26 to 35 of 35 Amazon ECS Jobs in London

experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software ...

Work With Backend: Python, PostgreSQL, BigQuery, MySQL Frontend: TypeScript, React, styled-components Testing: Jest, React Testing Library, Cypress, pytest Cloud & DevOps: AWS, GCP, ECS Fargate, Docker, Terraform, GitHub Actions You don’t need expertise in every item — they value capability, curiosity, and the ability to learn. How the Teams ...

with some of the following, or be open to learning: JavaScript: React, Node, Jest, Cypress Ruby (non-Rails environment) – nice to have AWS: EC2, ECS, Lambda, S3, SQS Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues A strong ...

technical stack includes: Languages & Frameworks: JavaScript/TypeScript React (web apps) React Native (mobile apps) with Expo Node.js Backend & Cloud: AWS (Lambda, DynamoDB, ECS, S3, API Gateway) Azure AD (authentication and identity management) Google Cloud Platform & Firebase (used selectively for mobile features) GitHub/GitHub Actions for CI/ ...

start-up environment. Proven track record in building and maintaining production systems with: TypeScript(Node.js and/or modern frontend frameworks) PostgreSQL AWS services(ECS, RDS, S3) Strong grounding in software design principles and architectural patterns. Demonstrated ability to improve workflows, coding standards, or delivery processes. Excellent written ...

should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure ...

should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure ...

tooling Binary and Artifact Management: Nexus Observability: New Relic (Log Ingestion, Application Performance Monitoring, Infrastructure Monitoring) Cloud Computing: Amazon Web Services (ECR, ECS, Bedrock, Fargate, Lambda, Route 53......), Google Cloud Platform, Amazon Azure Database: MongoDB Atlas, AWS Aurora Postgres Message Broker: Confluent Kafka Web Application ...

Role 5+ years of experience building scalable high volume low latency backend services Proficiency in our tech stack — Python, TypeScript (backend), AWS (CDK/ECS/Step Functions/Lambda/S3) Familiarity with code versioning tools, such as GitHub Ability to engage, learn and contribute quickly … remedy defects and follow through to production Nice to Have Traits for This Role Experience and knowledge within the navigation domain Experience with Amazon Elasticache Experience with SQL Experience with Big Data/ML Experience with various security standards and associated technical knowledge What We Value In addition ...

challenging datasets, delivering reliable, scalable, and observable solutions. What you’ll do Deploy ML and LLM models into AWS production environments (SageMaker, Bedrock, Lambda, ECS, API Gateway) Design and maintain scalable data pipelines for training, validation, deployment, and monitoring Ensure data quality and reliability across multiple sources, including structured … workflows Must-have Senior experience deploying ML or LLM models in production Strong Python engineering skills (FastAPI or similar frameworks) AWS experience: SageMaker, Lambda, ECS, or serverless pipelines Comfortable working with complex datasets and robust data pipelines CI/CD, monitoring, and observability for ML pipelines Strong problem-solving ...