senior software engineering Full Stack Engineer ic
$166,000 – $225,000
USD per year

About this role

Databricks is hiring a senior-level Full Stack Engineer in the software engineering function based in Mountain View, CA | San Francisco, CA. The posting calls out experience with Python, JavaScript, Java, Scala. Compensation is listed at $166,000–$225,000 per year.

Role
Full Stack Engineer
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Mountain View, CA | San Francisco, CA
Department
Engineering - Pipeline

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Job description

from Databricks careers

P-160

Who We Are

Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system's performance, along with a suite of tools to improve the quality of the GenAI systems. With features like real-time alerts, detailed logging, and anomaly detection, customers can quickly identify and fix issues that affect the quality of their GenAI systems. This is a great opportunity to use next-gen tools for continuous monitoring, testing, and feedback, while applying cutting-edge technologies like AutoML/AutoRag, LLM fine-tuning, Prompt Optimization and Automation to improve the performance and quality of GenAI systems.

We are looking for a passionate and experienced Senior Full-Stack Software Engineer to join our dynamic team. This role will offer you the opportunity to contribute to both the front-end and back-end development of our product, while also allowing you to bring your strong product sense and UI/UX design expertise to life. The ideal candidate will have a solid track record in full-stack development, with the ability to design and implement intuitive and engaging user interfaces, as well as architect scalable and efficient backend systems.

What You’ll Do

  • Full-Stack Development: Design, develop, and maintain both front-end and back-end components of our web applications.
  • This is an excerpt. Read the full job description on Databricks careers →
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