DockerSenior Software Engineer, Docker Agents
Docker seeks a Senior Software Engineer for its AI team in Paris to build containerized AI agents using Go. Requires 6+ years of experience and strong Go/AI/container knowledge.
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!
We are looking for a Senior Software Engineer (Docker Agents) to 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 Docker Agent, our open-source project (https://github.com/docker/docker-agent) 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.
This is a remote-first position, and this role is only open only to candidates who are currently located with a reasonable commuting distance to Paris, France.
We also have an office space available in Paris should you prefer to work on-site frequently. We are unable to make an exception regarding the location at this time.
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
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
Qualifications
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 (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)
6+ years of directly applicable experience
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
What to Expect
First 30 days
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
In collaboration with your manager, you will have a Career Development Plan that will outline your trajectory beyond your first year.
Docker considers sponsorship on a case-by-case basis based on business needs.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024.
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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