Senior Software Engineer, Docker Agents (Paris Metro Area Only)

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! We are looking for a Senior Software Engineer (Docker Agents) to 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 Docker Agent, our open-source project (https://github.com/docker/docker-agent) 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. This is a remote-first very flexible/hybrid position, but this role is only open only to candidates who are currently located with a reasonable commuting distance to Paris, France. We have an office space available in Paris should you prefer to work on-site frequently. We are unable to make an exception regarding the location at this time. RESPONSIBILITIES - 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 Docker Agent 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 Docker Agent 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 QUALIFICATIONS - Go Expertise: Strong proficiency in Go is highly desired (if you're not proficient, then we will look for your ability/willingness to ramp up and work in Go - this is Docker's primary language for backend systems) - AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development - System Architecture: Proven ability to design scalable, distributed systems - Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration - RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) - Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback - AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) - Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) - Experience with Kubernetes or container orchestration platforms (preferred) - Open source contributions and community engagement (preferred) - Experience with agent evaluation, reliability, and observability techniques (preferred) - 6+ years of directly applicable experience - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience WHAT TO EXPECT FIRST 30 DAYS - Integrate into our dynamic AI engineering team building containerized agent infrastructure - Deep dive into Docker Agent's architecture and our containerized agent deployment roadmap - Contribute your first enhancements to Docker Agent with the help of your team - Understand our technical stack and begin collaborating with sister AI teams FIRST 90 DAYS - Lead significant features or improvements to Docker Agent and our containerized agent platform - Enhance agent deployment capabilities and container-based orchestration patterns - Collaborate with the open-source community on Docker Agent development -