Staff Software Engineer, Docker Agents (London)

📋 Description

• • As a Staff Software Engineer at Docker, you will play a pivotal role in shaping the future of AI development by building and scaling containerized AI agents. This is a unique opportunity to work on a greenfield project, leveraging Docker's core technology to empower developers worldwide to create, deploy, and manage intelligent agents with unprecedented ease and efficiency.
• • You will be instrumental in designing and implementing robust systems that utilize Docker containers as the optimal runtime environment for AI agents. This involves ensuring these agents are isolated, scalable, portable, and reproducible, addressing critical needs in the rapidly evolving AI landscape.
• • A core responsibility will be the maintenance and expansion of `cagent`, Docker's open-source project dedicated to containerized agent deployment. You will contribute new features, enhance existing functionalities, and drive the evolution of this critical component of our AI platform.
• • The role demands the development of sophisticated agent runtime infrastructure, focusing on the seamless packaging, deployment, and management of AI agents within containerized environments. This includes building the underlying systems that make complex AI deployments simple for developers.
• • You will have the opportunity to integrate Retrieval-Augmented Generation (RAG) systems, enhancing agent capabilities by providing them with contextual knowledge and domain-specific expertise. This secondary focus area allows for direct impact on the intelligence and utility of the agents being developed.
• • Designing and implementing comprehensive evaluation frameworks is crucial. You will be responsible for measuring agent performance, reliability, and the effectiveness of their containerized deployments, ensuring high-quality and dependable AI solutions.
• • This position requires a strong aptitude for rapid prototyping and iteration. You will move quickly from concept to production, experimenting with new agent capabilities and deployment patterns to accelerate innovation and deliver value to developers.
• • Engaging with the `cagent` open-source community is a key aspect of the role. This includes reviewing community contributions, fostering collaboration, and actively helping to grow the `cagent` ecosystem, ensuring its continued success and adoption.
• • You will collaborate closely with product managers, designers, and fellow engineers across Docker's AI teams. This cross-functional partnership is essential for integrating containerized agent capabilities seamlessly into the broader Docker developer experience.
• • As a Staff Engineer, you will partner with engineering leadership to help set technical direction and provide guidance and mentorship to a growing team. Your experience will be vital in maturing the team's technical practices and fostering a culture of excellence.
• • You will participate in an on-call rotation, ensuring the reliability and availability of the systems you help build. This involves responding to incidents, debugging production issues, and driving continuous improvements to system stability and performance.
• • This role offers the chance to influence the technical direction of critical AI infrastructure at Docker, impacting millions of developers who rely on our tools. You will drive major architectural decisions and contribute to the strategic roadmap for containerized AI agents.
• • You will help onboard and mentor new team members, sharing your expertise and contributing to the team's overall growth and development.
• • You will analyze user feedback and engage with internal stakeholders to ensure our AI agent solutions meet the evolving needs of the developer community.
• • The position provides an excellent platform to grow your skills in enterprise-grade containerized AI system architecture and deployment, positioning you at the forefront of this exciting technological intersection.
• • Ultimately, you will help shape the future direction of `cagent` and Docker's broader AI agent ecosystem, leaving a significant mark on the company and the developer community.