Top AWS Jobs in London

Design and implement AWS deployment strategies, drive CI/CD practices, maintain cloud application monitoring, enhance scalability, and support operational troubleshooting.

The Staff Software Engineer will lead projects, enhance tooling, collaborate with teams and clients, and uphold technical standards within a hybrid work environment.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

As a Customer Support Engineer, you will troubleshoot technical issues, manage customer requests, and maintain service continuity, ensuring a superior experience with Alteryx software.

The Vice President, Network Architect oversees network solutions' design and implementation, ensuring alignment with business needs and architectural principles, while providing technical leadership and collaborating across teams.

Responsible for implementing SRE methodologies, improving system observability, driving automation and operational excellence, and providing on-call support for Cloud issues.

Lead a team of 4–6 engineers to drive architectural decisions, improve reliability, observability, CI/CD, and developer experience. Balance hands-on technical leadership with people management, planning, incident preparedness, and automation. Collaborate with product and cross-functional partners to deliver scalable AWS-based systems, enforce engineering governance, and continuously improve delivery and operational readiness.

The Product Engineer at Lawhive will build software for their AI-native platform, ensuring high code quality and resolving technical issues to enhance user experiences.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

The Senior Migrations Engineer will develop and maintain the Migrations Platform, ensure reliable migrations, and support onboarding of new schools, emphasizing collaboration and quality improvement.

Lead the development and deployment of AI systems, designing scalable ML software and infrastructure while mentoring junior engineers and advising clients.

Build and maintain a mission-critical .NET enterprise platform and event-driven microservices. Implement Kafka-based integrations and CDC pipelines, write and tune SQL Server/T-SQL, containerize and deploy with Docker/Kubernetes, use Azure and CI/CD pipelines, diagnose production issues end-to-end, participate in Agile ceremonies, and collaborate with product, QA, DevOps and partners while supporting on-call rotations.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Provide technical support and configuration for accesso Passport across web, mobile, POS and kiosk. Own Jira tickets end-to-end, run SQL queries to diagnose issues, manage AWS images, support hardware configuration, participate in on-call rota, and perform release testing and escalations to engineering.

Design, operate, and improve an EKS-based Kubernetes platform and CI/CD pipelines. Maintain IaC (Pulumi/Terraform/OpenTofu) across AWS accounts, run observability stack, enforce security best practices, diagnose production incidents, participate in on-call rotation, and produce runbooks and architecture documentation to improve reliability and release workflows.

Design and lead frontend architecture and development for scalable, secure web UIs that integrate with embedded systems and cloud platforms. Build device provisioning, telemetry visualization, and remote management interfaces; optimize performance and accessibility; mentor engineers; collaborate across backend, hardware, and systems teams to deliver end-to-end solutions.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Serve as the primary technical advisor for strategic GPU cloud customers: troubleshoot complex AI/ML issues, optimize GPU performance, guide deployments at scale, collaborate with sales and product teams, and translate customer needs into product feedback and solutions.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Partner with Account Executives to drive enterprise opportunities by delivering technical solutions for Cohesity's Data Cloud. Lead discovery, solution design, demos, POCs, and evaluations; enable integrations, address security and data protection requirements, support deal strategy and competitive displacement, and provide post-sales technical assistance.

The Principal Solutions Architect leads technical solution design, partners with hyperscalers, ensures architectural integrity, and drives customer engagement through compelling narratives and demos.

Lead the AI Engineering squad, driving the design and deployment of production-grade AI systems to enhance business value while ensuring compliance and best practices.

The Principal Cloud DevOps Engineer will deliver solutions on Google Cloud, lead teams, mentor, and engage with clients across various sectors, focusing on DevSecOps processes and architecture.

The Computer Vision Engineer will design, train, and optimize deep learning models for computer vision, manage data pipelines, and deploy solutions in production environments.