Senior Software Engineer, Docker Agents (London or Paris)

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!This is a remote position open to candidates based in London, UK or Paris, France.. If you’re located in or near Paris, France, we also have an office space available should you prefer to work on-site.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 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.ResponsibilitiesBuild Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portabilityExpand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestrationAgent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containersRAG 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 effectivenessRapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficientlyOpen Source Community: Engage with the cagent community, review contributions, and help grow the ecosystemCross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experienceQualificationsGo Expertise: Strong proficiency in Go (this is absolutely required) - Docker's primary language for backend systemsAI/ML Knowledge: Practical experience with large language models (LLMs) and agent developmentSystem Architecture: Proven ability to design scalable, distributed systemsContainer Technology: Deep understanding of Docker, containerization best practices, and container orchestrationRAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus)Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedbackAI 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)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 experienceBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experienceWhat to ExpectFirst 30 daysIntegrate into our dynamic AI engineering team building containerized agent infrastructureDeep dive into cagent's ... (truncated, view full listing at source)