21 of 21 Remote Amazon S3 Jobs in the Thames Valley

Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core AWS services: i.e. EC2/ECS, RDS, S3 Experience using DataDog or similar observability tools Knowledge of containerisation: Docker, Kubernetes, AWS Fargate etc Any experience of front-end or fullstack development using TypeScript & React Experience building software More ❯

/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR More ❯

with the ability to translate 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 annual leave + bank holidays More ❯

with the ability to translate 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 annual leave + bank holidays More ❯

Compiler Passes, Bundles, Console Excellent knowledge and experience of developing horizontally scaling and highly available solutions Excellent knowledge and experience with AWS services such as SQS, Step Functions, Kinesis, S3, DynamoDB, Lambda, EC2, Auto-Scaling Experience designing APIs and workflows for Lambda functions with strict per-call timeouts Experience using Serverless Framework or alternatively ECS Excellent SQL knowledge especially More ❯

secure cloud solutions that power this cutting-edge e-commerce platform. Your expertise will ensure seamless, reliable, and secure experiences for customers. Hands-on experience with AWS services (ECS, S3, RDS, Lambda, CloudFront, etc.). Proficiency with monitoring tools like DataDog, CloudWatch, and Grafana. Experience with Docker, ECS, Kubernetes, or similar containerisation technologies. Knowledge of scripting languages such as More ❯

services into real-world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG More ❯

and technical excellence. Your Profile Essential skills/knowledge/experience: Deep hands-on experience with AWS Cloud-native data platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and More ❯

applications using AWS Lambda (Node.js/TypeScript) . Build and manage robust CI/CD pipelines using GitHub Actions to automate deployments. Support and enhance services within the Amazon Connect ecosystem and related AI models. Contribute to the entire development lifecycle, from concept to deployment and operational support. Troubleshoot and optimise the performance of AWS-hosted services. Ensure … your application. Excellent troubleshooting skills and a proactive problem-solving mindset. Outstanding communication skills (oral, written, presentation). Nice-to-Have Skills: Experience with other core AWS services: Route53, S3, EC2, ECS, VPC, IAM, DynamoDB, CloudFront . Infrastructure as Code (IaC) using Terraform or CloudFormation. Experience with Jenkins, Git (Gitflow), Docker, and monitoring tools like CloudWatch or DataDog . More ❯

and/or Kafka) Observability stacks (OpenTelemetry, Prometheus, Loki, alerting/runbooks) Multi-region resilience (traffic steering, failover, DR testing) Data & storage (PostgreSQL/Distributed SQL, object storage/S3, caching/Redis) Identity & trust (OIDC/OAuth2, DID/VC, signing flows) Tokens & wallets (custody patterns, fee engines, ledger adapters for BSV/EVM/others) Requirements Must More ❯

and state management Collaborate on backend APIs (REST or GraphQL) and integrate secure authentication methods - JWT, OAuth Deploy and manage cloud infrastructure and services on AWS, including Lambda, DynamoDB, S3, AppSync Support CI/CD pipelines and ensure high-quality, monitored deployments What you bring 5+ years of professional software development experience 3+ years hands-on React Native and More ❯

operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management skills More ❯

full stack development: Javascript (React/Angular), Node.js or Java/.NET/Python and SQL Hands-on experience with AWS architecture and services (Glue, Lambda, API gateway, IAM, S3, CloudWatch etc.) Prior experience working in the Asset Management, Investment Banking or Wealth Management Desirable: Knowledge of front office platform and workflows: OMS, PMS and risk engines (note this More ❯

and account management (Auth0) Integrate 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 deployment (Bitbucket Pipelines) Create API More ❯

or slow data pipelines and queries. Systems integration experience: networking, data migrations, API integration and design. Enthusiasm for clean systems, including documentation, logging, and reproducibility. Experience working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Familiar with analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Passion for TDD. More ❯

Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. More ❯

developers on testing and backend improvements Progress from operations to product-focused work within 6 months You have: 2-3 years in systems/support roles AWS experience (EC2, S3, IAM) Linux fundamentals and basic scripting (Bash/Python) Troubleshooting skills for networking and deployments What's in it for you: Clear progression path into senior systems/platform More ❯

developers on testing and backend improvements Progress from operations to product-focused work within 6 months You have: 2-3 years in systems/support roles AWS experience (EC2, S3, IAM) Linux fundamentals and basic scripting (Bash/Python) Troubleshooting skills for networking and deployments What's in it for you: Clear progression path into senior systems/platform More ❯

/CD pipelines, and automation working closely with development and R&D teams to improve reliability and scalability across production systems.You’ll get hands-on with AWS services (EC2, S3, RDS, IAM, CloudWatch), infrastructure automation (Terraform, Bash, Python), and continuous integration tools, with opportunities to contribute to new deployments and cloud-native initiatives. To secure the role, you’ll … need: Strong knowledge of AWS (EC2, S3, IAM, RDS, CloudWatch) Confident working in a Linux environment Scripting (Bash, Python) Experience in automation and CI/CD practices Good problem-solving mindset and clear communication skills Keen interest in secure cloud environments, SaaS, and DevOps culture This is a great opportunity if you’re early in your DevOps journey and More ❯

deep, lasting impact on both the product and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop … progression Are a hands-on leader who can both build and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity More ❯

gather requirements and translate them into compelling data stories. Cleanse, profile, and model data using SQL, DBT, and Snowflake. Contribute to projects involving cloud data infrastructure (AWS preferred, especially S3; experience with other platforms also valued). Support the evolution of data processes - potential to get involved in broader SQL, DBT, and AWS financial data projects. What we’re … profile. Advanced SQL skills; hands-on experience with Snowflake and DBT is a plus. Experience working with large datasets and performing data profiling and cleansing. Familiarity with AWS (especially S3; Lambda less important), or similar cloud platforms. Experience with IT asset management is a bonus. Excellent communication skills - able to engage confidently with stakeholders at all levels. Ability to More ❯