15 of 15 DemandTrendContract Amazon S3 Jobs in London

Developed Vetting) – must be valid . Proven experience as a Technical Architect or Lead Engineer in secure environments. Strong hands-on experience with Python and AWS (e.g., Lambda, ECS, S3, IAM). Familiarity with Infrastructure as Code (Terraform, CloudFormation). Experience with CI/CD pipelines, DevSecOps, and Agile delivery Background in defence, intelligence, or national security projects Experience More ❯

support Essential Skills & Experience: CI/CD Terraform Kafka Kubernetes (plus experience migrating away from Kubernetes to serverless) GitLab GitHub Actions (and ideally GitHub Enterprise) AWS services: Lambda, CloudWatch, S3, IAM, Athena, RDS Strong stakeholder management and communication skills Desirable Skills: FinOps Testing Cybersecurity Experience working as the sole DevOps Engineer on a project Reasonable Adjustments: Respect and equality More ❯

the system components Essential Skills: Significant commercial experience with the following technology: * Java 17+ * Spring boot microservices * Data modelling and SQL development, ideally PostgreSQL * REST APIs * AWS, AWS Lambda, S3, Typescript * Modern DevOps and CI/CD practices including deployment pipelines Details:- 6 month contract Remote role (with very occasional office attendance, average 1 day every 6 months More ❯

consultant who is willing to engage with clients, learn domain knowledge, be proactive and curious in addition to standard tech would be ideal for the role. Tech Stack: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL), Glue, Glue Data Catalog Python Current frontend is Tableau but experience with any of them will be interchangeable DevOps experience a More ❯

practices. A solid understanding of networking protocols and concepts (TCP/IP, DNS, SSL/TLS, routing, etc.). Proficient with AWS services including EC2, ELB, VPC, IAM, CloudWatch, S3,VPC Lattice, Transit Gateway, VPN and more. Practical knowledge of DevOps tools: Git, Jenkins, Docker, Ansible, Terraform. Strong scripting skills (Bash, Python, or equivalent). Candidates must be eligible More ❯

Lambda, DynamoDB, Kinesis, API Gateway, CloudWatch, and X-Ray. Experience with event-driven systems and frameworks such as ActiveMQ, Kafka, or AWS Kinesis. Knowledge of AWS data pipelines, Glue, S3, Glacier, and data transfer tools such as DataSync. Familiarity with containerisation technologies (e.g. Docker) and strong exposure to microservices-based development patterns. If you are interested in this opportunity More ❯

modern Python features (asyncio, type hints, context managers) Deep experience using AWS SDKs in both Python (boto3) and Go (aws-sdk-go-v2) to: Interact with services like EC2, S3, IAM, CloudWatch, and Lambda. Experience with pytest, unittest, and mocking tools (unittest.mock, responses). More ❯

and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control and CI/CD tools like Git and GitHub Actions Confident working independently and taking ownership of problems and solutions Comfortable More ❯

improvement. Participate in sprint planning, technical design sessions, and architectural reviews. Required Skills & Experience Strong proficiency in React. Deep experience with AWS services such as Lambda, API Gateway, DynamoDB, S3, and CloudFormation. Solid understanding of TypeScript, Node.js, and RESTful API design. Familiarity with DevOps practices and tools (e.g., GitHub Actions, Terraform, CloudWatch). Experience working in Agile environments and More ❯

improvement. Participate in sprint planning, technical design sessions, and architectural reviews. Required Skills & Experience Strong proficiency in React. Deep experience with AWS services such as Lambda, API Gateway, DynamoDB, S3, and CloudFormation. Solid understanding of TypeScript, Node.js, and RESTful API design. Familiarity with DevOps practices and tools (e.g., GitHub Actions, Terraform, CloudWatch). Experience working in Agile environments and More ❯

scalable data pipelines for ingestion, transformation, enrichment, and publication. Integrate AI/ML workflows, including training data pipelines and inference outputs. Lead AWS-based data engineering using services like S3, Lambda, Glue, and Athena. Ensure interoperability with global research infrastructures (e.g. DiSSCo UK, RECODE, DToL). Define best practices in data quality, metadata, and reproducibility. Collaborate with cross-functional More ❯

driven tools and workflows. · Build and integrate modular AI agents capable of real-world task execution in cloud-native environments. · Utilize AWS services such as Lambda, Step Functions, Bedrock, S3, ECS/Fargate, DynamoDB, and API Gateway to support scalable, serverless infrastructure. · Write production-grade Python code, following best practices in software design, testing, and documentation. · Build robust CI … track record with LangGraph, LangChain, or similar orchestration frameworks. · Expert in Python (asyncio, FastAPI preferred). · Hands-on experience building and deploying applications on AWS, particularly using Lambda, Fargate, S3, Step Functions, and DynamoDB. · Familiarity with AWS Bedrock is a plus. · Strong understanding of agentic patterns, prompt chaining, tool calling, and memory/state management in LLM applications. · Solid More ❯

join a multi-disciplinary team working to redefine how performance is measured and managed across a large, national directorate. The team has already delivered an MVP dashboard using Amazon QuickSight, now in active use and is moving into an exciting rebuild phase with a fully automated, code-first approach. This is more than a dashboard project - it's … in Python and SQL Experience with dbt and strong understanding of data modelling (e.g., star schema) Proficient with orchestration tools such as Airflow Comfortable working with AWS services (Glue, S3, etc.) or similar cloud platforms Experience with Git, GitHub Actions and CI/CD workflows Confident engaging stakeholders to shape technical solutions around real-world needs Comfortable iterating based More ❯

ingestion processes from APIs and internal systems, leveraging tools such as Kafka, Spark, or AWS-native services. Cloud Data Platforms - Develop and maintain data lakes and warehouses (e.g., AWS S3, Redshift). Data Quality & Governance - Implement automated validation, testing, and monitoring for data integrity. Performance & Troubleshooting - Monitor workflows, enhance logging/alerting, and fine-tune performance. Data Modelling - Handle … IAM), and GDPR-aligned data practices. Technical Skills & Experience Proficient in Python and SQL for data processing. Solid experience with Apache Airflow - writing and configuring DAGs. Strong AWS skills (S3, Redshift, etc.). Big data experience with Apache Spark. Knowledge of data modelling, schema design, and partitioning. Understanding of batch and streaming data architectures (e.g., Kafka). Experience with More ❯

costs. ? Guide engineering teams on choosing the right execution strategies across AWS, GCP, and Azure. ? Provide subject matter expertise on using AWS Glue for ETL workloads and integration with S3 and other AWS-native services. ? Implement observability tooling for logs, metrics, and error handling to support monitoring and incident response. ? Align implementations with InfoSum's privacy, security, and compliance … depth knowledge of AWS Glue, including job authoring, triggers, and cost-aware configuration. ? Familiarity with distributed data formats (Parquet, Avro), data lakes (Iceberg, Delta Lake), and cloud storage systems (S3, GCS, Azure Blob). ? Hands-on experience with Docker, Kubernetes, and CI/CD pipelines. ? Strong documentation and communication skills, with the ability to support and coach internal teams. More ❯