Remote Staff Software Engineer, Docker Agents (London)

Docker
Southend-on-Sea, United Kingdom
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Southend-on-Sea, United Kingdom

Tech stack

Artificial Intelligence
Software Debugging
Distributed Systems
Python
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

Job 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

Requirements

  • 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

About the company

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, 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., Please see the independent bias audit report covering our use of Covey here . Perks * 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 Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

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