The impact you will have
Architect at Scale: Lead the design and implementation of systems to optimize cloud spend, driving impact in the magnitude of hundreds of millions of dollars. You will architect solutions for complex problems like reserved-instance automation, tag-based cost attribution at scale, automated waste-cleanup policy engines, and cross-cloud resource governance.
Drive Technical Strategy: Identify and deliver high-impact, well-adopted projects that solve complex efficiency problems. You will define the roadmap for our efficiency pillar, conducting thorough design reviews and risk assessments for systems supporting the company's core infrastructure.
Engineer for Efficiency: Design scalable systems for regression detection and automated resource rightsizing. You will build the frameworks that allow product teams to measure their "efficiency footprint” — the cost and resource impact of their services and hold them accountable through automated release gates that block changes that regress agreed efficiency targets (SLOs).
Operational Excellence: Serve as a technical authority for incident management, addressing complex, system-wide performance issues. You will improve the stability and reliability of our internal platform tools, ensuring they are robust enough to manage our growing global scale.
Technical Leadership: Act as a force multiplier by mentoring junior and senior engineers, raising the bar for engineering quality, and driving engineering culture across the organization.
Build self-driving efficiency systems: Design the automation and agentic layers — AI-driven detection, decisioning, and autonomous remediation — that let cost governance run continuously at scale, shifting the team from manual cleanup to systems that keep themselves efficient.
What We Look For
9+ years of experience building production-grade, distributed systems in Java, Scala, C++, or Go.
Proven track record of architecting solutions for large-scale infrastructure, cloud computing (AWS/Azure/GCP), and container orchestration (Kubernetes/Docker).
Deep expertise in identifying and solving performance bottlenecks in high-throughput, distributed environments.
Demonstrated ability to drive technical requirements for ambiguous problems where the path forward is not obvious.
T-shaped engineering skills: depth in distributed systems and breadth across cloud infrastructure, monitoring, and software lifecycles.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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.
