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- Tasks: Join Docker's AI team to build innovative containerized AI agents and enhance developer experiences.
- Company: Docker, a leading tech company revolutionising app development with a remote-first culture.
- Benefits: Enjoy flexible work, competitive pay, generous parental leave, and a tech stipend.
- 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 and container technologies.
- Other info: Dynamic team environment with opportunities for growth and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
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 (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).
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.
Docker does not offer visa sponsorship for this role. 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.
Senior Software Engineer, Docker Agents (London) employer: Docker
Contact Detail:
Docker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior 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 landing a role at Docker. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub profile, make sure it’s up to date with your best projects, especially those related to Go or container technology. This is your chance to demonstrate your expertise and passion for the field.
✨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 values 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, you’ll be part of our community from the get-go, which is always a bonus!
We think you need these skills to ace Senior Software Engineer, Docker Agents (London)
Some tips for your application 🫡
Show Off Your Go Skills: Make sure to highlight your proficiency in Go, as it's a must-have for this role. Share specific projects or experiences where you've used Go effectively, especially in building scalable systems.
Demonstrate Your AI Knowledge: Since this role involves AI and ML, don’t forget to mention any relevant experience you have with large language models or agent development. We want to see how you can leverage these technologies in containerized environments.
Engage with Open Source: If you've contributed to open-source projects, especially related to Docker or AI, make it known! This shows your commitment to community engagement and collaboration, which is super important to us.
Tailor Your Application: Take the time to customise your application for this role. Use keywords from the job description and explain how your skills align with our mission at Docker. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Docker
✨Know Your Go Inside Out
Since strong proficiency in Go is a must 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 to solve complex problems, especially in the context of backend systems.
✨Familiarise Yourself with cagent
Take some time to explore the cagent project on GitHub. Understand its architecture and current capabilities. Being able to discuss potential enhancements or features you could contribute will show your genuine interest and initiative.
✨Showcase Your AI/ML Knowledge
Since the role involves working with AI agents, be ready to talk about your experience with large language models and agent development. Prepare examples of how you've integrated AI techniques into your previous work, particularly in relation to container technology.
✨Engage with the Open Source Community
Docker values community engagement, so if you've contributed to open-source projects, be sure to highlight that. Discuss any interactions you've had with communities, especially around cagent or similar projects, to demonstrate your collaborative spirit.
