9 of 9 Amazon S3 Jobs in the City of London

products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia ...

support the delivery of innovative data and AI solutions. You will need proven experience working with the following: AWS data engineering technologies including Glue, S3, Lambda, Redshift and Athena Advanced SQL and strong Python development skills Building and maintaining data pipelines and data platform solutions Business Intelligence, analytics ...

automated. Works with ops teams to optimize processes. Designs maintainable, observable, and resilient solutions. Mandatory Technical Skills: Python AWS Services Lambda, Step Functions, S3, APIs/EventBridge. Practical, hands-on experience (not certification-only). Data Pipelines & Scripting Understanding of data pipelines. Comfort with scripting (Python, Bash, etc.). ...

data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead ...

LangGraph for orchestration - Data modelling for fund mechanics, including cash flows, NAV, performance metrics, and position-level credit data - AWS in production: IAM, S3, RDS, and containerised workloads - CI/CD, security, observability, and designing for data sensitivity from the outset You'll also need practical exposure ...

Risk systems, Risk technology or Risk platforms . Experience working closely with business users, risk teams, traders or quants. AWS knowledge (ECS, Lambda, S3 or similar) is highly desirable Understanding of CI/CD, testing and modern software engineering practices. Ideal Candidate Candidates are likely to come from ...

Python, enabling you to programmatically manage AWS infrastructure. Your expertise should include automating complex tasks such as resource provisioning, configuration management for S3 and EC2, and executing advanced queries within DynamoDB environments to ensure operational efficiency and consistency. Key Responsibilities Building and maintaining secure, automated AWS platform services. Writing ...

engineering teams throughout the full software development lifecycle. Key responsibilities include: Designing and developing serverless applications using AWS services including Lambda, API Gateway, DynamoDB, S3, SQS, and SNS Building and maintaining scalable APIs and event-driven architectures Writing clean, maintainable, and well-tested code using Node.js, TypeScript, and JavaScript … including Terraform, AWS CDK, or CloudFormation Experience building and maintaining CI/CD pipelines Knowledge of AWS services such as Lambda, DynamoDB, IAM, and S3 Understanding of cloud security best practices and secure application design Experience working within Agile software delivery environments AWS certifications such as Solutions Architect, Developer ...

Selenium, Requests, pdfplumber). Database & Cloud Management: Architect and optimize complex SQL queries in PostgreSQL. Manage and deploy cloud-based workflows seamlessly across AWS (S3) and Azure Databricks. DevOps Integration: Embed CI/CD best practices using Azure DevOps, Jenkins, and Git to ensure smooth, automated deployments. Agile Delivery … Level: 8+ years of dedicated experience in Python scripting and data engineering. Core Tech Stack: Deep proficiency with Python, Postgres SQL, Azure Databricks, AWS (S3), Git, Azure DevOps CI/CD, and Apache Airflow. Python Ecosystem: Extensive, recent hands-on experience utilizing NumPy, Pandas, Polars, BeautifulSoup, Selenium, and Requests ...