Staff Software Engineer, Technical Lead, Lakebase Manager (LBM)

Databricks


Job Location:

Bellevue, WA - USA

Monthly Salary: Not Disclosed
Posted on: 16 hours ago
Vacancies: 1 Vacancy

Job Summary

P-988

At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed we leap at every opportunity to solve technical challenges from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And were only getting started.

Lakebase enables teams to deliver applications faster with an optimized database developer experience integration with the lakehouse and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data analytics and AI. Youll join as one of the key engineers building out the Lakebase product.

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: database creation and deletion wake-up and suspend maintaining computes on hot standby HA failover and more. LBM interacts with every Lakebase component (storage compute proxy and console) and manages the full database lifecycle at scale with a focus on reliability. This is a hands-on individual-contributor role: you lead the team technically and partner with the teams engineering manager who owns people management and delivery planning. The stack is Go Rust PostgreSQL and Kubernetes.

The impact you will have:

  • Set the technical direction for LBM and own the quality and reliability of what the team ships driving execution on the hardest highest-risk parts.
  • Drive architecture and design and write code on the hardest parts of your teams 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.

What we look for:

  • 8 years designing building and operating large-scale distributed systems including the processes around testing monitoring and SLIs/SLOs.
  • A track record of technical leadership as an individual contributor: setting architecture and direction for a teams projects through influence without formal management authority.
  • Strong hands-on depth: you still design systems and write production code and can go deep on architecture for large-scale distributed services.
  • Experience operating reliability-critical highly available services (on-call incident response HA/failover).
  • Comfortable working toward a multi-year vision with incremental deliverables and balancing short-term delivery against long-term stability.
  • 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.
  • BS (or higher) in Computer Science or a related field.

Required Experience:

Manager

P-988At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the worlds best data and AI infrastructure platform ...

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