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60 Databricks Staff Software Engineer Jobs Hiring Near You

Staff Software Engineer - Money Team

Bellevue, WA · On-site

$182.40K - $247K/yr

Staff Software Engineer - Money Team P-940 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this ...

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Databricks Jobs Information

What are the key skills and qualifications needed to thrive as a Staff Software Engineer, and why are they important?

To thrive as a Staff Software Engineer, you need deep expertise in software development, system architecture, and problem-solving, often supported by a relevant degree and significant industry experience. Mastery of programming languages (such as Java, Python, or C++), cloud platforms, version control systems, and familiarity with CI/CD pipelines are typically required. Exceptional leadership, strong communication, and mentorship abilities set candidates apart in this role. These skills are essential for designing scalable solutions, guiding technical teams, and ensuring the successful delivery of complex projects.

How does a Staff Software Engineer typically contribute to setting technical direction within a team?

As a Staff Software Engineer, you are expected to play a pivotal role in shaping the technical roadmap and ensuring architectural consistency across projects. This often involves mentoring junior engineers, reviewing system designs, and making critical decisions on technology choices and best practices. You'll collaborate closely with product managers, engineering leads, and other stakeholders to align technical goals with business objectives. Your leadership helps foster innovation while maintaining high standards for code quality and system reliability.

What is a Staff Software Engineer?

A Staff Software Engineer is a senior-level technical role responsible for designing, developing, and overseeing complex software systems. They often serve as technical leaders within their teams, guiding architecture decisions, mentoring junior engineers, and collaborating across departments. Staff Software Engineers are expected to solve high-impact engineering problems, set technical standards, and ensure the quality and scalability of software products. Their role typically involves both hands-on coding and strategic planning to drive technological innovation within an organization.

What engineer can make $500,000 a year?

A Staff Software Engineer at senior levels in large tech companies or specialized fields can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced technical skills, and a track record of leadership and impact within high-paying organizations.

What is the difference between Staff Software Engineer vs Senior Software Engineer?

AspectStaff Software EngineerSenior Software Engineer
Required CredentialsBachelor's or Master's in CS or related field; extensive experienceBachelor's or Master's in CS; significant experience
Work EnvironmentLeads projects, mentors teams, influences technical strategyDevelops features, solves complex problems, mentors juniors
Employer & Industry UsageCommon in large tech companies, enterprise environmentsWidespread across startups, mid-sized, and large companies

The main difference between a Staff Software Engineer and a Senior Software Engineer lies in scope and influence. Staff Engineers typically lead technical initiatives, mentor multiple teams, and shape engineering strategies, while Senior Engineers focus on developing features and solving complex problems within their teams. Both roles require strong technical skills, but Staff Engineers have a broader impact across projects and departments.

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 May 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

New York, NY • On-site

Other

Posted 27 days ago


Job description

Staff Software Engineer - Agent QualityP-1215

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems. 

As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously - driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production.

The impact you will have
  • 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.
What we look for
  • 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
Nice to have
  • 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