Senior or Staff Software Engineer (Docker Agents)

Overview

Job Description

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

Required Skills

• - 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)

Benefits

• - Freedom & flexibility; fit your work around your life
• - Designated quarterly Whaleness Days
• - 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
• - Quarterly, company-wide hackathons
• - 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