Top AWS Jobs in London

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

The SaaS Sales Specialist will drive sales of Commvault Cloud SaaS solutions, qualifying leads, preparing proposals, and maintaining relationships with clients and partners. This role supports sales meetings and helps close deals by collaborating with account executives and utilizing industry knowledge.

As a Software Engineer (GenAI-Focused), you will enhance the DoiT Cloud Intelligence product, implement features, review code, and improve code health, focusing on AI and cloud technologies for cost optimization and performance.

Lead a hands-on engineering team building cloud-based analytics/SaaS products. Balance coding, architecture, hiring, delivery, and career development while driving technical standards and AI-augmented workflows.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Design, deploy, and maintain highly available, secure cloud platforms; support CI, automation, monitoring, and migrations of legacy systems to AWS; resolve performance, vulnerability, and scalability issues; create operational documentation and collaborate with stakeholders.

Lead reliability and scaling efforts across Honeycomb's backend: improve AWS and Kubernetes infrastructure, reduce costs, support on-call/incident command, collaborate with backend teams, and enable organizational reliability practices and observability.

The Sr. Software Engineer will design, develop, and maintain public APIs and integrations, ensuring high scalability and performance while improving code quality using AI tools.

The AI Implementation Engineer delivers and stabilizes AI solutions in customer environments, ensuring integrations and workflows meet requirements while coaching customer teams during critical phases.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

As a Lead Dynamics 365 Engineer, you will manage teams, develop D365 CE solutions, mentor colleagues, and ensure high-quality application performance while balancing user needs and technical decisions.

As a Senior DevOps Engineer, you'll design and implement AWS infrastructure, ensure system reliability and security, manage CI/CD pipelines, and lead incident resolutions.

Lead the architecture and scalability of a Node.js-based cloud platform, manage a team of engineers, and drive development velocity while ensuring system portability across cloud providers.

As a Senior Node.js Developer, you will build high-performance backend services, scalable microservices, CI/CD pipelines, and real-time data processing systems for enterprise SaaS applications. You will collaborate directly with engineering leadership and be responsible for significant architectural decisions.

Lead architecture and design of scalable, event-driven, serverless systems on AWS. Drive platform standards, reliability, observability, and mentor senior engineers while solving cross-team scalability and data-consistency challenges.

Lead design and implementation of the Libraries Platform: services, pipelines, package index, automation for builds, CVE remediation, SBOM/provenance, AI-assisted patching, and reliability/observability for multi-ecosystem package workflows.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

As a Senior or Staff Software Engineer focused on SRE, you will optimize performance, manage infrastructure with code, drive observability, and collaborate with teams to enhance system reliability and efficiency.

The Strategic Solution Engineer will engage with GSI partners to drive solution adoption, support strategic opportunities, and enhance partner sales through technical guidance and solution narratives.

This role invites speculative applications for various tech positions. Candidates with skills in Salesforce, DevOps, AWS, and user experience are encouraged to apply.

Build high-fidelity, production‑shaped prototype services and demo infrastructure using AI-accelerated workflows. Develop mock backends, contract-first APIs (REST/GraphQL), deploy demo environments on AWS with Terraform, collaborate with frontend and product teams, support pre-sales consulting and occasional client demos, and mentor pre-sales engineers on API design and GenAI practices.

Lead design and delivery of end-to-end data lake and ODS solutions on Cloudera in AWS. Produce design artefacts, define data best practices, review peer designs, engage stakeholders, support engineering and delivery teams, and present to Architecture Review Board.

Hands-on Technical Lead responsible for delivering and maintaining real-time software across multiple projects. Lead and mentor developers, manage prioritization and schedules, liaise with stakeholders, ensure compliance and SLAs, remove impediments, and drive adoption of global technology initiatives and best practices.

Design and validate end-to-end data platform solutions (ingestion, transformation, storage, semantic layers, consumption) that embed governance, security and non-functional controls. Translate business outcomes into data product definitions, provide design assurance during delivery, contribute reference architectures and patterns, and coach teams to ensure consistent, resilient, and scalable delivery for BI, analytics and operational use cases.

Design, implement, and deploy stateful agentic LLM orchestration and RAG systems integrated with internal APIs, databases, and third-party tools. Collaborate in Agile teams to deliver reliable AI-automation solutions, contribute to code review and QA, improve system reliability, and communicate technical trade-offs with stakeholders.