7 of 7 AWS Fargate Jobs in London

Your responsibilities: Design and develop web applications using Java (latest versions), Spring Boot, and AWS technologies. Architect and implement RESTful APIs for distributed enterprise-grade systems. Develop robust, scalable, and high-performance microservices leveraging Spring Boot and modern design patterns. Integrate and manage AWS services such … native deployments. Build and optimize multithreaded and concurrent applications, ensuring thread safety and performance. Implement CI/CD pipelines using Jenkins, GitHub Actions, or AWS CodePipeline for automated deployments. Containerize applications with Docker and orchestrate using Kubernetes for scalability and resilience. Integrate Kafka for event-driven architecture and real ...

build secure, scalable cloud infrastructure within a fast-paced, regulated environment? We're hiring a hands-on engineer to design, implement and optimise AWS-based platforms, working closely with architecture and security teams in a hybrid London setup. What You'll Do Design and manage AWS cloud architecture … Build infrastructure as code using Terraform Develop and maintain CI/CD pipelines (Jenkins, GitHub, CircleCI) Manage containerised environments (Docker, Kubernetes, AWS Fargate) Embed security tooling (WAF, IDS, IPS, SIEM) Troubleshoot and optimise cloud infrastructure Required Experience 3-5 years as a Platform Engineer Strong AWS ...

Senior Backend Engineer/Head of Backend Development (Python/AWS) Fintech | NYC (Remote) | No C2C | Full-time role Compensation : £100,000–£160,000 (negotiable for star talent upon tech test) We are working with a well-funded fintech platform transforming how complex financial data flows across global markets. … environment demands production-grade reliability, security, and performance aligned to the expectations of tier-one financial institutions. You will primarily work in Python and AWS, building robust APIs and scalable data pipelines. This is not simply CRUD API development; it involves architecting high-trust systems with strong multi-tenant ...

maintaining ML workflows or pipelines. Strong Python skills and experience with tools like MLflow, Scikit-learn, or PyTorch. Familiarity with cloud platforms (especially Azure, AWS). Good understanding of containerisation (Docker) and orchestration (e.g. Kubernetes). Exposure to CI/CD tools (GitHub Actions, Azure DevOps) and infrastructure … code (Terraform). Collaborative team player with excellent communication skills. Technical Stack: Languages: Python (primary), SQL, Bash Cloud: Azure, AWS Tools: MLflow, Azure ML, Airflow, Docker, Fargate, FastAPI Data: Snowflake, Delta Lake, Redis, Azure Data Lake Infra & Ops: Terraform, GitHub Actions, Azure DevOps, Grafana, Azure Monitor Desirable skills ...

testability perspective Participating in architecture discussions with a quality lens Our Client's Tech Stack (Context) Backend: Python 3.11+, FastAPI Frontend: TypeScript, React Infra: AWS (ECS/Fargate, S3, RDS, CloudFront) Data: PostgreSQL, CSV/Parquet CI/CD: GitLab CI IaC: Terraform Testing: Pytest, Postman/Newman …/CD pipelines Experience testing data-heavy or file-based workflows Exposure to regulated environments (fintech, banking, healthcare) Understanding of cloud-based architectures (AWS) What You’ll Like at our Client QA treated as an engineering discipline Early involvement in design and architecture No “throw it over the wall ...

post-mortems Improve resilience: Rate limiting, circuit breakers, idempotency, retries/backoff, event replay strategies, feature flags, safe deployments Work deeply with DevOps on AWS infrastructure, performance, and reliability: Containerised deployments, networking/security boundaries, secrets, scaling, environment management Own cost/performance trade-offs: Cloud cost monitoring … cross-platform mobile. Our AI/optimisation modules are a deliberate “best tool for the job” exception, implemented in Python We run on AWS, using ECS with Fargate (multi-AZ) for containerised services AWS CodePipeline for CI/CD across multiple environments Must-Have Experience 10+ years ...

advanced data solutions that support the future data strategy of the organisation. You will harness modern technologies including Data Vault, Snowflake, DBT, Airflow and AWS/Azure to shape scalable, future-proof data architectures. In this role, you will be responsible for defining, owning and governing data models across … ability to translate business requirements into effective data architecture solutions. Experience working with or supporting cloud migrations. Languages: Python (primary), SQL, Bash Cloud: Azure, AWS Tools: Airflow, DBT, Docker, Fargate, FastAPI Data Platforms: Snowflake, Delta Lake, Redis, Azure Data Lake Infrastructure and Operations: Terraform, GitHub Actions, Azure DevOps ...