Top AWS Jobs in London

Design, build, test, deploy and run full‑stack SaaS features using Node.js, TypeScript and React. Participate in design, code reviews, pairing, refactoring, API and backend development, ensure security, reliability and accessibility, and support production monitoring and agile delivery.

Senior Software Engineer contributing across the full stack within a product-focused, cross-functional team. Build, deploy, and support scalable cloud-native services using event-driven architectures, improve observability and test automation, collaborate with product and customers, and champion engineering best practices to deliver high-value features.

Senior leader responsible for shaping and scaling Instructure's partner ecosystem and channel programs to drive revenue. Builds and manages reseller, integration, ISV, and strategic technology partnerships, aligns cross-functional GTM plans, forecasts bookings, and manages budgets. Measures partner performance, expands government and consortia relationships, and discovers alternative revenue models.

Own cloud architecture intelligence and cost optimization: analyze cloud spend, identify inefficiencies, build dashboards, enforce governance, partner with engineering/finance to drive cost-conscious design and operations.

Lead and scale the company's automation infrastructure and products while remaining hands-on. Design orchestration, monitoring, and resilient event/queue-driven workflows; integrate n8n and multiple SaaS tools; build AI/LLM production systems with Claude/OpenAI; ship client-facing and internal products; set engineering best practices, CI/CD, and observability; hire, mentor, and manage an automation engineering team and partner with the founder on technical strategy toward CTO growth.

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.

Lead and scale an n8n-centric automation platform, build full-stack internal and client-facing automation products, design production-grade AI/LLM pipelines, set engineering standards, and hire and manage an automation engineering team to deliver scalable, resilient automation infrastructure.

Serve as the technical bridge between product and sales: lead technical discovery, demos, and POCs; build custom integrations and demos; translate customer feedback into product requirements; create technical sales collateral; troubleshoot pre-sales and onboarding issues; monitor market and competitor trends to inform positioning.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

Serve as principal technical authority for enterprise cloud architectures, designing and demonstrating secure, scalable software supply chains. Lead deep technical discovery, architect integrations using Terraform and Helm, advise on Cloud AI/LLM/vector DB security, drive complex PoCs with Fortune 500 accounts, and mentor SEs while influencing product roadmap.

Design, build and maintain cloud-based data engineering solutions and knowledge graphs using Python and AWS. Implement high-quality data pipelines, optimize performance, manage containerised workloads with Docker, and maintain CI/CD, automated testing, and collaborative enterprise data platform integrations.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

Seek a Senior Solutions Engineer to support strategic accounts by leading technical sales efforts, shaping customer requirements, and influencing outcomes in sales cycles. The role requires strong technical expertise in cloud platforms and containers, along with excellent communication skills.

Design and maintain Golang infrastructure services for the Confluent Cloud Platform, ensuring performance, availability, and capacity planning of the service.

As a Lead Machine Learning Engineer, you will set technical direction for ML projects, design scalable systems, mentor engineers, and drive innovation. You'll ensure successful project outcomes while balancing trade-offs and guiding team priorities.

Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

The Lead Data Architect will shape data strategy, design secure data architectures on AWS, mentor teams, and ensure compliance with regulations.

Manage post-sale relationships for a designated EMEA account base, driving renewals, upsell/cross-sell, onboarding, adoption, and customer advocacy. Collaborate with sales, solutions architects, and internal teams, report on customer health and opportunities (SFDC), and act as trusted advisor to maximize retention and revenue.

Design, deploy, and maintain reliable cloud-native infrastructure using Terraform, Azure, and Kubernetes. Troubleshoot incidents, lead incident resolution and post‑mortems, improve CI/CD and monitoring, reduce toil, manage security risks, and lead client and supplier engagements to expand SRE practices.

As a Senior Software Engineer at KoBold, you'll develop innovative data systems for mineral exploration, collaborating closely with geologists and data scientists to improve exploration success rates. You'll own projects end-to-end, engage with users, and create scalable, production-quality solutions for complex geological challenges.

As a Test Automation Engineer, you will support software testing, develop automated tests using Selenium, and ensure functionality through collaboration with developers, using tools like Cucumber and cloud services.

Lead design, development, and operation of real-time and batch data pipelines and cloud infrastructure. Improve reliability, observability, and data architecture; own features end-to-end and mentor engineering teams while coordinating cross-team stakeholders.

Design, build and maintain cloud-native ETL/ELT pipelines and data lake solutions using dbt, Snowflake/Databricks and AWS services. Optimize SQL and data models for performance and cost, create dashboards, follow CI/CD and software engineering best practices, and collaborate with architects, engineers and clients to deliver production-ready enterprise data solutions.

Design, build, operate, and improve cloud-native Kubernetes platforms. Maintain cluster health, GitOps, IaC (Terraform), CI/CD, observability, incident response, cost and performance optimisation. Partner with engineering teams, support deployments, reduce technical debt, and for Lead roles own roadmap, mentor engineers, and manage stakeholder priorities.