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# Remote Staff Software Engineer, Docker Agents (London)

- **Company:** Docker
- **Location:** Portsmouth, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Debugging, Distributed Systems, Python (Programming Language), Open Source Technology, Performance Tuning, Rapid Prototyping Process, Systems Architecture, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Reliability of Systems, Backend, Containerization, Kubernetes, Information Technology, Docker
- **Published:** June 25, 2026
- **Apply:** https://find.jobs/jobs-near-me/remote-staff-software-engineer-docker-agents-london-portsmouth-hampshire/2834637669-2/

## About the Role

* 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

## 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, * 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


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