Remote Staff Software Engineer, Docker Agents (London) in Lancaster

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

Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary for backend systems \n

• \n AI/ML Knowledge: Practical experience with large models (LLMs) and agent development \n

• \n System Architecture: Proven ability to design scalable, distributed systems \n

• \n Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration \n

• \n RAG Systems: Experience building Retrieval-Augmented systems (secondary focus) \n

• \n Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback \n

• \n AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (peferred), Python Proficiency: Experience with Python for AI prototyping and tooling (prefered)

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• \n Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability \n

• \n Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration \n

• \n Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers \n

• \n RAG Integration: Enhance agent capabilities with Retrieval-Augmented systems to provide contextual knowledge and domain expertise (secondary focus) \n

• \n Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness \n

• \n Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently \n

• \n Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem \n

• \n 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 \n

• \n 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 \n

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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! \n 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. \n 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. \n 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.