10 of 10 Remote Amazon ECS Jobs in the City of London

You'll shape infrastructure strategy, drive automation, and strengthen CI/CD practices to keep our technology reliable and scalable. Required Technical Skills 5+ years AWS experience (VPC, EC2, ECS, EKS, EFS, S3, Workspaces, Security Groups, CloudWatch/CloudTrail, IAM). Strong containerization expertise (Docker or similar). Scripting and automation with Python or Bash. Modern CI/CD More ❯

You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Conducting code reviews, mentoring through pair programming. Building APIs, integrating with microservices, or contributing to backend systems — not just data pipelines or data modelling. Tools like More ❯

You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Conducting code reviews, mentoring through pair programming. Building APIs, integrating with microservices, or contributing to backend systems — not just data pipelines or data modelling. Tools like More ❯

Structure You will report to The Global Head of Engineering for Backend Services (technical reporting line) The Managing Director of UK (operational reporting line) Skills & Experiences AWS Technologies (e.g. ECS, DynamoDB, Lambda, Aurora, SQS, SNS, VPC, Private Link, etc.) Multi-threading & Socket Programming: Java + Spring Applications Typescript and Node.js Applications Architectures - Event Sourcing, CQRS, Polyglot Database, Traditional OLTP More ❯

Structure You will report to The Global Head of Engineering for Backend Services (technical reporting line) The Managing Director of UK (operational reporting line) Skills & Experiences AWS Technologies (e.g. ECS, DynamoDB, Lambda, Aurora, SQS, SNS, VPC, Private Link, etc.) Multi-threading & Socket Programming: Java + Spring Applications Typescript and Node.js Applications Architectures - Event Sourcing, CQRS, Polyglot Database, Traditional OLTP More ❯

Engineers etc, is also required. To be considered for this opening, the following experience is required: Hands-On: Cloud experience with AWS and AWS Services Containerisation/Orchestration with ECS, Docker and/or Kubernetes Strong Infrastructure as Code experience with Terraform History of working across CI/CD, with Jenkins, GitLab, GitHub Actions (or equivalent) History of scaling More ❯

for robustness, automation, and reliability Collaborate with cross-functional teams including research and product Contribute to infrastructure setup and CI/CD best practices Tech Stack Python AWS (Lambda, ECS, CloudFormation, S3) GitHub Actions (CI/CD) Vue.js (optional frontend involvement) Requirements 2+ years’ experience as a Data Engineer or Backend Engineer Proficiency in Python and cloud-based development 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 ❯

AI features, like data classification, anomaly detection, etc. Our stack includes TypeScript (Node.js) for backend services, GraphQL, Postgres, and React/TypeScript on the frontend. We deploy to AWS ECS Fargate using GitHub Actions and Terraform continuously releasing to production. AI is a big part of our product, so a strong background here would be advantageous. WHAT WE'RE More ❯

AWS Skillset Delivery experience Building solutions in snowflake implementing data warehousing solutions using Snowflake and AWS Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data … strongly preferred for data processing, automation, and pipeline development AWS or Snowflake certifications are a plus Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data More ❯