1 to 25 of 43 Amazon EKS Jobs in the City of London

be SC cleared or Eligible for SC clearance Responsibilities Design, implement, and maintain scalable security solutions using AWS services, including AWS WAF, AWS Shield Advanced, AWS Secrets Manager, Amazon Inspector, Amazon Macie, Amazon GuardDuty, Amazon Detective, AWS CloudTrail, and AWS Security Hub. Managing and troubleshooting Checkpoint firewall. Develop and maintain Infrastructure as … teams to improve Network Defence and Vulnerability Management. Skills required, including - Checkpoint Firewall, Network Defence and Vulnerability Management: AWS KMS, AWS Secrets Manager, AWS API Gateway, AWS WAF, Amazon Inspector, Amazon Macie ,Amazon GuardDuty … AWS CloudTrail, AWS Security Hub, AWS IAM Access Analyzer, AWS Certificate Manager, AWS Codeguru, AWS Config, AWS Audit Manager, AWS Trusted Advisor, Amazon Detective, AWS Shield advanced, EKS, ECR More ❯

be SC cleared or Eligible for SC clearance Responsibilities Design, implement, and maintain scalable security solutions using AWS services, including AWS WAF, AWS Shield Advanced, AWS Secrets Manager, Amazon Inspector, Amazon Macie, Amazon GuardDuty, Amazon Detective, AWS CloudTrail, and AWS Security Hub. Managing and troubleshooting Checkpoint firewall. Develop and maintain Infrastructure as … teams to improve Network Defence and Vulnerability Management. Skills required, including - Checkpoint Firewall, Network Defence and Vulnerability Management: AWS KMS, AWS Secrets Manager, AWS API Gateway, AWS WAF, Amazon Inspector, Amazon Macie ,Amazon GuardDuty … AWS CloudTrail, AWS Security Hub, AWS IAM Access Analyzer, AWS Certificate Manager, AWS Codeguru, AWS Config, AWS Audit Manager, AWS Trusted Advisor, Amazon Detective, AWS Shield advanced, EKS, ECR More ❯

AWS CloudFormation, Terraform, or CDK, with a proven track record of automating cloud infrastructure deployments. Advanced knowledge of containerization technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS. Expertise in defining, implementing, and optimizing CI/CD pipelines using tools such as AWS CodePipeline, Jenkins, GitLab, GitHub Actions, and others, applying best practices for More ❯

AWS CloudFormation, Terraform, or CDK, with a proven track record of automating cloud infrastructure deployments. Advanced knowledge of containerization technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS. Expertise in defining, implementing, and optimizing CI/CD pipelines using tools such as AWS CodePipeline, Jenkins, GitLab, GitHub Actions, and others, applying best practices for More ❯

years of experience in AWS cloud infrastructure design, implementation, and management Advanced proficiency with containers and container orchestration tools such as Docker and Kubernetes Extensive background in Configuration Management EKS and Automation Proficient programming skills in at least one language, preferably Python or Go Expert-level experience with Infrastructure as Code tooling such as Ansible, CloudFormation or Terraform Extensive More ❯

years of experience in AWS cloud infrastructure design, implementation, and management Advanced proficiency with containers and container orchestration tools such as Docker and Kubernetes Extensive background in Configuration Management EKS and Automation Proficient programming skills in at least one language, preferably Python or Go Expert-level experience with Infrastructure as Code tooling such as Ansible, CloudFormation or Terraform Extensive More ❯

banking, fintech, or e-commerce domains. Proven track record designing and delivering microservice architectures and API ecosystems using Spring Boot , Node.js , and Python . Deep technical expertise across AWS (EKS, ECS, Lambda, VPC, PrivateLink, CloudWatch, KMS, Aurora) and Kubernetes (Helm, Terraform, Argo CD). Experience with API Gateways such as Kong , ApigeeX , or Istio — including configuration of mTLS, OAuth2 More ❯

banking, fintech, or e-commerce domains. Proven track record designing and delivering microservice architectures and API ecosystems using Spring Boot , Node.js , and Python . Deep technical expertise across AWS (EKS, ECS, Lambda, VPC, PrivateLink, CloudWatch, KMS, Aurora) and Kubernetes (Helm, Terraform, Argo CD). Experience with API Gateways such as Kong , ApigeeX , or Istio — including configuration of mTLS, OAuth2 More ❯

technologies including AI/LLM-based solutions to enhance automation and operational efficiency. Key Skills & Experience Essential: Strong hands-on experience with AWS (EC2, VPC, IAM, S3, ECS/EKS, etc.) Solid understanding of Linux systems administration and troubleshooting Expertise with Kubernetes (deployment, scaling, networking, monitoring) Proficiency in Python for scripting, automation, or tooling development Good understanding of networking More ❯

technologies including AI/LLM-based solutions to enhance automation and operational efficiency. Key Skills & Experience Essential: Strong hands-on experience with AWS (EC2, VPC, IAM, S3, ECS/EKS, etc.) Solid understanding of Linux systems administration and troubleshooting Expertise with Kubernetes (deployment, scaling, networking, monitoring) Proficiency in Python for scripting, automation, or tooling development Good understanding of networking More ❯

in IoT platforms, real-time data processing , or high-scale consumer applications is a significant bonus. Technical Environment Familiarity with cloud-native development on AWS (e.g., Lambda, ECS/EKS, API Gateway, SQS/SNS). Experience integrating application services with CI/CD pipelines and contributing to application monitoring/observability using tools like Prometheus, Grafana, or Datadog. More ❯

in IoT platforms, real-time data processing , or high-scale consumer applications is a significant bonus. Technical Environment Familiarity with cloud-native development on AWS (e.g., Lambda, ECS/EKS, API Gateway, SQS/SNS). Experience integrating application services with CI/CD pipelines and contributing to application monitoring/observability using tools like Prometheus, Grafana, or Datadog. More ❯

Doing: Build and scale backend services using Java and Spring Boot Shape a modern microservices architecture for a high-availability platform Deploy and manage services in AWS with Kubernetes (EKS) Design, implement, and own features end-to-end from discovery to production support Advocate for clean code, automated testing, and CI/CD best practices Mentor other engineers and More ❯

Doing: Build and scale backend services using Java and Spring Boot Shape a modern microservices architecture for a high-availability platform Deploy and manage services in AWS with Kubernetes (EKS) Design, implement, and own features end-to-end from discovery to production support Advocate for clean code, automated testing, and CI/CD best practices Mentor other engineers and More ❯

engineering and autoscaling systems Prior experience building and scaling teams in high-performing environments Confident interacting with technical and trading leadership Core Skills AWS (VPC, IAM, S3, ECS/EKS, Direct Connect, Transit Gateway, CloudFormation) Networking: BGP, OSPF, MPLS, VLANs, VPNs, SD-WAN Firewalls and network security (Cisco ASA, Fortinet or similar) Linux and Windows systems engineering Microsoft services More ❯

engineering and autoscaling systems Prior experience building and scaling teams in high-performing environments Confident interacting with technical and trading leadership Core Skills AWS (VPC, IAM, S3, ECS/EKS, Direct Connect, Transit Gateway, CloudFormation) Networking: BGP, OSPF, MPLS, VLANs, VPNs, SD-WAN Firewalls and network security (Cisco ASA, Fortinet or similar) Linux and Windows systems engineering Microsoft services More ❯

ML services into real-world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to More ❯

ML services into real-world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to More ❯

technical leadership. Key Responsibilities * Pipeline Automation: Build and orchestrate data workflows using tools like Airflow, Prefect, or Dagster. * Containerization: Package and deploy data applications using Docker and Kubernetes (including EKS and AKS). * CI/CD for Data: Implement and maintain automated pipelines for data applications. * Monitoring & Observability: Deploy solutions using Grafana, Prometheus, and other tools to ensure data More ❯

AI features (streaming responses, structured outputs, eval hooks) to accelerate prototyping and user value. 25% Scale & operate Ship and run services on AWS and/or GCP (ECS/EKS/Lambda or Cloud Run/GKE), containerized with Docker. Own CI/CD (GitHub Actions), IaC (Terraform), logging/metrics/tracing ( OpenTelemetry , CloudWatch/Stackdriver, Grafana/ More ❯

compute, networking, storage, and security. Hands-on expertise with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools. Experience designing and implementing containerised solutions (Docker, Kubernetes, ECS/EKS). Strong stakeholder management and communication skills. AWS certifications at Professional level highly desirable. Why Join? This role offers the chance to work on complex, large-scale cloud transformation More ❯

compute, networking, storage, and security. Hands-on expertise with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools. Experience designing and implementing containerised solutions (Docker, Kubernetes, ECS/EKS). Strong stakeholder management and communication skills. AWS certifications at Professional level highly desirable. Why Join? This role offers the chance to work on complex, large-scale cloud transformation More ❯

in Site Reliability, Infrastructure, or Platform Engineering within production environments Solid experience working with AWS and hybrid infrastructure Proven ability to manage Kubernetes clusters at scale (on-prem or EKS), including configuration and performance tuning Proficiency in Python, Go, or another programming language, with a willingness to code daily Strong Linux engineering skills - comfortable with system internals, troubleshooting, and More ❯

in Site Reliability, Infrastructure, or Platform Engineering within production environments Solid experience working with AWS and hybrid infrastructure Proven ability to manage Kubernetes clusters at scale (on-prem or EKS), including configuration and performance tuning Proficiency in Python, Go, or another programming language, with a willingness to code daily Strong Linux engineering skills - comfortable with system internals, troubleshooting, and More ❯

new tools, and help define best practices in platform engineering. Tech Stack AWS (Core Services – EC2, RDS, S3, IAM, Lambda, CloudWatch) Infrastructure as Code: Terraform Containerisation & Orchestration: Docker, Kubernetes (EKS), Helm Configuration Management: Ansible CI/CD Pipelines: GitHub Actions Monitoring & Observability: Grafana, Prometheus Scripting/Automation: Python or Java What We’re Looking For Proven experience managing and … scaling AWS cloud environments , ideally supporting live software products or high-traffic platforms. Strong background in Terraform and Infrastructure as Code best practices. Practical experience with Kubernetes (EKS) in production. Familiarity with monitoring and observability tools such as Grafana and Prometheus. Hands-on experience building CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, etc.). Solid scripting and automation More ❯