11 of 11 Remote Amazon S3 Jobs in Central London

technical outcomes into business impact. Tech Environment Languages: Python, TypeScript, Java AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG) Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker Databases: PostgreSQL, MySQL, Redis, vector databases DevOps: GitHub, CI/CD pipelines Why Join Competitive salary and comprehensive benefits package 25 days ...

month in office based in Stratford) Key Skills and Responsibilities: Design, deliver, and support secure and scalable AWS infrastructure using services like EC2, S3, ECS, and FARGATE Integrate SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) tools into CI/CD pipelines to enforce secure development ...

innovating with cutting-edge innovation and leadership? We're on the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster ...

Customer Engineer) Production experience with AWS infrastructure, data services, and real-time data processing Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, DynamoDB) Skilled in AWS analytics tools (Glue, Athena, Redshift, EMR, Kinesis, MSK, QuickSight, dbt) Understanding of information security best ...

equivalent distributed event store and stream-processing platform. Experience working with Redis or equivalent in memory storage. Experience working with AWS k8s, EKS, S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Experience with concurrent development source control (GIT). Systems integration experience with networking, data migrations, API integration and design. ...

error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations … performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven and decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval ...

with strong error handling and retry logic. Develop incremental data processing patterns for large-scale datasets. Work with AWS services including Glue, Step Functions, S3, DynamoDB, Redshift, Lambda, and EventBridge. Build and optimise vector database solutions and embedding generation pipelines for semantic search. Implement document processing workflows (PDF parsing ...

payment processing and subscription management (Stripe) Design and manage user databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application ...

software delivery, continuous integration, and continuous deployment (CI/CD). Develop and maintain scalable and efficient infrastructure using AWS services such as EC2, S3, RDS, and CloudFormation. Deploy and manage containerized applications using Kubernetes for orchestration and management. Implement and maintain infrastructure as code using tools like Terraform … best practices. Requirements: Proven experience as a Senior DevOps Engineer or similar role. Strong knowledge of Amazon Web Services (AWS), including EC2, S3, RDS, CloudFormation, and IAM. Extensive Kubernetes experience - live/in-production Kubernetes specifically. Proficiency in infrastructure as code tools such as Terraform, Ansible ...

EKS clusters . Deep understanding of Kubernetes fundamentals (pods, deployments, services, networking, ingress, secrets). Experience with AWS core services: EC2, VPC, IAM, S3, RDS, Route 53, CloudWatch, Lambda, and others. Strong networking fundamentals (DNS, TLS, VPNs, VPC routing, load balancing). Proficiency with Git, CI/ ...

familiarity with multi-drop, time windows, packing rules. Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts. Cloud & delivery awareness: AWS (S3, ECS/Lambda, SNS/SQS), Docker, CI/CD (GitHub Actions), SQL/Postgres. TypeScript fluency: Able to read TS and collaborate … data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process 30-min intro (role, your goals) Python ...