Staff Software Engineer, Docker Agents

Staff Software Engineer, Docker Agents (London) At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (https://github.com/docker/cagent), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. Responsibilities - As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures - Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability - Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration - Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers - RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) - Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness - Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently - Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem - Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience - On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability