Staff Software Engineer, Docker Agents
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Job Description
Staff Engineer building containerized AI agents at Docker, focusing on cagent development and collaboration with AI teams. Leveraging Docker's technology for AI solutions and orchestrating deployment.
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
Requirements:
- Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required)
- 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 (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)
- 8+ years of directly applicable experience
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Benefits:
- 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
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