Staff Software Engineer
Role details
Job location
Tech stack
Job description
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. Logging Platform team 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
Requirements
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 elevate engineers, fostering a culture of technical excellence within the team and the 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
Benefits & conditions
observability tools. Pay Range Transparency Zone 1 Pay Range: $190,900 \u2014 $253,750 USD. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job\u2011related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide \u2014 including Comcast, Cond\u00e9\u202fNast, Grammarly, and over 50% of the Fortune\u202f500 \u2014 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San\u202fFrancisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache\u202fSpark\u2122, Delta\u202fLake and MLflow. Follow Databricks on Twitter, LinkedIn and Facebook for updates. Benefits We strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion We are committed to fostering a diverse and inclusive culture where everyone can excel. 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\u2011economic status, veteran status, and other protected characteristics. Compliance If access to export\u2011controlled 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. #J-18808-Ljbffr", "employmentType": "FULL_TIME"
