Staff Software Engineer - Customer Engagement & Docs Platform
Databricks1 year ago
Base Salary
$190k - $260k/yr
Responsibilities
- Lead the design, development, and deployment of systems for evaluation, answer retrieval, and quality improvement.
- Lead architectural decisions supporting the performance, reliability, and accuracy of knowledge systems.
- Drive engineering best practices across design reviews, code quality, testing strategies, and performance optimization.
- Deliver production-ready code and services end-to-end, including performance tuning, resiliency improvements, and live-environment debugging.
- Contribute to long-term technical planning and strategic initiatives across the Assistant and Support organizations.
- Analyze user behavior and technical use cases using product, machine learning, and LLM capabilities in a secure enterprise environment.
Requirements
- 6+ years of industry experience building and operating large-scale distributed systems.
- Demonstrated proficiency in machine learning and software engineering with a strong product-oriented approach.
- Ability to define and structure solutions in ambiguous problem domains.
- Ability to mentor and guide junior engineers and collaborate across team boundaries.
- Track record of driving high-impact, technically complex initiatives with clear customer or business value.
- Prior experience with retrieval systems and search technologies is a plus.
Benefits
- Comprehensive benefits and perks, with region-specific details available through Databricks’ benefits portal.
Tech Stack
Categories
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).