9 of 9 Amazon S3 Jobs in Central London

agents and agentic workflows. Vector databases such as Pinecone, Weaviate, or pgvector. Feature stores including Feast or AWS Feature Store. Docker, Kubernetes, or Amazon ECS. Infrastructure as Code using Terraform or CloudFormation. Big data processing technologies such as Spark or Dask. Experience working within regulated or highly secure ...

design experience Experience of using Agentic AI coding tools - e.g. Claude Code, Co-Pilot Agent Mode, Devin Experienced with Cloud Technologies – ideally AWS – e.g. S3, SQS, Lambda, Fargate Strong RDBMS knowledge Experience developing distributed, micro services-based applications. Experience with data modelling and curation for large-scale datasets Preferred ...

programming. Solid understanding of the Hadoop ecosystem, including Spark, Hadoop, and Hive. Strong experience with cloud platforms and data infrastructure, especially AWS, including EMR, S3, and Glue. Experience working in Agile environments and contributing through code reviews, design discussions, and collaborative development. Strong communication skills, with the ability ...

workflows Risk & privacy modules — correlation, remediation BigID Open SDK, APIs, and custom app development Data & Cloud SQL/NoSQL databases — Snowflake Cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data lineage concepts Security & Privacy SIEM/ ...

measured Desireable: Experience writing complex validation logic using tools like Great Expectations, dbt tests, Elementary, Soda, or Deequ. Familiarity with AWS data services ( S3, Athena, Glue ) Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery ) A pragmatic problem solver who can balance technical excellence with business ...

strong focus on improving production services and incident response. AWS Cloud Services leadership: Advanced hands‐on experience designing and deploying scalable systems utilizing Amazon Web Services, including DynamoDB, SNS, SQS, and S3. AI‐Assisted Development: You are highly comfortable leveraging AI coding assistants and LLMs to accelerate workflow ...

detection, safe‐apply guardrails. Every manual runbook step is a candidate for a pipeline. Run the AWS footprint. VPC and networking, ECS Fargate, DMS, S3, IAM, Secrets Manager, EventBridge provisioned as code, sized sensibly, and cost‐aware (you'll make the calls on things like NAT vs VPC endpoints … healthy respect for what a bad plan can do in production. Strong AWS. Hands‐on across networking, containers (ECS/Fargate), IAM, S3, Secrets Manager, and event‐driven scheduling built as code, not clicked in the console. CI/CD you've actually built. GitHub Actions (or equivalent), OIDC ...

/ELT pipelines, data warehousing, and analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue, EMR, Lambda, Aurora, Airflow, Terraform). Ensure data availability, integrity, and performance as the platform scales globally. Drive best practices in data quality … Connect, Rhapsody, or equivalent). Experience integrating with major EHR platforms (Epic, Cerner, Meditech, or similar). Strong command of the AWS data stack: S3, Glue, EMR, Lambda, Aurora, and orchestration tools such as Airflow. Proficiency in Python, SQL, and DBT; familiarity with IaC tooling such as Terraform. Comfortable ...

Senior AI Engineer, Agentic Systems Department: Engineering Employment Type: Full Time Location: London Compensation: £105,000 - £120,000/year Description TL;DR Kharon is seeking a full-time London-based Senior AI Engineer, Agentic ...