Description
At Databricks, we enable data teams to solve complex problems by building and running the world's best data and AI infrastructure platform.
As the Technical Lead on the Lakebase Manager (LBM) team, you will drive, build, and operate the central control plane that owns the core logic for Lakebase, including database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more.
Responsibilities:
- Set the technical direction for LBM and own the quality and reliability of what the team ships
- Drive architecture and design, and write code on the hardest parts of your team's projects
- Set and uphold high technical standards through architecture reviews, testing, and a culture of engineering excellence
- Raise the technical bar of the team: mentor engineers, drive rigorous design and code review, and grow their distributed-systems and design skills
- Define SLIs, meet SLOs, and drive long-term reliability improvements across the database lifecycle
- Lead cross-team initiatives across the Lakebase stack: align with partner teams on dependencies and unblock cross-cutting projects
- Partner with engineering and product leadership to shape and deliver a long-term technical roadmap
Requirements:
- 8+ years designing, building, and operating large-scale distributed systems
- A track record of technical leadership as an individual contributor
- Strong hands-on depth: design systems and write production code
- Experience operating reliability-critical, highly available services
- Comfortable working toward a multi-year vision with incremental deliverables
- Ability to align multiple stakeholders on competing priorities
- Motivated by delivering customer value and impact
- Proficiency in Go, Rust, or a similar systems language; experience with PostgreSQL and Kubernetes is a plus
Benefits:
- Comprehensive benefits and perks that meet the needs of all employees
- Eligibility for annual performance bonus, equity, and other benefits
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/databricks/jobs/8639477002