Top AWS Jobs in London

Lead design and development of large-scale, cloud-native full-stack applications. Shape architecture and engineering standards, build frontend and backend services, mentor engineers, ensure scalability, availability, performance, security, and apply DevOps and Agile practices across products.

Lead and unify Totara's infrastructure and cloud engineering teams to build a scalable, secure, and cost-effective cloud platform. Own provisioning, deployment, observability, SRE practices, security/compliance, FinOps, and multi-cloud strategy while delivering automated lifecycle management for thousands of dedicated customer deployments and developing a high-performing distributed team.

The Graduate Data Scientist will support data advisory engagements by documenting data processes, constructing architecture diagrams, and communicating strategies to stakeholders. They will utilize databases, SQL, and cloud platforms.

Design and own machine learning platforms for pricing technology, streamline workflows, and ensure reliable model performance at scale.

Lead ownership of CI/CD and SDLC infrastructure, automating mobile release pipelines, improving end-to-end test automation, optimizing pipeline performance, and enhancing developer experience while ensuring security and compliance for a consumer fintech product.

Collaborate with Java developers to design test strategies and automation frameworks. Develop and run functional and non-functional tests (performance, load, stress, resilience, scalability), integrate tests into CI/CD, monitor test health, investigate failures, and improve system quality for a distributed real-time Java platform.

Build and validate production-grade ML and AI systems across pricing, underwriting, claims, and portfolio management. Work with structured and unstructured data, LLMs and agentic workflows, extract information from documents, resolve entities, create feature pipelines and inference services, quantify uncertainty, monitor drift, and measure business impact in collaboration with engineers, actuaries, underwriters, and product teams.

Define and assure solution architecture artifacts, lead engineering teams as an SME, establish architectural guardrails, support senior leaders with cost estimation and planning, and collaborate cross-functionally using agile practices to deliver cloud-based applications and services.

Design, implement, and maintain stable, highly available infrastructure. Build and support CI/CD pipelines, deploy enterprise projects on AWS, automate build/release and monitoring, troubleshoot performance, participate in on-call rotation, and ensure security and compliance while collaborating across teams.

The Senior Compliance Manager will oversee SOC 1, SOC 2, and PCI compliance programs, coordinate audits, and ensure effective control implementation by collaborating with engineering teams.

As a Senior Product Engineer, you will develop backend and frontend systems, mentor engineers, and enhance product architecture at Intercom.

The Senior Product Engineer will develop technical plans, write Ruby code, mentor engineers, and collaborate with product teams to enhance customer service solutions.

As a Senior Software Engineer, you'll architect, build, and deliver features, collaborate with teams, maintain CI/CD pipelines, and support team members in technical matters.

Design, build, and own backend microservices and integrations for an AI-focused cybersecurity platform. Implement event-driven processing, ingest high-volume endpoint events, model and persist domain data, expose APIs and webhooks, and support analytics, reporting, and customer-facing visibility features.

The Data Platform Architect will lead complex data engineering projects, act as a trusted advisor to customers, and guide their data platform strategy while documenting architectural designs.

Responsible for network operations, maintenance, upgrades, monitoring and troubleshooting across LAN/WAN/datacenter and cloud networks. Configure network equipment, enforce standards, support projects and incidents, provide onsite support, and collaborate with cross-functional teams to implement scalable network solutions while meeting SLAs.

Lead design and delivery of production-grade AI systems and Digital Workers. Embed with enterprise clients to translate workflows into scalable agentic architectures combining LLMs, RAG, multi-agent orchestration, retrieval, and cloud integration. Own end-to-end technical delivery, guide engineering teams, set technical direction, and ensure reliability and performance in production.

Build and deploy production-grade autonomous AI systems (Digital Workers) for enterprises. Embed with clients to map workflows, integrate models, data, and infrastructure, and deliver scalable agentic solutions using LLMs, RAG, multi-agent coordination, orchestration, and cloud platforms.

The role focuses on leading data platform strategy and architecture, guiding enterprise clients on modernizing their data ecosystems for AI, and enhancing the data platform capabilities within Simple Machines across Europe.

Lead the design and implementation of modern data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to drive effective data solutions.

The Database Support Engineer will resolve complex PostgreSQL issues, provide proactive advice, collaborate with customers, mentor junior staff, and recommend product improvements.

As a Senior Python Developer, you will innovate solutions for online shoppers, collaborate with teams, and work on scalable products.

The Platform Engineer will enhance CI/CD processes, scale serverless infrastructure, improve observability, and optimize developer experience while contributing production-ready TypeScript.

As a Data Engineer, you'll optimize the Data Lake and develop pipelines for data-driven decision-making, collaborating with Data Science for efficiency.

Build and maintain reliable ingestion and transformation pipelines on Databricks or Snowflake, design Data Vault 2.0/Kimball models, ensure production reliability, support testing/monitoring/documentation, and help apply LLMs and AI-enabled solutions in regulated financial services environments.