1 to 25 of 89 Amazon EKS Jobs in the UK

and implementing secure, scalable, and high-performance analytical platforms. You will play a key role in building cloud-based solutions utilising Amazon EKS, containerisation, Lambda layers, CloudFormation resources, AWS RDS, and S3 . About Us Triad Group Plc is an award-winning digital, data, and technology partner … implement secure, scalable cloud architectures on AWS. Develop analytical platforms using AWS services, ensuring best practices in security and efficiency. Utilise Amazon EKS, containerisation, Lambda layers, CloudFormation resources, AWS RDS, and S3 to build robust solutions. Work closely with engineering teams to define and implement cloud solutions. … Professional or Associate). Proven experience in designing and building cloud-based analytical platforms in a secure environment. Strong expertise in Amazon EKS, containerisation, Lambda layers, CloudFormation, AWS RDS, and S3. Deep understanding of cloud solutions architecture and best practices. Ability to work with open-source codebases More ❯

Cloud services along with third-party tooling to complement this offering. EC2, ECS, RDS, S3, Cloudfront, WAF, API Gateway, Lamdba, Elasticache, Elasticsearch, SQS, SNS, EKS CI/CD (Jenkins, Github, Python) Infrastructure as Code (Terraform, Ansible, Packer, Hashicorp Vault). Messaging/Data Streaming (Kafka, ActiveMQ, RabbitMQ) Monitoring (Grafana More ❯

What Are We Looking For? Technical Skills Cloud expertise : Strong experience with AWS (ECS, EC2, S3, RDS, Lambda, CloudFormation, Terraform) Kubernetes & Containerisation : Experience with EKS, Helm, or similar orchestration tools DevOps Practices : Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD) and automation tools like More ❯

e.g., Terraform, Ansible) and scripting languages (e.g., Python, Ruby). Container Orchestration: Knowledge of container orchestration platforms (e.g., Kubernetes) and their managed counterparts (e.g., EKS, AKS, GKE). Public Cloud Expertise: Understanding of cloud services, architecture, and best practices in one or more major public cloud providers (AWS, Azure More ❯

or Lean teams, with a strong understanding of DevOps best practices (git, CI/CD, testing). Familiarity with containerization tools like Docker, Kubernetes, EKS/ECS. Experience with data pipelines, ETL processes, and relational and NoSQL databases (e.g., MySQL, Clickhouse, MongoDB). Strong analytical, problem-solving, and communication More ❯

Proficient in Azure Dev Ops work management platform Desirable Attributes •Experience in Geology domain especially Oil and Gas •Proficient in AWS services, including RDS, EKS, EC2, and Lambda. •DotNet: Extensive knowledge of .NET framework and .NET Core. •Spring Framework: Strong experience with Spring Boot and related technologies. •Hands-on More ❯

Proficient in Azure DevOps work management platform. Desirable Attributes Experience in the Geology domain, especially Oil and Gas. Proficient in AWS services, including RDS, EKS, EC2, and Lambda. Extensive knowledge of .NET framework and .NET Core. Strong experience with Spring Boot and related technologies. Hands-on experience with Terraform. More ❯

of the criteria: • Containerisation/Container Security • Microservice Architectures • API Development, REST, Swagger, OpenAPI, gRPC • Cloud platforms and technologies, AWS, (e.g. Lambda, API Gateway, EKS), Azure, Google Cloud Platform (GCP) • Cloud native Apps, Kubernetes, OpenShift, MicroK8s • Infrastructure as Code (IaC), automation & configuration management • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation More ❯

of the criteria: • Containerisation/Container Security • Microservice Architectures • API Development, REST, Swagger, OpenAPI, gRPC • Cloud platforms and technologies, AWS, (e.g. Lambda, API Gateway, EKS), Azure, Google Cloud Platform (GCP) • Cloud native Apps, Kubernetes, OpenShift, MicroK8s • Infrastructure as Code (IaC), automation & configuration management • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation More ❯

impact of their work on the life sciences industry, and this fuels their passion. Core skills: Significant cloud expertise with AWS, including ECS/EKS, Lambda, S3, IAM. Stewardship of CI/CD pipelines for efficient software delivery of our Python and React applications. Utilising Infrastructure as code via More ❯

in mentoring junior developers, working with microservices, and serverless architectures, and optimising CI/CD pipelines for cloud deployments. Experience with AWS services (EC2, EKS, Fargate, IAM, S3, Lambda) and migration of on-premises workloads to the cloud. Benefits Package: Base Salary: Up to £80,000 Bonus: Up to More ❯

of the following: • Containerisation/Container Security; • Microservice Architectures; • API Development, REST, Swagger, OpenAPI, gRPC; • Cloud platforms and technologies, AWS, (e.g. Lambda, API Gateway, EKS), Azure, Google Cloud Platform (GCP); • Cloud native Apps, Kubernetes, OpenShift, MicroK8s; • Infrastructure as Code (IaC), automation & configuration management; • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation More ❯

with others to implement. Worked with observability solutions (Kibana, Grafana, Sentry). Experience using further technologies we use (Terraform, AWS RDS, AWS ECS or EKS, AWS EventBridge). More ❯

Protobuf for event definitions Websocket connections Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to ECS, Lambda and EKS, with infrastructure managed via Terraform and pipelines via CircleCI Kubernetes and Docker for running our applications Observability platform via Datadog Feature flags to enable More ❯

Protobuf for event definitions Websocket connections Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to ECS, Lambda and EKS, with infrastructure managed via Terraform and pipelines via CircleCI Kubernetes and Docker for running our applications Observability platform via Datadog Feature flags to enable More ❯

modern engineering principles AWS-first cloud architecture with Infrastructure-as-Code using Terraform .NET 7 running on Linux , containerised with Docker , orchestrated via AWS EKS & ECS Serverless computing with AWS Lambda (JavaScript & Python) Databases: AWS Aurora (MySQL/Postgres), DocumentDB, DynamoDB Event-driven systems using Kafka/AWS MSK More ❯

to scale their impact in world-wide markets. The Cloud Support Engineer - Containers role supports services that focus on Containerization including Elastic Kubernetes Service (EKS), Elastic Container Service (ECS), Elastic Container Registry (ECR), Fargate, App Mesh, Batch. In this role, engineers interact with customers that reach out to AWS More ❯

Integration solutions An awareness of security considerations in web application deployment Monitoring/Logging aka ELK, Prometheus/Grafana etc Strong AWS knowledge - EC2, EKS, RDS, Aurora, networking, cost management If you'd like to discuss this DevOps Engineer in more detail, please send your updated CV to (url More ❯

Protobuf for event definitions Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to IoT Greengrass, ECS, Lambda and EKS, with infrastructure managed via Terraform and pipelines via CircleCI Kubernetes and Docker for running our applications Observability platform via Datadog Feature flags to enable More ❯

architecture AWS-native solutions with Infrastructure-as-Code (Terraform). Modern backend stack .NET 7, running on Linux, containerised with Docker, orchestrated via AWS EKS & ECS. Event-driven systems Kafka, AWS MSK, SNS/SQS, and EventBridge. Serverless capabilities AWS Lambda (Python, JavaScript). High-performance data layer AWS More ❯

incorporate them into the platform to ensure it remains at the cutting edge of technology. Tech Stack : AWS Cloud Services : Aurora, DynamoDB, Lambda, ECS, EKS, EventBridge. Programming Languages : .NET 7, JavaScript, Python. Infrastructure as Code : Terraform. Web Technologies : React. CI/CD : GitHub Actions. Messaging : Kafka, SNS/SQS. More ❯

technologies: React with Typescript Solver technology and algorithms to drive our workflow scheduling solver engine Websocket connections Deployment on AWS to ECS, Lambda and EKS, with infrastructure managed via Terraform and pipelines via CircleCI Feature flags to enable us to experiment and control when we release new features to More ❯

technologies: React with Typescript Solver technology and algorithms to drive our workflow scheduling solver engine Websocket connections Deployment on AWS to ECS, Lambda and EKS, with infrastructure managed via Terraform and pipelines via CircleCI Feature flags to enable us to experiment and control when we release new features to More ❯

threat detection. Data Engineering: Supporting AI and analytics with secure, scalable infrastructure. Requirements Technical Skills AWS Expertise: Deep knowledge of AWS (EC2, ECS/EKS, Lambda, RDS, S3, networking). Security & Zero Trust: Experience with zero-trust principles and AWS GuardDuty. Infrastructure as Code: Proficiency with AWS CDK, CloudFormation More ❯

in solving complex business issues; regarded as an AWS subject matter expert Demonstrable expertise designing and building with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python A working knowledge of Linux, networking More ❯