At a Glance
- Tasks: Join Docker's AI team to build innovative containerized AI agents and enhance the cagent project.
- Company: Docker, a leading tech company revolutionising app development with a remote-first culture.
- Benefits: Enjoy flexible work hours, generous parental leave, and a technology stipend.
- Other info: Dynamic environment with opportunities for career growth and collaboration.
- Why this job: Shape the future of AI with cutting-edge technology and make a real impact.
- Qualifications: Strong Go programming skills and experience with AI/ML systems are essential.
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 note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement.
Responsibilities- 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: Respond to incidents, debug production issues, and drive continuous improvement of system reliability.
- 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 (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).
- 8+ years of directly applicable experience.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 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.
Docker does not offer visa sponsorship for this role.
Perks- Freedom to 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.
Remote Staff Software Engineer, Docker Agents (London) employer: Docker
Docker is an exceptional employer that champions innovation and collaboration within a remote-first culture, allowing you to work flexibly while contributing to groundbreaking projects in AI and container technology. With generous benefits such as a technology stipend, paid parental leave, and designated wellness days, Docker prioritises employee well-being and growth, making it an ideal place for talented engineers to thrive and shape the future of app development from London.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Staff Software Engineer, Docker Agents (London)
✨Tip Number 1
Network like a pro! Reach out to current Docker employees on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. A friendly chat can give you insider info that could set you apart!
✨Tip Number 2
Show off your skills! If you've worked on projects similar to cagent or have experience with container technology, create a portfolio or GitHub repo showcasing your work. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, Docker loves innovation, so think outside the box when solving problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Docker team. Let’s make this happen!
We think you need these skills to ace Remote Staff Software Engineer, Docker Agents (London)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Software Engineer role. Highlight your Go expertise and any relevant experience with Docker and AI/ML. We want to see how your skills align with what we're looking for!
Showcase Your Projects:If you've worked on open-source projects or have experience with container technology, don’t hold back! Share links to your GitHub or any relevant work that demonstrates your capabilities. We love seeing practical examples of your skills.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point—just like our code!
Apply Through Our Website:We encourage you to submit your application through our official website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Docker!
How to prepare for a job interview at Docker
✨Know Your Go
Since Go expertise is a must-have for this role, make sure you brush up on your Go skills. Be prepared to discuss your past projects and how you've used Go in real-world applications. Practising coding challenges in Go can also help you demonstrate your proficiency.
✨Familiarise with cagent
Dive into the cagent project on GitHub before your interview. Understand its architecture and current capabilities. Being able to discuss specific features or suggest improvements will show your genuine interest and initiative, which Docker values highly.
✨Showcase Your AI Knowledge
Since the role involves working with AI agents, be ready to talk about your experience with large language models and any relevant AI frameworks. Prepare examples of how you've integrated AI into your projects, especially if you've worked with Retrieval-Augmented Generation systems.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Docker's AI engineering team, their future projects, and how they envision the evolution of containerized AI agents. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
