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 containerisation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on open-source contributions and community engagement.
- Why this job: Shape the future of AI development with cutting-edge technology and innovative projects.
- 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) employer: Deepstreamtech
As a Staff Software Engineer at Docker, you will join a vibrant and innovative team dedicated to pushing the boundaries of container technology and AI. With a strong emphasis on collaboration and professional growth, Docker offers a dynamic work culture that encourages rapid prototyping and open-source contributions, allowing you to make a meaningful impact in the tech community. Located in a thriving tech hub, employees benefit from a supportive environment that fosters creativity and continuous learning, making Docker an exceptional employer for those looking to advance their careers in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer (Docker Agents)
✨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. This is your chance to demonstrate your expertise and make a lasting impression on 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 genuine interest and can set you apart from the crowd.
✨Tip Number 4
Leverage our website! We’ve got loads of resources and job listings that can help you land that Staff Software Engineer role. Plus, applying through us means you’re already part of the StudySmarter community, which can give you an edge!
We think you need these skills to ace Staff Software Engineer (Docker Agents)
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! We’re keen to hear about your practical applications and how you’ve tackled challenges in this area.
Demonstrate Your System Architecture Know-How:We love a good architect! Share examples of scalable, distributed systems you've designed. This is your chance to show us how you think about system design and what best practices you follow.
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 spirit, so tell us how you've been involved and what impact you've made.
How to prepare for a job interview at Deepstreamtech
✨Master Go and Docker
Since Go expertise is a must-have for this role, make sure you brush up on your Go skills before the interview. Be ready to discuss your past projects and how you've used Go in real-world applications, especially in relation to Docker and containerization.
✨Showcase Your AI/ML Knowledge
Prepare to talk about your experience with large language models and agent development. Think of specific examples where you've implemented AI techniques, particularly in the context of Docker or containerized systems, and be ready to explain your thought process.
✨Demonstrate System Architecture Skills
Be prepared to discuss your experience designing scalable, distributed systems. Bring examples of past projects where you’ve successfully built such systems, focusing on how you approached architecture decisions and what challenges you faced.
✨Engage with Open Source Contributions
If you have experience with open-source projects, especially related to Docker or AI frameworks, highlight this during your interview. Discuss your contributions and how you’ve engaged with the community, as this shows your commitment and ability to collaborate effectively.
