Staff Software Engineer

Who you are

• Go Expertise: Strong, demonstrated, professional 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 (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

What the job involves

• You’ll be working on Docker Agent, our open-source project 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
• 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
• 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

Benefits

• 100% company paid medical premiums for employees and dependents
• Flexible Time Off Policy
• “Whaleness” Days — At least 1 company wide day off per month
• Employer Paid Holidays
• Generous Maternity and Parental Leave
• Home Office Set Up Budget
• Monthly Technology Stipend
• Training Allowances
• Life and Disability Insurance
• Retirement Plans
• Virtual and In-Person Social Events
• Docker Swag
• Quarterly Hackathons
• Virtual Coffee with Co-Workers