1 to 25 of 51 Amazon EKS Jobs in Slough

cloud, however most of our work is with AWS and GCP, and you should have experience of working with the following cloud services: ECS, EKS, GKE, ECR, GAR Lambda, Step Functions, Cloud Run EC2, VPC and Load Balancing S3 and GCS RDS and Cloud SQL IAM AWS Organizations, GCP More ❯

You'll Be Doing: Owning and scaling cloud infrastructure in high-performance computing environments Deploying with Terraform and optimising AWS services (IAM, EC2, ECS, EKS, S3, MSK, Lambda, etc.) Building and managing CI/CD pipelines with GitLab and GitHub Actions Containerising with Docker and applying best practices for More ❯

Prometheus, Grafana, OTEL, Cloudwatch) and telemetry pipelines. Solid programming skills in Python and/or Go; Java experience a plus. Hands-on AWS expertise (EKS, SQS, RDS, EC2, Lambda, Cloudwatch, etc.). Strong Linux and networking fundamentals (TCP, DNS, TLS, HTTP). Familiarity with IaC (Terraform), CI/CD More ❯

and patterns for a large multi-account AWS estate. Solve complex business challenges as an AWS subject matter expert, leveraging services like EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, and IAM. Drive DevOps and CI/CD practices, working with tools like Docker, Kubernetes, OpenShift, and More ❯

team on renewals, upsells, cross-sells, and expansion opportunities. Requirements Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience More ❯

API authentication mechanisms Solid knowledge of microservices architecture, DevOps, and CI/CD practices Hands-on experience with containerization (Docker, Kubernetes, AWS ECS/EKS) Excellent problem-solving skills and ability to work in a fast-paced environment Bonus Skills Knowledge of serverless technologies and event-driven architectures Experience More ❯

analysis Database experience : Postgres, MongoDB, Redis Source Code Control: Working experience using GitHub, Bitbucket, RhodeCode Container orchestration: Docker, Kubernetes, GCP GKE, AWS ECS, AWS EKS CI/CD platforms (we are using GitHub Actions) Other expertise required: Git, Gitflow, Jira, Gitlab, Trello, Scrum Bachelor's and/or master More ❯

is highly desirable. Should have a solid understanding of and experience deploying the following AWS services: OU VPC IAM Route 53 Load balancer EC2 EKS The candidate should have solid experience with AWS CloudFormation and a working knowledge of Terraform and Kubernetes The candidate should have experience interfacing between More ❯

Java skills, familiarity with Python • Experience in Linux, Git, CI/CD, Apache NiFi • Knowledge of Oracle, MongoDB, React, Elasticsearch • Familiarity with AWS (EC2, EKS, Fargate, S3, Lambda) If you do not meet all requirements still feel free to apply Benefits: • Salary: £45,000 - £80,000 • Bonus: up to More ❯

like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using AWS (SageMaker, EC2, EKS, Lambda) or equivalent platforms. • Performance Optimization: Implement monitoring, logging, and optimization strategies to meet latency, throughput, and availability requirements across ML services. • Collaboration: Work More ❯

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 this role: A comprehensive package, including More ❯

environment with high autonomy. Excellent communication skills and a track record of cross-team collaboration. Nice to have: Kubernetes expertise (GKE/AKS/EKS) and container-native observability stacks (Prometheus/Grafana). NoSQL experience (Firestore, Cosmos DB, DynamoDB, MongoDB). Experience with game-backend scales, real-time More ❯

with tracing and monitoring to improve performance and reliability Defining and improving SLIs/SLOs , automating tasks, and reducing operational noise Working with AWS (EKS, EC2, Lambda, RDS), Terraform, and CI/CD tools What They’re Looking For: Experience in SRE or DevOps roles in a production environment More ❯

will prove instrumental. Key tooling: Multi-cloud experience (there is the opp to push either AWS/Azure) IaC - Terraform/ARM - Mandatory K8s - EKS and/or AKS Ideally a software background - C#/.Net (not mandatory) DevSecOps This is a remote opportunity with very occasional travel - one More ❯

utilizing AWS Lambda, API Gateway, DynamoDB, Step Functions, and related services. Implement and optimize AWS infrastructure services (EC2, S3, RDS, VPC, CloudFormation, IAM, ECS, EKS, etc.). Collaborate with stakeholders to analyze current application architecture, design migration strategies, and create detailed migration runbooks. Automate infrastructure deployment and management through … on experience with AWS Lambda and serverless architecture patterns. Strong expertise across the full AWS services ecosystem (eg, EC2, S3, RDS, VPC, IAM, ECS, EKS, SQS, SNS, CloudWatch, CloudTrail, etc.). Proficient in Infrastructure as Code (CloudFormation, Terraform, or AWS CDK). Experience with AWS migration tools (AWS Migration More ❯

with containerization, image building, and deployment (e.g., Docker, Kubernetes optional). Cloud & Infrastructure: · Hands-on experience with AWS services for ML workloads (SageMaker, EC2, EKS, etc.) or equivalent services in Azure/GCP. · Ability to manage cloud infrastructure to ensure high availability, scalability, and cost efficiency. Nice-to-Have More ❯

experience You have a good knowledge of microservices and Cloud (AWS or Azure) experience, ideally you'll have some experience with Docker/Kubernetes, EKS You have a good understanding of CQRS and event driven architectures Ideally you will also have some front end development experience with JavaScript/ More ❯

boto3, Pydantic, and Data Version Control (DVC). Familiar with Django 4 and core API development. Strong hands-on experience with AWS cloud infrastructure, EKS, and Docker. Solid understanding of data concepts (relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven More ❯

scripting languages such as Shell or Python. Proficiency in Golang , particularly with event-driven services and gRPC. Extensive experience with AWS services, including ECS, EKS, Lambda, IAM, VPC, S3, EBS, RDS, and DynamoDB. Familiarity with Terraform and containerization technologies. Understanding of networking protocols and system design principles. Experience in More ❯

such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. Passionate about code quality, adhering to best practices for code quality, performance, testing More ❯

Deep expertise in both AWS and Azure. Strong hands-on skills in platform architecture, cloud-native infrastructure and automation. Experience with containerisation (Docker, Kubernetes, EKS/AKS), networking, identity, and access management. Demonstrated capability in building and enforcing robust DevOps, CI/CD and monitoring practices. Strong experience implementing More ❯

conventional wisdom about what's possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and operating production grade generative More ❯

will have: • Proven experience with at least one major cloud provider (Azure, AWS, GCP). • Hands-on knowledge of Kubernetes platforms (e.g., AKS, GKE, EKS, OpenShift). • Strong scripting and automation skills, particularly with CI/CD pipelines. • A background in DevSecOps, SRE, Agile Delivery, or product-based delivery More ❯

will have: Proven experience with at least one major cloud provider (Azure, AWS, GCP). Hands-on knowledge of Kubernetes platforms (e.g., AKS, GKE, EKS, OpenShift). Strong scripting and automation skills, particularly with CI/CD pipelines. A background in DevSecOps, SRE, Agile Delivery, or product-based delivery More ❯

with internal teams on product enhancements informed by customer data insights. Key Requirements: Technical Expertise: Hands-on experience with Cloud DevOps, specifically AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and equivalents in Azure and GCP. Familiarity with observability tools such as Kibana, Grafana, Datadog, NewRelic, and More ❯