At a Glance
- Tasks: Design and implement scalable systems for AI agents using Docker technology.
- Company: Join a leading tech company at the forefront of AI and container technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of an innovative open-source community and drive impactful projects.
- Why this job: Shape the future of AI development with cutting-edge tools and a collaborative team.
- Qualifications: Expertise in Go, Docker, and experience with AI/ML systems required.
The predicted salary is between 80000 - 100000 € per year.
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 (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
What the job involves
- You’ll be working on Docker Agent, 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.
- 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.
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.
Staff Software Engineer (Docker Agents) in London employer: Deepstreamtech
As a Staff Software Engineer at Docker, you will be part of a pioneering team that is shaping the future of AI and container technology. Our collaborative work culture fosters innovation and rapid prototyping, allowing you to make significant contributions to open-source projects while enjoying ample opportunities for professional growth. With a commitment to employee development and a vibrant community engagement, Docker offers a unique environment where your expertise in Go and AI can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer (Docker Agents) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Go, Docker, or AI/ML. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each company. Research their culture, values, and recent projects. When you reach out, mention how your experience aligns with their goals—this shows you’re genuinely interested and not just sending out generic applications.
✨Tip Number 4
Use our website to apply! We’ve got a streamlined process that makes it easy for you to showcase your skills and experience. Plus, applying through us means you’ll be in the loop for any updates or opportunities that come up!
We think you need these skills to ace Staff Software Engineer (Docker Agents) in London
Some tips for your application 🫡
Show Off Your Go Skills:Make sure to highlight your strong proficiency in Go right from the start. We want to see how you've used it in real projects, especially in backend systems. Don’t hold back on showcasing any cool stuff you’ve built!
Talk About Your AI/ML Experience:If you've got hands-on experience with large language models or agent development, let us know! Share specific examples of how you've applied this knowledge in your work. We love seeing practical applications.
Demonstrate Your System Architecture Know-How:We’re looking for someone who can design scalable, distributed systems. Include details about your past projects where you’ve tackled system architecture challenges. This is your chance to shine!
Engage with the Open Source Community:If you've contributed to open source projects or engaged with communities, mention it! We value collaboration and community involvement, so share your experiences and how they’ve shaped your skills.
How to prepare for a job interview at Deepstreamtech
✨Show Off Your Go Skills
Make sure to brush up on your Go expertise before the interview. Be ready to discuss specific projects where you've used Go, especially in backend systems. They’ll want to see how you’ve tackled challenges and implemented solutions using this language.
✨Demonstrate Your AI/ML Knowledge
Prepare to talk about your experience with large language models and agent development. Have examples ready that showcase your practical experience, particularly any projects involving Retrieval-Augmented Generation systems. This will highlight your ability to integrate AI techniques into container technology.
✨Understand Container Technology Inside Out
Since this role heavily involves Docker and container orchestration, make sure you can discuss best practices and your understanding of containerisation. Be prepared to explain how you’ve designed scalable, distributed systems using Docker in previous roles.
✨Engage with the Open Source Community
If you have contributions to open source projects, be sure to mention them! Discuss your involvement with the cagent community or similar projects. This shows your commitment to collaboration and growth within the tech community, which is a big plus for them.
