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60 Databricks Staff Software Engineer Jobs Hiring in CA

Databricks

Staff Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

P-1691 At Databricks, we're passionate about enabling data teams to solve the world's toughest ... As the Staff Software Engineer for Customer Experience Intelligence, you will architect and deliver ...

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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.

What are the most popular jobs at Databricks in California?

What are the most popular states for Databricks Staff Software Engineer Jobs?

Infographic showing various Staff Software Engineer job openings at Databricks in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 93% Physical, and 7% Remote job distribution.

Staff Software Engineer, Observability

Databricks

Mountain View, CA • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Databricks is a data and AI company dedicated to enabling data teams to solve complex problems through their advanced platform. The Staff Software Engineer in the Observability team will develop observability solutions to enhance the health and performance monitoring of the company's infrastructure and products. This role involves building observability platforms, managing cloud infrastructure, and mentoring engineers to improve technical excellence within the team.
Responsibilities:
• You will build the next generation of observability platforms that support billions of active time series and process petabytes of logs daily.
• You will manage infrastructure across nearly a hundred cloud regions, enabling all Databricks engineers and customers to monitor the reliability of our product.
• You will develop advanced workflows that accelerate incident diagnosis for Bricksters, allowing engineers to quickly derive insights from logs and metrics.
• You will leverage powerful capabilities of Databricks’ own data intelligence platform to push the boundaries of troubleshooting practices in the industry.
• You will uplevel monitoring and reliability practices across Databricks engineering, developing opinionated tools that set common standards for managing structured logs, metrics, alerts, dashboards, and oncall rotations.
• Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community.
Qualifications:
Required:
• BS (or higher) in Computer Science, or a related field.
• 7+ years of production-level experience in one of: Go, Python, Java, Scala, Rust, C++, or similar languages.
• Experience in software development, in large-scale distributed systems.
• Experience driving large projects involving multiple teams.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Familiarity with observability infrastructure, monitoring patterns, and reliability practices.
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.

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