Top AWS Jobs in London

The Senior Software Engineer will build and operate AI Middleware, develop data pipelines, optimize AI services, ensure compliance, and collaborate across teams.

The IT Business Analyst will bridge business needs and technology solutions by gathering requirements, documenting processes, and ensuring technical alignment across projects.

Design, build, and maintain end-to-end web solutions, collaborating across teams. Optimize performance, manage backend systems, and stay updated on trends.

The Infrastructure Architect will develop the infrastructure roadmap, establish standards, evaluate technologies, and lead on-premises architectural solutions in a hybrid cloud environment.

As a Machine Learning Engineer, you will develop software solutions using machine learning, collaborate with clients, and deliver impactful projects working within cross-functional teams.

As a Senior Software Developer, you'll design and maintain software solutions, lead a team, and ensure high-quality code delivery. You'll collaborate with various teams and integrate data science and machine learning solutions into production code.

As a Senior Full Stack Engineer, you'll develop scalable software, mentor peers, ensure system reliability, and contribute to team culture.

Collaborate with trading teams to develop Python-based services, APIs, and cloud-native tools for market analysis and risk management.

As a Junior Equity Quant Researcher, you will assist in managing an equities portfolio, develop new trading signals, and enhance trading infrastructure.

The Commodities Python Engineer will develop trading tools, collaborate on technology solutions, and enhance systems for risk and portfolio management.

The Principal Sales Product Specialist will drive sales of Zendesk's CCaaS platform, focusing on cloud contact center technologies. Responsibilities include strategic collaboration with teams, customer engagement, and sales forecasting.

Develop customer engagement strategies and coach junior architects while influencing stakeholders in a pre-sales capacity for data analytics solutions.

The Product Manager will drive the product strategy for Declarative Infrastructure, enhancing developer experiences and managing cloud resources at Spotify.

As a Lead Engineer - Data, you will guide technical strategy, mentor a team, and collaborate on scalable data solutions, focusing on engineering practices and cross-functional alignment.

The role involves providing backend technical support for gaming projects, developing online services, and collaborating with global game studios to optimize backend performance and stability.

Act as a point of contact for Tencent's gaming studios, optimizing multi-cloud resources, addressing technical issues, and enhancing processes for game development and operations.

As a Cloud Infrastructure Engineer, you will design, build, and migrate systems to Azure and AWS, ensuring adherence to best practices.

As an intern in Platform Technology Services, you will work in teams focused on Cloud, Infrastructure, Security, and Network Operations, gaining experience in high-performance platforms and contributing to QRT's quantitative trading operations.

The Senior Fullstack Engineer will innovate and develop software solutions, focusing on building modern marketplace experiences and improving internal products at Sotheby’s, requiring collaboration across teams and expertise in distributed systems.

The role involves optimizing network operations, troubleshooting issues, managing network incidents, and collaborating with engineering teams to enhance infrastructure support.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

As a Lead Backend Engineer, you will enhance platform reliability, manage a small team, and lead architectural decisions to build scalable systems.

Design, develop, and support cloud platforms and applications with a focus on security. Collaborate with teams to implement best security practices and manage cloud migrations.

As a Machine Learning Research Engineer, you will design and implement systems for training and evaluating large language models, collaborate with researchers, and contribute to scalable ML applications in an academic setting.

As a Senior Product Engineer, you'll architect scalable solutions, mentor peers, and enhance the Insights platform for improved customer decision-making and operational efficiency.