Top AWS Jobs in London

The Senior Data Engineer will develop and maintain data pipelines, optimize SQL data models, and enhance data quality, collaborating with cross-functional teams.

This position involves designing and managing cloud infrastructure on AWS, scripting with Python, and configuring NGINX for traffic management, ensuring efficient deployment and operations.

The AWS DevOps Engineer will automate and manage cloud infrastructure on AWS, focusing on deployment, scaling, and monitoring of applications. Responsibilities include managing Kubernetes clusters, CI/CD pipelines, and API Gateways, ensuring security best practices.

This role involves leading a team in cloud threat research, analyzing data, collaborating with R&D, enhancing product features, and staying updated on industry trends.

This role involves providing pre-sales technical expertise, leading the Sales Engineering team, and collaborating with internal areas to meet customer needs in a hyper-growth environment.

As a Lead Power Platform Engineer at Kainos, you'll manage teams, develop Power Platform solutions, mentor staff, and interact with customers to meet technical requirements while learning new technologies.

The Principal Solutions Engineer collaborates with various teams to provide insights and improve product value, leads technical discussions, and assists in sales by demonstrating technical capabilities of Wiz's platform.

The role involves leading client engagements, driving profitable growth through AWS technology, building relationships with C-suite executives, and fostering team development.

The Platform Engineer will build and manage scalable infrastructure for ML systems, focusing on enterprise applications in drug discovery, ensuring reliability and customer integration.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

Develop and maintain backend services using TypeScript and Node.js, focusing on scalable event-driven architecture and modern microservices practices while collaborating with teams to solve complex business problems.

Design and implement solutions in AWS Connect, migrate telephony workflows from Virtutel, and integrate with existing systems while ensuring successful delivery through collaboration and testing.

This role involves defining AI safety measures, governance patterns, and privacy guidance. You'll enhance the AI platform, ensuring safe and efficient product deployments.

The Senior AI Engineer will design and enhance shared AI platform capabilities while ensuring reliability and production readiness. The role requires collaboration on system architecture, building reusable components, and mentoring other engineers in AI development practices.

Design and build web security solutions and internal infrastructure platforms. Collaborate with teams on technology research and product implementation.

Lead the Enterprise & Integration Systems team, driving integration solutions and managing multiple delivery streams to ensure technical excellence and operational health.

Define and drive product strategy for enterprise networking features (Cloud Connectivity, Private Access, SSE, SD-WAN). Collaborate with customers, sales, partners, and engineering to translate goals into requirements, support strategic deals, conduct market research, and present product value. Travel periodically for customer and partner engagements.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.

As a Senior Data Engineer, you will design and maintain ML applications, manage workflows, build data pipelines, and mentor junior engineers within a global team.