Senior 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!

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 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.

Qualifications

• Go Expertise: Strong proficiency in Go (this is absolutely required) - 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).

What to expect

• First 30 days: Integrate into our dynamic AI engineering team building containerized agent infrastructure; deep dive into cagent's architecture and our containerized agent deployment roadmap; contribute your first enhancements to cagent 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 cagent and our containerized agent platform; enhance agent deployment capabilities and container-based orchestration patterns; collaborate with the open-source community on cagent development; help other new team members onboard; regularly interact with internal stakeholders and analyze user feedback.
• One Year Outlook: Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users; continue to help grow the team and develop efficient agent development processes; contribute to evaluation frameworks and performance optimization across our agent systems; lead initiatives to expand containerized agent capabilities for enterprise use cases; grow your skills in enterprise-grade containerized AI system architecture and deployment; shape the future direction of cagent and Docker's agent ecosystem.

Note: Docker does not offer visa sponsorship for this role.

Perks:

• Freedom & flexibility; fit your work around your life.
• Designated quarterly Whaleness Days plus end of year Whaleness break.
• Home office setup; we want you comfortable while you work.
• 16 weeks of paid Parental leave.
• Technology stipend equivalent to $100 net/month.
• PTO plan that encourages you to take time to do the things you enjoy.
• Training stipend for conferences, courses and classes.
• Equity; we are a growing start-up and want all employees to have a share in the success of the company.
• Docker Swag.
• Medical benefits, retirement and holidays vary by country.
• Remote-first culture, with offices in Seattle and Paris.

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.