51 to 75 of 99 Amazon ECS Jobs in the UK

maintain security and compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture More ❯

maintain security and compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture More ❯

maintain security and compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture More ❯

maintain security and compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture More ❯

maintain security and compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture More ❯

maintain security and compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture More ❯

software engineering background, able to define and communicate complex architectural concepts to non-technical stakeholders Tech Stack AWS/TypeScript/React/Node.js/Terraform IaC Kubernetes/ECS/Docker DocumentDB Limited PHP Interview Process This will be a three-stage interview process, comprising an initial informal call with the hiring manager, followed by two structured interviews. More ❯

with GraphQL Thorough understanding of CI/CD pipelines Practices Test Driven Development and is comfortable with various test frameworks and concepts. Familiarisation with containerisation and tools like Docker, ECS or Kubernetes Experience of developing, deploying, and maintaining Cloud-Based solutions on AWS Understand the principles behind what makes a high performing web page Experience of Drupal CMS would More ❯

provisioning, configuration, and deployment within a highly secure environment. Collaborate as part of a multi-disciplined Agile/Scrum team. Key Technologies Cloud & Infrastructure : AWS CloudFormation, Amazon ECS, Docker, Kubernetes Automation & CI/CD : CI/CD automation (ideally DroneCI), Git (GitHub or GitLab), Ansible Scripting & Administration : Advanced Linux administration and scripting (e.g., Bash) Security : Strong knowledge More ❯

application and infrastructure provisioning, configuration and deployment within a highly secure environment • Work as part of a multi-disciplined Agile/Scrum team Technologies : AWS Cloudformation Amazon ECS Docker Kubernetes CI/CD automation (ideally DroneCI) Git (e.g. GitHub or GitLab) advanced Linux administration and scripting (e.g. Bash) Ansible Good knowledge of security best practises and experience More ❯

with GraphQL Thorough understanding of CI/CD pipelines Practices Test Driven Development and is comfortable with various test frameworks and concepts. Familiarisation with containerisation and tools like Docker, ECS or Kubernetes Experience of developing, deploying, and maintaining Cloud-Based solutions on AWS Understand the principles behind what makes a high performing web page Experience of Drupal CMS would More ❯

onsite every week is mandatory Responsibilities Develop backend applications built on the principles of Event Driven Micro Services Architecture. Required skills Python AWS - SNS/SQS Lambda Step Functions ECS Spinnaker Kubernetes Kafka Terraform ORM frameworks Nice to have Pyspark and Databricks experience is a plus. Knowledge and experience in the JPM morgan ecosystem/tools will carry higher More ❯

work with the organisation's existing team to support the delivery of one of the organisation's key strategic initiatives. Experience required: AWS Data/ML Engineering & ML Ops (ECS, Sagemaker) CI/CD pipelines (GitLab, Jenkins) Python, PySpark & Big Data ecosystems AI/ML lifecycle, deployment & monitoring MLOps tooling (MLflow, Airflow, Docker, Kubernetes) Front-end exposure (HTML, Flask More ❯

in your squad, supporting their growth, career development, and wellbeing, and helping shape the future team through recruitment and onboarding. Required Skills - * We're primarily using AWS, utilising Lambda, ECS, SQS, API Gateway among others. Our database engine is MongoDB and our observability platform is Datadog. Our application is written in Typescript/NodeJS and our infrastructure is defined More ❯

in your squad, supporting their growth, career development, and wellbeing, and helping shape the future team through recruitment and onboarding. Required Skills - * We're primarily using AWS, utilising Lambda, ECS, SQS, API Gateway among others. Our database engine is MongoDB and our observability platform is Datadog. Our application is written in Typescript/NodeJS and our infrastructure is defined More ❯

work on cutting-edge machine learning and data engineering projects, leveraging the latest cloud technologies and MLOps practices. Required/Primary Skills: AWS Data Engineering ML Engineering ML-Ops ECS, Sagemaker Gitlab Jenkins CI/CD AI Lifecycle Experience in front-end development (HTML, Stream-lit, Flask Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding More ❯

automation. This is your chance to innovate, lead, and leave your mark Key Responsibilities: Infrastructure Automation Design, implement, and manage highly available, scalable, and secure cloud infrastructure on Amazon Web Services (AWS … using Infrastructure as Code (IaC) principles (e.g., Terraform, CloudFormation). Lead the development of reusable Terraform modules and Packer images. Deep expertise in core AWS services such as EC2, ECS/EKS, Lambda, VPC, S3, RDS, DynamoDB, SQS, SNS, CloudWatch, CloudTrail, IAM, KMS, etc. CI/CD Pipeline Development & Management Implement strategies for continuous integration, continuous delivery, and continuous … AWS. Proven experience building and maintaining robust CI/CD pipelines from scratch and optimizing existing ones. Solid understanding of containerization technologies (Docker) and orchestration (Kubernetes/EKS/ECS). Strong understanding of networking concepts (TCP/IP, DNS, VPN, Load Balancing) and security best practices in the cloud. Excellent written, verbal, communication and presentation skills with the More ❯

Information Security and Cloud Security Engineering , with proven expertise in securing AWS environments (IAM, networking, storage, and compute). Hands-on experience with networking, infrastructure, and container security (EKS, ECS, Kubernetes) across both cloud and on-premises environments. Strong understanding of security principles, technologies, and industry best practices , including vulnerability and incident management. Practical experience with security monitoring and More ❯

Hiring for a Data Engineer for FS domain with Machine learning and MLOps background and proficiency in Python. YOUR PROFILE Primary Skill: AWS Data Engineering, ML Engineering, ML-Ops, ECS, Sagemaker, Gitlab, Jenkins, CI/CD, AI Lifecycle, Experience in front-end development (HTML, Stream-lit, Flask.) Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding More ❯

Hiring for a Data Engineer for FS domain with Machine learning and MLOps background and proficiency in Python. YOUR PROFILE Primary Skill: AWS Data Engineering, ML Engineering, ML-Ops, ECS, Sagemaker, Gitlab, Jenkins, CI/CD, AI Lifecycle, Experience in front-end development (HTML, Stream-lit, Flask.) Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding More ❯

Hiring for a Data Engineer for FS domain with Machine learning and MLOps background and proficiency in Python. YOUR PROFILE Primary Skill: AWS Data Engineering, ML Engineering, ML-Ops, ECS, Sagemaker, Gitlab, Jenkins, CI/CD, AI Lifecycle, Experience in front-end development (HTML, Stream-lit, Flask.) Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding More ❯

Hiring for a Data Engineer for FS domain with Machine learning and MLOps background and proficiency in Python. YOUR PROFILE Primary Skill: AWS Data Engineering, ML Engineering, ML-Ops, ECS, Sagemaker, Gitlab, Jenkins, CI/CD, AI Lifecycle, Experience in front-end development (HTML, Stream-lit, Flask.) Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding More ❯

and RSG. - Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow) - Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS) - Strong background in deploying models via APIs, containers, or cloud-native services - Proven track record delivering production-grade AI solutions in complex, data-rich environments - Skilled in setting team More ❯

and RSG. - Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow) - Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS) - Strong background in deploying models via APIs, containers, or cloud-native services - Proven track record delivering production-grade AI solutions in complex, data-rich environments - Skilled in setting team More ❯

and RSG. - Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow) - Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS) - Strong background in deploying models via APIs, containers, or cloud-native services - Proven track record delivering production-grade AI solutions in complex, data-rich environments - Skilled in setting team More ❯