CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .
About this Role:
We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of Managed databases for AI-workloads. In this role, you will help shape the vision and direction on how customers and internal stakeholders store and access operational data for AI/ML workloads. Further, the role will define the strategy and lead vertical stack integration of data needs for AI inferencing and Agentic flows. You will have direct access to customers and work closely with engineering stakeholders across CoreWeave products.
What You'll Do:
- Define and drive CoreWeave’s Managed databases technical roadmap and strategy.
- Design and implement advanced database solutions applicable to AI workloads, while ensuring fault tolerance, high-scale and low-latency.
- Build solutions that offer programmatic access to creating, scaling, and modifying databases.
- Champion initiatives to improve reliability, durability, and self-healing capabilities of systems, and assume operational responsibilities.
- Develop operational review practices to assess performance against targets and iterating on those targets.
- Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.
- Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.
Who You Are:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 10+ years of experience in distributed systems, with a focus on reliability and scale. Hands-on technical leader.
- Prior experience with managed databases as a SaaS offering.
- Proven experience building products to address customer needs.
- Prior experience of building AI features in production is a plus.
- Proficiency in Golang or Python.
- Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation.
- Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements.
- Strong communication and interpersonal