Staff Software Engineer - Customer Engagement & Docs Platform

Databricks; San Francisco (CA); On-site; USD 190,000 - 260,000; Full time

Benefits offered by this job

Comprehensive benefits

Inclusive culture

Opportunities for advancement

Job summary

A leading data and AI firm in San Francisco is seeking a Staff Engineer to develop and manage large-scale distributed systems while leveraging machine learning. The ideal candidate will have over 6 years of experience and the ability to mentor junior engineers. This role requires a focus on engineering excellence, including performance optimizations and driving technical initiatives. Competitive salary range is $190,000 - $260,000 USD.

Qualifications

• 6+ years of industry experience building and operating large-scale distributed systems.
• Demonstrated technical proficiency in machine learning and software engineering.
• Ability to define and structure solutions in ambiguous problem domains.

Responsibilities

• Lead design, development, and deployment of systems for evaluation and answer retrieval.
• Drive best practices for engineering excellence and performance optimizations.
• Deliver high-quality, production-ready code and services end-to-end.

Skills

Building large-scale distributed systems

Machine learning proficiency

Software engineering

Mentorship

Collaboration across teams

Technical initiative driving

Job description

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our AI-powered Assistant serves as the initial point of contact for customers seeking assistance on how to use our platform effectively. The Customer Engagement and Docs platform team's objective is to help customers resolve their problems faster using AI / LLMs. We provide customers with precise and comprehensive solutions to their problems or build experiences to facilitate a seamless escalation to a support agent when necessary.

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.

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

Local Pay Range

$190,000 — $260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.