Top AWS Jobs in London

Design and validate scalable, secure finance system architectures; lead solution discovery, documentation, and governance; engage senior stakeholders and vendors; provide technical leadership, hands-on proofs-of-concept, and cross-functional guidance to reduce delivery risk and accelerate finance transformation.

The Principal Cloud DevOps Engineer will enhance infrastructure for ID verification solutions, automate deployments, manage teams, and collaborate with security teams.

As a Senior Software Engineer, you will build complex backend services and APIs using Node.js and TypeScript, contribute to design discussions, mentor junior engineers, and enhance service reliability and engineering quality.

The Senior Technical Product Manager will develop product strategy for cloud platforms, prioritize the product roadmap, and collaborate with engineering teams to innovate and enhance cloud services for LSEG.

Design, implement, and automate cloud infrastructure on AWS using Terraform, Kubernetes, Helm, and GitHub Actions. Build production-grade clusters, create deployment pipelines, implement monitoring with Prometheus/Grafana/ELK, enforce infrastructure security controls, optimize cost and performance, and produce documentation and RFP contributions while collaborating across teams.

Lead client engagements to define AI strategy, design enterprise AI platforms and governance, architect secure scalable Generative AI and agent solutions, deliver high-quality roadmaps and designs, mentor teams, and support business development.

Summer internship contributing to front-office trading analytics: build Python microservices and APIs, develop real-time trading tools and visualizations (Streamlit), work with cloud-native AWS services, Kubernetes, Kafka and Snowflake, support CI/CD and DevOps, and help integrate ML-driven analytics into trading workflows.

Support building and optimizing data ingestion, ETL, and transformation pipelines using Python and SQL. Work with Snowflake and cloud platforms to store and validate structured and semi-structured data, automate workflows (Airflow), conduct data quality checks, and document pipeline architecture for use by trading and analytics teams.

Own and operationalize audit-ready security controls (DORA, GDPR, SOC 2, ISO 27001) across AWS, Kubernetes, and application layers. Translate regulations into technical controls, automate evidence collection and compliance checks, lead audit preparation and walkthroughs, remediate issues, and partner with Legal, Compliance, Risk, and engineering to embed secure-by-default design.

Lead Java Developer responsible for delivering Real-Time and On-Demand Risk enhancements, managing the full development lifecycle, collaborating with global teams, and driving operational improvements.

Lead performance and scalability for a microservices-based platform: define SLOs and thresholds, design and run production-scale performance tests (k6), integrate performance into CI/CD, build reusable test assets, diagnose regressions via logs and traces, and drive fixes with stakeholders to embed performance across delivery.

Lead and optimise the data platform architecture, coach and grow the data team, build and maintain production data pipelines and sources (APIs, SQL/NoSQL, parquet), implement ML infrastructure and MLOps, deliver data engineering projects with stakeholders, and collaborate with engineering teams to integrate back-end databases.

Design and implement end-of-day market data sourcing, validation, modeling, and delivery for pricing and risk. Build Snowflake data models and ETL/ELT pipelines, integrate AWS SQS for data readiness, optimize performance, ensure data quality and auditability, and collaborate with Market Data and Risk teams.

Develop and maintain the global Securities Finance platform (on-prem and AWS). Own projects end-to-end, write unit tests, assist with user testing, and work with support/release teams to deliver robust, high-performance solutions for front and middle office users.

Design, enhance, and maintain Snowflake/AWS-based historical time series infrastructure for market risk. Build Python ETL/ELT pipelines and optimized SQL models, source and validate end-of-day market data, implement data-quality remediation (gap-filling, back-filling, anomaly correction), collaborate with Market Data and Risk teams to ensure auditable, reproducible risk inputs for VaR and regulatory use.

Build, optimize, and support a scalable AWS cloud risk platform that computes risk for cash and derivative trades using Snowflake-stored data. Develop Python-based risk engines, improve distributed computation performance, reconcile outputs with legacy systems, troubleshoot pricing/risk issues, collaborate with IT teams, and participate in on-call support.

Design, build, and operate scalable, secure data pipelines, warehouses, and streaming systems. Collaborate with Engineering, Data Science, Analytics, and Product to model data, evolve platform architecture, optimize tools, and support delivery while mentoring junior engineers and promoting best practices (CI/CD, testing, observability, IaC).

Build and operate metadata, semantic, lineage, and provenance capabilities within a cloud-native Data Platform. Translate analytical and ML workflows into versioned, discoverable, governed dataset products. Implement ingestion, APIs, automation, and tooling on AWS to improve discoverability, reproducibility, and reuse of scientific data. Collaborate with Computational Immunology, lab, and platform teams and own technical solutions from design through production and operations.

Build and operate a cloud-native data platform for biological and clinical data: design data lake/medallion architectures, ingest/validate/transform data, enable reproducible pipelines, implement IaC and CI/CD, improve discoverability, lineage, governance, and support scientists and data teams.

The Staff Infrastructure Security Engineer will lead security initiatives, set architectural patterns, conduct security reviews, and mentor engineers while ensuring security in cloud infrastructures for GitLab.

Design, build and deploy multi-agent, agentic AI systems integrating LLMs and vision-language models into production pipelines. Deliver end-to-end features for cloud, on-prem and air-gapped environments, implement observability and evaluation frameworks, and act as a technical authority for agentic AI within cross-functional teams.

Lead design, implementation and operation of multi-account AWS infrastructure and Kubernetes platforms (EKS/OpenShift). Build IaC (Terraform/CloudFormation/Helm), CI/CD (GitHub Actions/Argo CD), security hardening (GuardDuty, IAM, CloudWatch), observability, backup/DR and cost-optimisation while owning audits, incident response and enabling DevSecOps practices across the organisation.

Entry-level data science and engineering intern contributing across the data product lifecycle: ingesting and transforming data, building and maintaining pipelines, supporting model development and analysis, creating dashboards and presentations, and collaborating with cross-functional teams to turn data into actionable insights for media and marketing clients.

Set technical direction and architecture for backend systems and API integrations in a distributed microservices fintech platform. Design and implement reliable, highly available RESTful APIs, build third-party integrations, enforce observability and CI/CD best practices, optimize performance and scalability, produce technical documentation, and mentor engineers to raise engineering quality.

Design, build, and maintain backend microservices and RESTful APIs; integrate with third-party vendors; ensure scalability, observability, and reliability; own technical architecture, CI/CD, and documentation; optimize databases and message-driven systems.