Sr. Staff Software Engineer - App Platform

RDQ126R105

At Databricks, we are passionate about helping data teams 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 solve 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.

About the team:

Our Platform Engineering team provides the core infrastructure that powers Databricks. This includes infrastructure for monitoring, observability, language support, runtime, application frameworks, and developer platform. We are rebuilding our platform from the ground up to meet the growing needs of our business. We are looking for a Senior Staff Software Engineer to join this team, where you will have an outsized impact on the future of our infrastructure.

The impact you will have:

• Develop scalable experimentation platforms and metrics-driven processes to launch incremental feature changes, ensuring safe, data-informed deployments.
• Build reliable software and service frameworks for high-coverage pre-production testing, and create systems that enhance automation, monitoring, and cloud cost visibility.
• Design and optimize tools for seamless cloud infrastructure provisioning, enabling engineers to manage services effectively across all environments with minimal friction.
• Implement secure, end-to-end logging, and comprehensive metrics systems that allow easy and thorough monitoring and analysis across our large-scale infrastructure.
• Amplify the productivity of every Databricks engineer by tenfold through best-in-class developer infrastructure.
• Lead cross-functional projects, influence architectural decisions, and provide mentorship to engineering teams to drive innovation and uphold high standards for operational excellence.

What We Look For:

• Strong industry experience and track record of developing, building, and supporting large-scale infrastructure.
• Ability to think long-term while delivering incremental, measurable impact. You can balance big-picture strategic thinking with a passion for executing on high-priority initiatives.
• Coding chops, clean, elegant, bug-free code in languages like Java, GO
• Must have led teams of engineers to deliver autonomously on large multi-functionally driven projects.
• Proven track record of driving innovation within highly technical teams. You’ve led complex projects to fruition and are motivated by solving high-impact problems with elegant, scalable solutions.
• Experienced at Cross Team Communication: Strong flair for effective communication and collaboration - you know when to push on and when to step back.
• Push the bar on engineering standard processes and help leaders build a strong engineering culture.
• Passionate about helping teams grow by inspiring and mentoring engineers.
• Expertise in one or more areas around rpc frameworks, observability infrastructure, developer infrastructure, AI-based tooling, and performance engineering is a huge plus.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.

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.

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