerization (Docker/K8s). Leadership & Communication Executive presence: influence C‐suite decisions with crisp, data‐backed narratives. Lead distributed teams across geographies/time zones; resolve conflicts ...

more: DevSecOps, software engineering, infrastructure engineering, cloud infrastructure. Specific technology will include: CI/CD – CircleCI, Gitlab SCM – GitHub Enterprise Docker, Kubernetes Security Automation – Trivy, Grype, Defect Dojo, Haystack Infrastructure as Code – Terraform Cloud – AWS 5+ years of relevant engineering, infrastructure, or technical program execution experience. Willingness to travel domestically ...

delivering RESTful APIs Microservices, event‐driven architecture and distributed systems Relational and NoSQL databases Messaging platforms such as Kafka or RabbitMQ Docker and containerisation Kubernetes and cloud‐native deployments Cloud platforms including AWS, Azure or GCP CI/CD pipelines and DevOps practices Observability, monitoring and distributed tracing JVM performance ...

delivering RESTful APIs Microservices, event‐driven architecture and distributed systems Relational and NoSQL databases Messaging platforms such as Kafka or RabbitMQ Docker and containerisation Kubernetes and cloud‐native deployments Cloud platforms including AWS, Azure or GCP CI/CD pipelines and DevOps practices Observability, monitoring and distributed tracing JVM performance ...

delivering RESTful APIs Microservices, event‐driven architecture and distributed systems Relational and NoSQL databases Messaging platforms such as Kafka or RabbitMQ Docker and containerisation Kubernetes and cloud‐native deployments Cloud platforms including AWS, Azure or GCP CI/CD pipelines and DevOps practices Observability, monitoring and distributed tracing JVM performance ...

delivering RESTful APIs Microservices, event‐driven architecture and distributed systems Relational and NoSQL databases Messaging platforms such as Kafka or RabbitMQ Docker and containerisation Kubernetes and cloud‐native deployments Cloud platforms including AWS, Azure or GCP CI/CD pipelines and DevOps practices Observability, monitoring and distributed tracing JVM performance ...

Boot, Hibernate/JPA and enterprise application architecture Strong understanding of distributed systems, scalability, resilience and performance tuning Experience with cloud-native applications, Docker, Kubernetes and CI/CD Strong knowledge of application security, OWASP principles and secure development practices Knowledge of a modern front-end node-based framework Other ...

native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines or data wrangling, gained through coursework, internships, or personal projects. ...

commercial settings, preferably in the financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists Equal Employment Opportunity ...

assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) Experience designing systems for reliability, scalability, and observability Ability to navigate and become effective in codebases and technologies ...

Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. ...

demonstrated ability to write clear documentation and collaborate across engineering teams. Ecosystem Knowledge : Hands‐on experience supporting software delivery and MLOps tooling (e.g., Kubernetes, Kubeflow, MLflow, Triton, Docker, or SageMaker/Azure ML). Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment ...

seamless integration and multi-provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud-Native Engineering Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems. Own deployment, monitoring, and troubleshooting for your ...

least one major cloud provider (AWS, Azure, GCP or Oracle Cloud) > Strong proficiency in CI/CD, Infrastructure as Code and containerisation (e.g. Docker, Kubernetes) > Proven ability to build and maintain automated deployment pipelines > Experience with monitoring, logging and alerting solutions > Strong scripting skills in Python, Bash, Go or similar ...

seamless integration and multi‐provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud‐Native Engineering: leverage containerization (Kubernetes, Docker), microservices, serverless, event‐driven architectures, CI/CD, and observability stacks to deliver scalable AI‐native systems. Own deployment, monitoring, and troubleshooting for your ...

resiliency and security. Expertise in at least one programming language, with the ability and willingness to learn additional stacks (e.g., Java, Go, Python, Terraform, Kubernetes) as needed. Confidence using and critically evaluating agentic AI development tools; applies judgment on correctness, quality, security, and performance rather than accepting outputs at face ...

configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS , Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What ...

experience with IaC and automation tools (Terraform, Ansible, or Puppet). •Familiarity with AWS, Azure, or GCP environments. •Exposure to container technologies (Docker, Kubernetes). •Understanding of network protocols, firewall configurations, and security best practices. #LI-SB2 Together, as owners, let's turn meaningful insights into action. Life ...

hardware offloading on RDMA‐capable NICs and how that integrates with virtual networking on Open V‐switch, KVM/QEMU. Experience with managing production Kubernetes clusters and workloads with an automation tool such as ArgoCD. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave ...

About You Scale Experience: Proven experience building and operating large-scale distributed systems. Containerization: Strong experience running web‐scale deployments of containerized systems using Kubernetes and/or Amazon container services (ECS/EKS). Problem Solver: A proactive approach to identifying root causes, debugging complex systems, and collaborating with ...

Proficient with TypeScript, React, Jest , and Storybook . Experience with Micro Frontends (MFEs) is a major plus. DevOps & Cloud: Hands-on experience with Docker, Kubernetes, Terraform , and AWS . Foundations: Strong understanding of system architecture, API design, scalable service integration, Linux systems, and Git version control. Core Soft Skills: Strong ...

e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you: Work-life balance is important ...

data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search) A little ...

deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild. Experience with managing production Kubernetes clusters and workloads. Experience with workload queue management systems (SLURM, LSF, Kueue). Experience with managed switch configuration (e.g. EOS, SONiC, DNOS). Programming experience with ...