1 to 25 of 50 Amazon EKS Jobs in the UK excluding London

Jenkins, GitHub Actions, CircleCI, Azure DevOps Pipelines Infrastructure-as-Code Terraform, Ansible, AWS CloudFormation, Pulumi Cloud Platforms AWS, Azure, GCP, or private cloud (OpenStack) Containerization Docker, Podman Orchestration Kubernetes (EKS, AKS, GKE), Helm, OpenShift Version Control Git, GitLab, Bitbucket Monitoring & Logging Prometheus, Grafana, ELK Stack, Splunk, Datadog Security & Compliance HashiCorp Vault, Snyk, SonarQube, Trivy, AWS IAM, CIS Benchmarks Configuration More ❯

with stakeholders to support ad hoc business changes and consultancy Technology Stack Content Management: Documentum server & DFC API, Filenet P8 (working knowledge) Cloud & Infrastructure: AWS Serverless, EC2, SQS, Containerisation (EKS) Infrastructure as Code: Terraform, Ansible CI/CD: GitLab Programming & Scripting: Java, Rust, Node.js, Python, Bash Encryption: PKCS#11 (working knowledge) Operating Systems: Linux (primarily RHEL) Additional Tooling: Kong (CE More ❯

with stakeholders to support ad hoc business changes and consultancy Technology Stack Content Management: Documentum server & DFC API, Filenet P8 (working knowledge) Cloud & Infrastructure: AWS Serverless, EC2, SQS, Containerisation (EKS) Infrastructure as Code: Terraform, Ansible CI/CD: GitLab Programming & Scripting: Java, Rust, Node.js, Python, Bash Encryption: PKCS#11 (working knowledge) Operating Systems: Linux (primarily RHEL) Additional Tooling: Kong (CE More ❯

scale systems. Preferred Qualifications & Certifications: DV level clearance is required ISTQB Foundation or Specialisms (Agile, Performance, Security, etc.) Certified Agile Tester (ISTQI) Familiarity with AWS services such as EC2, EKS, Fargate, IAM, S3, Lambda Experience using the AWS SDK (Boto3) Knowledge of hybrid-cloud and cloud-native integration practices Understanding of CloudTrail and diagnosing cloud integration issues More ❯

background in DevOps and platform engineering , including: CI/CD pipelines (GitHub Actions, GitLab, Jenkins, Azure DevOps) Infrastructure as Code (Terraform, Ansible, CloudFormation) Containerisation and orchestration (Docker, Kubernetes, AKS, EKS, GKE) Cloud security, governance, and compliance frameworks Experience building and maintaining senior stakeholder relationships, presenting solutions, and driving consensus between business and technical teams. Track record of coaching, mentoring More ❯

monitoring and improve alerting capabilities. Identify monitoring gaps and propose solutions to strengthen performance and resilience. Qualifications What we’d love you to bring: Experience of AWS (particularly EC2, EKS, Lambda, S3, IAM, etc) Monitoring/alerting tools (for example we use Grafana, Prometheus, Loki, CloudWatch and Dynatrace) Knowledge of monitoring best practices for a variety of different platforms More ❯

with other teams. Participate in out-of-hours on-call or standby duties when required. Qualifications What we’d love you to bring: Deep experience of AWS (particularly EC2, EKS, Lambda, S3, IAM, etc) Monitoring/alerting tools (for example we use Grafana, Prometheus, Loki, CloudWatch and Dynatrace) SME on monitoring best practices for a variety of different platforms More ❯

hands-on skills in Infrastructure-as-Code, especially with Terraform. Experience with Ansible for configuration management. Solid understanding of Linux systems - specifically Ubuntu Knowledge of containerisation (Docker, ECS, or EKS). Either some experience of, or an interest in, Python for automation, scripting and infrastructure tooling. So What's Next? If you are an experienced Cloud Infrastructure Engineer or More ❯

as Elasticsearch & Kabana. Familiarity with Hibernate and Atlassian Suite - Bitbucket, Jira, Confluence Advantageous: experience with JSF (Primefaces), cloud software development (AWS), microservices, serverless architectures, and AWS services like EC2, EKS, Fargate, IAM, S3, Lambda. More ❯

Overview The team currently uses Kubernetes (EKS) and AWS. AWS technologies include: CloudFormation using Python Lambda DynamoDB Kinesis Data Streams S3 CloudFront CloudTrail CloudWatch Athena Grafana Prometheus CI/CD Processes GitLab is used for CI/CD processes with a strong emphasis on security. Supported Development Technologies The platform team will be initially supporting teams that develop applications More ❯

building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools. Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch). Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization More ❯

closely with architects, product managers, and stakeholders to shape technical strategy Solve complex engineering challenges to enhance performance, resilience, and maintainability Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure: Terraform, GitHub Actions, Docker Frontend: React More ❯

mentor Data Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as Code More ❯

logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/ More ❯

logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/ More ❯

logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/ More ❯

hands-on experience with Terraform and Infrastructure as Code methodologies in enterprise environments 6+ months experience with containerisation and orchestration with Kubernetes (either on-prem, Azure AKS or AWS EKS) Strong git knowledge and hands-on experience with at least one of Azure DevOps, GitHub Actions, GitLab or similar CI/CD tools in an enterprise environment. Demonstrable experience More ❯

of microservice architecture and API design principles Understanding of TDD and BDD principles Experience with CI/CD pipelines (GitLab CI desirable) Familiarity with Docker and containerisation (Kubernetes/EKS desirable) Ability to work in Agile delivery environments Knowledge of Kafka SC Security Clearance - Active More ❯

of microservice architecture and API design principles Understanding of TDD and BDD principles Experience with CI/CD pipelines (GitLab CI desirable) Familiarity with Docker and containerisation (Kubernetes/EKS desirable) Ability to work in Agile delivery environments Knowledge of Kafka SC Security Clearance - Active More ❯

of microservice architecture and API design principles Understanding of TDD and BDD principles Experience with CI/CD pipelines (GitLab CI desirable) Familiarity with Docker and containerisation (Kubernetes/EKS desirable) Ability to work in Agile delivery environments Knowledge of Kafka SC Security Clearance - Active More ❯

logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management * Experience with CDK for infrastructure deployment * SQS for message queuing * EKS/ECS/Kubernetes for containerised AI deployments API Development : * FastAPI for building REST APIs and model serving endpoints * Requests library for HTTP client operations and external API integration More ❯

logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management * Experience with CDK for infrastructure deployment * SQS for message queuing * EKS/ECS/Kubernetes for containerised AI deployments API Development : * FastAPI for building REST APIs and model serving endpoints * Requests library for HTTP client operations and external API integration More ❯

logging and metrics for monitoring and debugging Understanding of IAM and security for role-based access and credential management Experience with CDK for infrastructure deployment SQS for message queuing EKS/ECS/Kubernetes for containerized AI deployments API Development: FastAPI for building REST APIs and model serving endpoints Requests library for HTTP client operations and external API integration More ❯

need Proven experience leading DevOps or DevSecOps projects across cloud and hybrid platforms Strong working knowledge of agile delivery methodologies (Scrum, SAFe, Kanban, etc.) Deep expertise in Kubernetes (vanilla, EKS, AKS, OpenShift), CI/CD pipelines, and infrastructure as code (Terraform) Security integration experience across the DevSecOps lifecycle, including: SAST, DAST, SCA, and IAST tools (e.g., Checkmarx, Veracode, OWASP More ❯

grade AI systems using LLMs , Object Detection , and OCR Leveraging frameworks like Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time model inference, edge deployments, and API integrations Working closely with a technical More ❯