Staff Software Engineer, Metrics and Logging

Databricks; Mountain View (CA); On-site; USD 190,000 - 261,250; Full time

Job summary

Databricks is seeking a Staff Software Engineer to lead the development of the next generation logging infrastructure. This role involves building efficient logging solutions that enhance observability across all Databricks services. The ideal candidate will have over 7 years of experience in software development, expertise in distributed systems, and a strong background in languages like Scala, Rust, or Python. The position offers a competitive salary range from $190,000 to $261,250 annually.

Qualifications

• 7+ years of production-level experience in one of: Scala, Rust, Go, Python, Java, C++, or similar languages.
• Deep experience in software development, in large-scale distributed systems.
• Experience driving complex projects involving multiple teams and stakeholders.

Responsibilities

• Drive the next generation of logging infrastructure at Databricks.
• Build scalable and efficient logging solutions for observability.
• Collaborate with teams to establish best practices for structured logging.

Job description

RDQ426R299

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.

The Logging Platform team plays a critical role in building scalable and efficient logging solutions that power observability across all Databricks services. As a Staff Software Engineer, you will drive the next generation of our logging infrastructure, enabling engineers across the company to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale.

The Impact You'll Have

• Build the future of logging at Databricks by designing and scaling our next‑generation logging platform that processes petabytes of logs daily.
• Develop and optimize log delivery pipelines to support low‑latency, high‑throughput log ingestion and querying, ensuring seamless observability across all Databricks services.
• Enhance log accessibility and usability, developing tools that enable engineers to efficiently search, analyze, and derive insights from logs.
• Collaborate with teams across Databricks to define best practices for structured logging, standardizing formats and improving the developer experience.
• Improve reliability and cost‑efficiency by optimizing log retention, indexing, and query performance to reduce operational overhead.
• Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community.

What We Look For

• BS (or higher) in Computer Science, or a related field.
• 7+ years of production‑level experience in one of: Scala, Rust, Go, Python, Java, C++, or similar languages.
• Deep experience in software development, in large‑scale distributed systems.
• Experience driving complex projects involving multiple teams and stakeholders.
• Familiarity with log collection, health monitoring, and observability tools.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location.

Zone 1 Pay Range

$190,000—$261,250 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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.