Sr. Staff Technical Program Manager - Reliability
Databricks · Bellevue, WA | Seattle, WA · Engineering - Pipeline
About this role
Databricks is hiring a senior-level Technical Program Manager in the software engineering function based in Bellevue, WA | Seattle, WA. The posting calls out experience with AWS, GCP, Azure, Spark. Compensation is listed at $180,200–$243,340 per year.
- Role
- Technical Program Manager
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bellevue, WA | Seattle, WA
- Department
- Engineering - Pipeline
More roles at Databricks
Job description
from Databricks careersP-1489
About Databricks
At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business.
The Role
We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure.
This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on.