Original listing text, shown exactly as published by the company.
Responsibilities
- Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns
- 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 Docker Agent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management
- Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments
- Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes
- Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed
- 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: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts)
- Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
Qualifications
- 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope)
- 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 patterns; hands-on experience using AI for Software development
- System Architecture: Proven ability to design scalable, distributed systems in production environments
- Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration
- Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles
- Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance
- Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains
- 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 ExpectFirst 30 days
- Integrate into our AI engineering team building containerized agent infrastructure
- Deep dive into Docker Agent's architecture, project roadmap, and the developer problems we’re solving
- Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities
- Contribute initial improvements to Docker Agent and the containerized agent runtime foundations
First 90 days
- Lead significant platform features or architectural improvements to Docker Agent and our containerized agent ecosystem
- Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems
- Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience
- Mentor engineers through design reviews and help accelerate onboarding and execution
One-Year Outlook
- Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users
- Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces)
- Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems
- Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations
- Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery
Docker does not offer visa sponsorship for this role.
