Top AWS Jobs in London

Lead end-to-end AWS migration projects under the AWS MAP programme: own discovery, business-case modelling, pilot migrations, and landing zone/platform design. Architect secure, scalable enterprise platforms, apply Well-Architected principles, provide technical governance and leadership, and implement cloud-native security and monitoring using AWS platform services.

As a Product Engineer focused on Backend, you'll enhance backend infrastructure, design APIs, improve reliability, and support innovative features at Granola.

The Senior Software Engineer II will architect, build, and deliver new features, collaborate with teams, mentor engineers, and improve developer tooling while leading deployment processes.

As a Full Stack Product Engineer, you will develop user-facing features, optimize application performance, collaborate with a team, and engage with users to enhance the product.

Build and own internal full-stack tools and agentic apps from UX to infrastructure. Ship Slack/React interfaces, APIs, backend async pipelines, and AI-powered features using LLM APIs and prompt engineering. Embed with teams to translate user needs into production features, iterate quickly, and maintain systems on Vercel, AWS, Supabase, and BigQuery.

The Platform Architect will bridge R&D and Field teams, operationalize cloud security solutions, resolve issues, maintain customer relationships, and provide technical expertise.

The Software Engineering Intern will assist in developing agent infrastructure, integrate AI capabilities, and contribute to customer interfaces, supported by experienced engineers.

Design, develop, and maintain scalable Python backend systems and APIs. Lead end-to-end development, optimize performance, participate in architecture decisions, conduct code reviews, resolve production issues, and mentor junior engineers.

The Senior Full Stack Engineer will design and build scalable microservices in Go, develop React components, and collaborate on product solutions while ensuring code maintainability and quality.

Design and build scalable Python backends and APIs, integrate and deploy LLM-powered applications (chatbots, summarization, semantic search), optimize model performance and costs, develop data pipelines for training and inference, ensure code quality and CI/CD, collaborate cross-functionally, and mentor junior engineers.

Drive and expand enterprise accounts by building strategic executive relationships, managing pipeline and CRM, positioning SHI IT solutions, collaborating with pre/post-sales teams, and meeting revenue and profit targets.

Manage global customer accounts to drive retention and growth by identifying pain points and delivering end-to-end IT solutions. Align forecasts with sales and supply chain, host quarterly business reviews, coordinate internal and external resources, manage CRM activities, create SOWs, pricing quotes, and renewals, prepare management reports, and support major initiative campaigns and technology deployment.

As a Senior Data Engineer at Simple Machines, you'll lead the design and build of cloud-native data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to deliver effective data solutions.

As a Full Stack Engineer, you will design and implement scalable software solutions, collaborate with teams, and oversee codebase integrity.

You will design, build, and maintain scalable software systems, driving execution and collaborating with product teams to deliver impactful AI-enabled solutions.

Design, build, and maintain cloud infrastructure, services, and APIs; integrate backend systems with an embedded platform; write automated tests, debug issues, and apply secure distributed systems practices to ensure scalable, reliable operation.

Develop and maintain security-focused cloud services and infrastructure, design APIs and backend systems, integrate with embedded platforms, fix bugs, write automated tests, and apply cloud and secure software best practices to ensure scalable, reliable, and secure operation.

The Applied AI Engineer will develop AI features for consumers, optimize AI tools, and enhance workflows in the energy sector.

You will build backend infrastructure for a digital energy platform, working on real-time systems and customer energy pipelines while adapting to business needs

Own technical strategy for large enterprise accounts, drive multi-product adoption and complex sales cycles, architect cloud-to-serverless migrations, design POCs, navigate security/compliance and procurement, mentor peers, and influence product roadmap.

The Platform Engineer will enhance and scale Lovable's developer experience, focusing on improving engineering workflows, building application frameworks, and maintaining observability across teams.

Join Lovable as a Data Scientist to leverage analytics for business insights, analyze user behavior, and support product strategies through data-driven decisions.

The Senior Backend Software Engineer will design, build, and maintain scalable backend systems. Responsibilities include collaboration with teams, API implementation, and ensuring best practices in software engineering.

Join as a Database Platform Engineer to design, build, and operate critical database platforms, ensuring high availability and performance in a collaborative environment.

The AI Infrastructure Engineer will build and optimize training pipelines and inference services for AI models, enhance GPU-level performance, and mentor team members.