101 to 125 of 398 Amazon EKS Jobs in the UK

iOS (Swift). Desktop: Cross platform desktop app built with Electron (TypeScript). Database: MySQL (Aurora DB), Redis (ElastiCache), MongoDB (AWS DocumentDB). Cloud & DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code (CloudFormation, Terraform), CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana). Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE's (Cursor More ❯

iOS (Swift). Desktop: Cross platform desktop app built with Electron (TypeScript). Database: MySQL (Aurora DB), Redis (ElastiCache), MongoDB (AWS DocumentDB). Cloud & DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code (CloudFormation, Terraform), CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana), OpenAI in Azure. Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE More ❯

deploy, and maintain scalable machine learning systems in production. Key Responsibilities: Design, develop, and deploy machine learning models in production environments using AWS services (eg, SageMaker, Lambda, EC2, S3, EKS, etc.). Build scalable data pipelines for training and inference using AWS Glue, Step Functions, and other ETL tools. Integrate ML models into existing systems and APIs, ensuring seamless More ❯

deploy, and maintain scalable machine learning systems in production. Key Responsibilities: Design, develop, and deploy machine learning models in production environments using AWS services (e.g., SageMaker, Lambda, EC2, S3, EKS, etc.). Build scalable data pipelines for training and inference using AWS Glue, Step Functions, and other ETL tools. Integrate ML models into existing systems and APIs, ensuring seamless More ❯

deploy, and maintain scalable machine learning systems in production. Key Responsibilities: Design, develop, and deploy machine learning models in production environments using AWS services (e.g., SageMaker, Lambda, EC2, S3, EKS, etc.). Build scalable data pipelines for training and inference using AWS Glue, Step Functions, and other ETL tools. Integrate ML models into existing systems and APIs, ensuring seamless More ❯

deploy, and maintain scalable machine learning systems in production. Key Responsibilities: Design, develop, and deploy machine learning models in production environments using AWS services (e.g., SageMaker, Lambda, EC2, S3, EKS, etc.). Build scalable data pipelines for training and inference using AWS Glue, Step Functions, and other ETL tools. Integrate ML models into existing systems and APIs, ensuring seamless More ❯

IAM, CloudWatch, Route 53, etc.) - Experience migrating from Heroku to AWS or other PaaS-to-cloud transformations - Strong Infrastructure as Code experience (Terraform preferred) - Container orchestration (ECS, Fargate, or EKS) - CI/CD tooling (e.g. GitHub Actions, CircleCI, etc.) - Monitoring, observability, and cost optimisation techniques - Familiarity with security controls and compliance frameworks Nice-to-Have Experience: - Global infrastructure projects More ❯

IAM, CloudWatch, Route 53, etc.) - Experience migrating from Heroku to AWS or other PaaS-to-cloud transformations - Strong Infrastructure as Code experience (Terraform preferred) - Container orchestration (ECS, Fargate, or EKS) - CI/CD tooling (e.g. GitHub Actions, CircleCI, etc.) - Monitoring, observability, and cost optimisation techniques - Familiarity with security controls and compliance frameworks Nice-to-Have Experience: - Global infrastructure projects More ❯

IAM, CloudWatch, Route 53, etc.) - Experience migrating from Heroku to AWS or other PaaS-to-cloud transformations - Strong Infrastructure as Code experience (Terraform preferred) - Container orchestration (ECS, Fargate, or EKS) - CI/CD tooling (e.g. GitHub Actions, CircleCI, etc.) - Monitoring, observability, and cost optimisation techniques - Familiarity with security controls and compliance frameworks Nice-to-Have Experience: - Global infrastructure projects More ❯

internal knowledge-sharing communities. Job Qualifications The following skills and experience are essential for this role: Proven hands-on experience with AWS, including services such as EC2, S3, IAM, EKS/ECS, Fargate, and networking/security components. Proficient in SQL and Python for data engineering tasks. Experience with big data challenges, including large-scale data processing and optimization. More ❯

Data Engineer or in a similar role Experience in managing a team of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and applications to stream and process More ❯

managing Kubernetes clusters using tools such as kubectl , Helm, or Kustomize. In-depth knowledge of container technologies, including Docker. Experience with cloud platforms (AWS, GCP, Azure) and Kubernetes services (EKS, GKE, AKS). Understanding of infrastructure-as-code (IaC) tools such as Terraform or CloudFormation. What makes you stand out? Experience with monitoring tools like Prometheus, Grafana, or Datadog. More ❯

Experience of Windows and Linux operating systems • Experience of using Terraform to build, change and version infrastructure. • Experience of container technologies, for example Docker, Kubernetes, Azure AKS and AWS EKS • Working knowledge of AGILE development, using methodologies such as Scrum, Kanban or Extreme Programming • Configuration of firewalls, load balancers and other network equipment Key duties and accountabilities of the More ❯

automation tools, such as Ansible. 3+ years working with cloud platforms. Extensive knowledge of Linux based systems including Hardware, software, networking and storage. Experience architecting cloud infrastructures on Amazon Web Services (AWS) for small, medium scale … and enterprise level applications. Specific experience with Amazon Web Services (AWS), including VPC, EC2 (including Spot Instances and Autoscaling), Network, E/ALB, EBS, RDS, and IAM. EKS would be a bonus. Broad experience with cloud adoption, including WAR and FTR, prototyping of new environments, server builds, data migration, performance tuning of cloud environments. Technical knowledge of More ❯

AWS setups. Proficiency in Python, Go, or similar languages for automation and scripting. Expert-level knowledge of AWS Networking, TLS, and security best practices. Experience with container orchestration (Kubernetes, EKS) and observability tools (Grafana, ELK). A passion for innovation, problem-solving, and delivering high-impact solutions. Why Work For Us? 25 days holiday + bank holidays Up to More ❯

learn, grow and work with great colleagues who consistently challenge the status quo. Roles, Responsibilities and Requirements of Our Cloud Native Security Consultant: Kubernetes and container experience (some of EKS, GKE, AKS, OpenShift, and container runtimes) Experience of Threat Modelling and designing Cloud Native security architectures (AWS, GCP, Azure) Understanding of CD/CD best practices and a range More ❯

scripting languages (e.g., Python, PowerShell, Bash) Strong background in system administration (Windows Server and Linux) Hands-on experience with AWS, Azure, Rackspace, or OpenStack Working knowledge of Kubernetes (preferably EKS in AWS) Infrastructure as Code (Terraform, Packer, etc.) Familiarity with configuration management tools (e.g., Ansible, Puppet, Chef) Nice to Have: Good understanding of networking protocols (DNS, HTTP, TCP/ More ❯

with Bash interactively and programmatically Familiarity with public cloud platforms (AWS or Azure preferred) Experience working with core Linux distributions (Debian, RHEL, SUSE, Slackware) Familiarity with container orchestration technologies (EKS or AKS preferred) Experience with deployment pipeline tools such as Ansible, Jenkins, and/or GitHub Actions Proficiency working with Infrastructure as Code (IaC) A desire to adopt and More ❯

of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day!) Terraform and Grafana The team The Customer Identity & Fincrime division is at the More ❯

platform. While expertise in all areas is not required, experience with them is a plus: Java, primary language for our backend codebase AWS & GCP - we're cloud-native Kubernetes (EKS) Microservice based architecture RESTful APIs PostgreSQL, JDBI, Flyway TeamCity for CI/CD Terraform and Grafana The Team: The Core Banking group is seeking passionate engineers ready to tackle More ❯

ensure compliance and operational excellence Evaluate and adopt tools and practices to improve platform performance and reliability Desired Skills & Experience: Experience leading SRE transformations Hands-on expertise with Kubernetes (EKS preferred) in production Strong experience with AWS core services (EC2, EKS, RDS, S3, ALB/NLB, IAM, CloudWatch, etc.) Proficiency in Infrastructure as Code using Terraform and knowledge More ❯

here What You'll Do: • Kubernetes Management: Oversee and manage Kubernetes platforms for both development and production environments. • Multi-Platform Deployment: Deploy and support Kubernetes on platforms including RKE2, EKS, Tanzu, and OpenShift. • CI/CD Pipeline Automation: Automate and monitor CI/CD pipelines using tools such as GitLab CI, Jenkins, Ansible, Terraform, and CloudFormation. • Security Leadership: Implement … in a DevOps environment with a strong command of Linux and container platforms. • Kubernetes Know-How: Deep technical understanding of Kubernetes and experience with various Kubernetes distributions (K8S, K3S, EKS, AKS, RKE2, OpenShift). • Infrastructure Savvy: Solid background in infrastructure management, virtualization, and network configuration. • Security Focused: Familiarity with security best practices, including working in environments with security air More ❯

years as a software engineer, with recent experience in a Lead role Deep backend knowledge using Node.js , with full-stack ability in React Cloud experience, ideally with AWS (Lambda, EKS, RDS) and Kubernetes Exposure to AI tools or automation workflows (desirable!) Familiarity with GraphQL , CI/CD, and Infrastructure as Code (Terraform) A passion for clean, scalable architecture and More ❯

working with modern cloud tech and a dedicated SRE team. What You’ll Bring: 7+ years in SRE 3+ years in Java based products 5+ Linux/sysadmin AWS (EKS, EC2, CDK, VPC), Kubernetes, CI/CD IaC: Terraform, Helm, Ansible Experience with observability (New Relic, Splunk, DataDog) On-call rotation & agile/SCRUM experience Must be based in More ❯

working with modern cloud tech and a dedicated SRE team. What You’ll Bring: 7+ years in SRE 3+ years in Java based products 5+ Linux/sysadmin AWS (EKS, EC2, CDK, VPC), Kubernetes, CI/CD IaC: Terraform, Helm, Ansible Experience with observability (New Relic, Splunk, DataDog) On-call rotation & agile/SCRUM experience Must be based in More ❯