226 to 232 of 232 Remote/Hybrid Amazon S3 Jobs

design, migrations, query optimization, index behavior and transaction isolation (MariaDB/MySQL, SQLite) AWS in production, not just in theory: Lambda, SQS, SNS, DynamoDB, S3, Secrets Manager, CloudWatch — able to debug a live issue from the logs Distributed systems instincts: retries, idempotency, eventual consistency, reconciling two systems that … knowledge, enough to finish a feature through the dashboard Comfort reading legacy code (C++, Visual Basic) AI‐assisted development experience (Claude Code, Amazon Q or similar) as everyday practice Maritime, satellite comms, or other bandwidth‐constrained domain background We'd rather fix the cause than elevate the symptom. ...

delivery through to operational support and incident management. Our core platform is built on AWS serverless technologies including Lambda, SQS, EventBridge, API Gateway, S3, and ECS. We primarily develop in TypeScript and Node.js, with MongoDB as our primary document database. We also have a small number of C# services … Willing to be on‐call for your services. Core Technical Skills You Must Have Strong commercial experience with Node.js, specifically TypeScript Experience with Amazon Web Services Experience with Serverless products Experience with document databases, ideally MongoDB Experience mentoring engineers Experience leading technical delivery in a build ...

architecture, design, and delivery of enterprise-scale generative AI solutions on AWS. Translate business problems into secure, scalable, production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across … Your Skills:*** Experience designing cloud-native GenAI architectures using AWS services such as Bedrock, Lambda, SageMaker, OpenSearch, ECS/EKS, API Gateway, Step Functions, S3, IAM, KMS, and CloudWatch* Knowledge of scalable, secure, event-driven, and distributed system architectures* Experience integrating structured and unstructured enterprise data sources* Experience with ...

modern technology stack which includes React, Node.js and Typescript Experience with the AWS services such as Amazon Cognito, DynamoDB Lambda, S3, Eventbridge, AppSync, API Gateway and SQS Experience using Serverless stack to build and deploy serverless applications into AWS cloud Exceptional communication skills within the team ...

shared standards Core Technical Skills Data Warehouse Transformation dbt (data build tool) – modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS – S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS … analytics, reporting, data sharing Oracle DB Migration strategy, data contracts, schema versioning Redis Cache invalidation, persistence strategy, data consistency MongoDB TimescaleDB NATS JetStream AWS S3/Glue Data lake staging, archival, batch ingestion into Snowflake Partitioning, file format (Parquet/ORC), Lake Formation governance Finance Domain Knowledge Candidates should ...

Software Development Engineer - Amazon Connect-Node.JS- Typescript-Go-AWS Location: Nottingham Hybrid Working Pattern: 3 days in-office About the role The successful candidate will be enabling a busy and thriving contact centre across voice and chat channels, while delivering on its own platform roadmap and ensuring … Node/TypeScript or Go for your primary software development. AWS Serverless Ecosystem, using services such as Lambda, API Gateway, DynamoDB, and S3. Amazon Connect. Jenkins for infrastructure as code and CI/CD pipeline management. Monitoring & Logging tools to troubleshoot problems in a distributed network of systems ...

containerized ML/AI workloads: image distribution, runtime startup, weight loading, inference hot path. Design and tune the storage layer that sits between S3-compatible object stores and GPU nodes - prefetchers, caching tiers, network filesystems and local NVMe layouts. Drive measurable wins on time-to-first-token, training step … measurably faster. Strong grasp of Linux storage and container runtime internals. Hands-on experience with at least one distributed or network filesystem and with S3-compatible object storage - including performance-killing cases (small-object overhead, range-request patterns, eventual consistency, multipart tuning). Comfort with model-serving runtimes (vLLM ...