Databricks
Databricks

60 Databricks Staff Software Engineer Jobs Hiring Near You

Showing results 21-40

Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
Infographic showing various Staff Software Engineer job openings at Databricks in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.
Staff Software Engineer - Agent Quality

Staff Software Engineer - Agent Quality

Databricks

Manhattan, NY • On-site

Full-time

Posted 10 days ago


Job description

Job Summary:
Databricks is a data and AI company that focuses on enabling data teams to solve complex problems. As a Staff Software Engineer - Agent Quality, you will be responsible for designing and scaling the infrastructure for evaluating and improving AI agents, ensuring high-quality performance across the lifecycle.
Responsibilities:
• Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams.
• Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development.
• Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform.
• Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform.
Qualifications:
Required:
• 6+ years industry experience building software systems
• Strong Python programming skills, with experience building production or research infrastructure
• Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity
• Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications
• Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms
• A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams
Preferred:
• Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure
• Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.