Staff Software Engineer - Customer Engagement & Docs Platform
Databricks · San Francisco, California · Engineering - Pipeline · listed June 10, 2025
The shape of it
Seniority
Staff
Experience asked
6+ years
Where
Not stated
Stated pay
$190,000 – $260,000 USD
Requirements listed
6
Length
765 words
In the posting’s own words
As a Staff Engineer, you will operate at the intersection of Product development and Machine Learning. Responsibilities include gaining a deep understanding of user behavior; identifying factors contributing to problems; leveraging Product, Machine Learning (ML) and Large Language Models (LLMs) to analyze intricate technical use cases within a secure enterprise environment and eventually providing a path to resolving them.
What it asks for · 6
- 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.
What the job covers
- 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.
Tools and skills named
Models & research
- Machine learning4×
- LLM3×
Cloud & infra
- Distributed systems
Data
- Databricks
Product & design
- User experience
Ways of working
- Testing
Words the posting leans on
- customers8×
- problems5×
- data4×
- systems4×
- technical4×
- development3×
- engineers3×
- experience3×
- machine learning3×
- performance3×
- platform3×
- support3×
- assistant2×
- building2×
- business2×
- code2×
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