Staff Software Engineer, Docker Agents

🕒 March 14

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Docker, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

💰 $105M Series C on 2022-03

At Docker, we simplify the lives of developers who are making world-changing apps. Docker helps developers bring their ideas to reality by conquering the complexity of app development. We simplify and accelerate workflows with an integrated development pipeline and application components. Actively used by millions of developers around the world, Docker Desktop and Docker Hub provide unmatched simplicity, agility and choice.

📋 Description

• 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