Staff Software Engineer - Customer Engagement & Docs Platform

We are seeking a Staff Software Engineer to join our Customer Engagement and Docs platform team. As a Staff Engineer, you will operate at the intersection of Product development and Machine Learning. You will gain a deep understanding of user behavior, identify factors contributing to problems, and leverage Product, Machine Learning (ML), and Large Language Models (LLMs) to analyze intricate technical use cases within a secure enterprise environment.

The impact you will have:

• Lead design, development, and deployment of systems for Evaluation, Answer retrieval, and Quality improvement for helping customers.
• Lead architectural decisions to ensure performance, reliability, and accuracy of the knowledge systems.
• Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
• Deliver high-quality, production-ready code and services end-to-end , including performance tuning, resiliency improvements, and debugging in live environments.
• Contribute to longer-term technical planning and support strategic initiatives in Assistant and Support organizations.

What we look for:

• 6+ years of industry experience building and operating large-scale distributed systems.
• Demonstrated technical proficiency in machine learning and software engineering, coupled with a strong product-oriented approach.
• The capacity to define and structure solutions in ambiguous problem domains.
• Ability to mentor and guide junior engineers, as well as to effectively collaborate across various team boundaries.
• Track record of driving high-impact, technically complex initiatives that delivered clear customer or business value.
• Prior experience with retrieval systems and search technologies is a plus.

Pay Range Transparency The pay range for this role is $190,000-$260,000 USD.

Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.