Top AWS Jobs in London

The Curriculum Manager will oversee content development for cloud education, collaborating with experts to create engaging and technically accurate material while leveraging AI tools to enhance production and assess course performance.

Embed with strategic enterprise customers to architect, build, and deploy Alkira network solutions. Lead technical evaluations, design hybrid/public cloud networks, develop automation (Terraform, APIs, scripting), run workshops, troubleshoot, and drive adoption and product feedback across Sales, Engineering, and Product teams.

Lead research and advisory on sourcing, contracts, and negotiations for enterprise software and SaaS (Salesforce ecosystem). Produce thought leadership, advise clients on licensing/negotiation strategy, create presentations, support sales and mentor junior analysts, and contribute to research process improvements.

Act as a subject-matter expert for Agentforce/Data Cloud, engage strategic customers to optimise architecture and performance, identify capability gaps, run tailored playbooks, influence executives on tech-to-business value, build partner relationships, and mentor peers to drive customer success and adoption.

Mentor apprenticeship learners to identify and implement AI-driven workflow improvements, assess progress against the apprenticeship standard, support portfolio and EPA preparation, provide technical support and mentoring sessions, report learner progress, and uphold safeguarding and equality responsibilities.

Design and maintain multi-region AWS infrastructure with Terraform, build isolated single-tenant environments, architect CI/CD (GitHub Actions, Docker), implement observability (OpenTelemetry, Datadog/Grafana), and tune autoscaling and networking for high-throughput LLM workloads to ensure reliability and low latency.

Lead cross-functional engineering teams to design, deliver, and evolve cloud-native, event-driven insurance applications. Own architecture, roadmap, and delivery for policy, claims, underwriting, and compliance systems while ensuring regulatory adherence, vendor management, Agile/DevSecOps practices, and engineering KPIs.

The Founding Engineer will develop a security product using C#, .NET Core, and Terraform, collaborating with a small team to deliver high-quality solutions quickly.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The DevOps Engineer provides technical support, coordinates change requests, maintains testing collateral, executes code deployment, develops automation tools, and ensures adherence to security practices while working with agile methodologies.

Lead the design and development of AI-powered applications, mentor engineers, and collaborate across teams while ensuring high coding standards and deployment in cloud environments.

Own the full enterprise sales cycle to acquire new clients for AI, generative AI, data engineering, and analytics services. Prospect and qualify opportunities, engage C-level stakeholders, develop proposals with Pre-Sales and Delivery, negotiate contracts, manage pipeline and forecasting, represent the company at events, and support GTM and handover to delivery and customer success.

As a Staff Software Engineer, you'll work on large-scale distributed systems, optimizing performance for AI inference, and managing complex infrastructure challenges.

Design, build, and maintain ELT pipelines and dbt SQL models for analytics; optimize performance, scalability, and costs; apply AI-enabled tools to improve engineering workflows; collaborate to translate requirements into production-grade data assets.

Pre-sales technical specialist partnering with account teams to identify and design multi-domain solutions across networking, cybersecurity, cloud, data center and AI. Responsibilities include discovery, solution design, proposals, presentations, technical validation, vendor engagement, sales enablement, and supporting complex data center and transformation opportunities.

The Senior Full Stack Engineer will design and develop scalable backend services, APIs, and infrastructure while collaborating with clients and team members. Responsibilities include end-to-end delivery, Agile methodologies, and participating in a high-performing engineering team.

The Cloud Solutions Architect will design scalable cloud solutions, ensuring integration with client systems and leading implementation efforts while collaborating with various teams.

The Solution Architect will lead design and delivery of digital services for the UK Public sector, engage with stakeholders, and ensure best practices in technology.

As a DevOps Engineer, you will ensure infrastructure reliability and security, automate deployment, administer systems, and integrate security testing tools.

Lead end-to-end cloud architecture and migration engagements across AWS, Azure, and GCP. Design landing zones, hybrid connectivity, migration wave plans, security and governance, cost optimization, and run cutover events. Chair Architecture Review Boards, mentor teams, support presales scoping, and produce HLD/LLD and migration runbooks to deliver enterprise-scale cloud transformations.

Lead end-to-end architecture and delivery of virtualization and private cloud engagements (VMware and Red Hat). Drive design, migration (VM-to-container), DR, automation (Ansible/Terraform/GitOps), governance (ARB/TDA), and mentor delivery teams while advising on licensing and commercial trade-offs.

Design, build and deploy production-grade ML systems and infrastructure. Create reusable, scalable solutions, lead technical scoping and architecture, collaborate with data scientists and engineers, and advise clients and stakeholders on ML feasibility, standards, and delivery.

The Technical Lead will oversee software delivery, drive improvements in development and deployment, mentor engineers, and foster a collaborative environment. Responsibilities include implementing CI/CD, improving system performance, and guiding clients through digital transformations.

The Full-Stack Engineer will develop core components of a trading system, support production systems, and contribute to trading logic design.

Join Starling as a Software Engineer to design, implement, and maintain ML-powered features, collaborating with engineers and data scientists, while delivering impactful solutions in a hybrid working environment.