Top AWS Jobs in London

Design, build and maintain backend .NET services for high-volume transactional rail booking systems. Deliver features, ensure quality and observability, own deployments and monitoring, mentor teammates, and drive technical decisions within an Agile team.

Monitor, triage, and investigate security alerts across endpoints, network, cloud, and identity. Support incident response, containment, remediation, and documentation. Execute and improve IR playbooks, perform threat hunting, leverage threat intelligence, tune detections with Security Engineering, produce incident reports, and participate in 24/7 on-call rotations.

Design, build, and operate low-latency, mission-critical trading systems in Rust. Own trading stack components end-to-end, collaborate with quants and traders, troubleshoot production issues, improve performance, reliability, observability, and drive engineering standards and automation including AI-assisted workflows.

As a Software Engineer in the AI Platform team, you'll architect infrastructure for AI, maintain deployment and MLOps tools, and support diverse client environments.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Build and operate backend services for a high-volume crypto trading platform, including order management, market data processing, REST APIs and WebSocket streams. Collaborate with product, frontend, and trading teams to ensure low-latency, scalable, and highly available systems.

You will architect resilient infrastructure, improve production reliability, write production code, enhance developer experience, and establish operational standards as the first platform engineer.

As an AI Engineer, you will build AI agents for preventive health, focusing on reasoning, clinical workflows, and ensuring reliable production systems.

Design, build, and own CI/build/test pipelines for a compiler/runtime/simulator stack; scale and parallelize large test suites, manage heterogeneous CI runner fleets and scarce hardware, implement perf-regression baselines and observability, and define hermetic, safe-by-default build and test standards to maximize developer velocity.

The Senior Developer will design and manage automation platforms, ensure best practices for security and compliance, and develop monitoring tools. They will collaborate with teams to enhance system performance and implement CI/CD processes.

The AVP of Technology Audit leads risk-based audits across Blackstone's technology platform, engaging with stakeholders and driving innovation through automation and analytics.

The Senior Software Engineer will design and maintain scalable systems, improve system performance, mentor engineers, and support on-call responsibilities.

Build and productionize document classification and extraction ML systems (including LLM/VLM-based solutions). Design training/evaluation pipelines, optimize GPU inference and latency, lead technical design from RFC to production, drive reliability/observability, mentor engineers, and collaborate cross-functionally to deliver scalable, high-accuracy document fraud detection and verification features.

The VP of Engineering will lead the engineering teams overseeing cloud, platform, data, and application engineering, focusing on execution, reliability, and scalability of Hypervolt's systems while collaborating with hardware and firmware teams.

Responsible for designing and building backend services using Go on AWS, providing technical leadership, and improving engineering practices in a green field environment.

Lead development of ICE's copyright product: design and implement scalable AWS-based microservices, collaborate with product teams, conduct code reviews, own technical decisions, mentor engineers, champion quality and testing, and explore AI-assisted engineering to improve productivity.

Lead DevOps practices to improve efficiency, software quality, and delivery. Implement and maintain CI/CD pipelines, IaC, container orchestration, monitoring, and database schema management. Collaborate with cross-functional teams, translate business requirements into technical solutions, and act as a DevOps SME while influencing stakeholders and promoting automation and best practices.

The Senior Kotlin/JVM Engineer will enhance Lendable's fintech products using Kotlin, participate in design discussions, and integrate new APIs while maintaining existing services. The role emphasizes clean engineering practices and collaboration within a strong tech team.

Design, build and scale production data pipelines and analytics-ready models on AWS and Snowflake using dbt. Lead data platform architecture, ensure reliability, implement CI/CD and testing, mentor engineers, and embed governance, observability and security practices.

The Quantitative Developer will build tools and dashboards, integrate AI solutions, and collaborate closely with quant researchers to enhance workflows and productivity within Fundamental Equities.

The Manager of Research Engineering leads a team focusing on developing LLM and Machine Learning capabilities, overseeing project direction, and mentoring engineers.

As a Lead Solutions Architect, you'll drive organizational transformation through Data & AI, engage with executive leaders, and mentor teams.

Lead and manage a team of cloud network engineers, driving technical roadmaps, engineering delivery, and fostering automation and operational excellence in a large-scale hybrid-cloud environment.

The Senior Solutions Architect will engage with complex customers to guide them in adopting Databricks' Data Intelligence Platform, develop engagement strategies, and influence decision-makers through technical expertise.

Designs and governs enterprise data architectures supporting analytics, reporting, operations, and AI initiatives. Responsibilities include data modeling, warehousing, integration pipelines, APIs, governance, quality, lineage, security, and architecture optimization. The role provides technical leadership and mentorship, guides cloud and big data technology decisions, develops proofs of concept and roadmaps, and supports client proposals and account growth. Collaboration with engineers, analysts, developers, and business stakeholders is central to delivering scalable, secure, high-performance data platforms.