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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.
Databricks is looking for an Engineering Manager to lead the App Traffic team, responsible for critical networking infrastructure that powers communication across the Databricks platform. The team builds and operates Databricks’ unified service mesh, including ingress, service discovery, service-to-service communication, traffic management, and intelligent routing across AWS, Azure, and Google Cloud. These systems sit on the critical path of Databricks services and must deliver exceptional reliability, scalability, and performance while providing simple abstractions for application developers.
As the Engineering Manager for App Traffic, you will lead a team of strong infrastructure engineers, shape the technical roadmap, and drive execution across complex, cross-functional initiatives. You will partner closely with senior engineers and infrastructure leaders on the architecture and evolution of Databricks’ traffic platform.
The Impact You Will Have
- Lead, grow, and develop a high-performing team of engineers responsible for Databricks’ application traffic infrastructure.
- Drive the design and evolution of highly available distributed systems operating across multiple clouds and regions.
- Partner with senior and staff engineers on architectural decisions involving routing, control planes, reliability, scalability, and developer experience.
- Lead large, ambiguous projects with dependencies across multiple engineering teams.
- Establish clear goals, milestones, ownership boundaries, and operating mechanisms that enable predictable execution.
- Balance immediate product and operational priorities with longer-term investments in architecture, reliability, and engineering velocity.
- Build strong partnerships with infrastructure and application teams.
- Recruit exceptional engineers and support the growth and development of engineers at all levels.
- Foster a culture of technical excellence, ownership, operational rigor, and continuous improvement.
What We Look For
- 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast paced, dynamic environment.
- Experience managing engineering teams working on distributed systems, networking infrastructure, cloud infrastructure, or platform infrastructure.
- Strong technical judgment and the ability to engage deeply with senior engineers on complex systems architecture.
- A track record of successfully leading large, ambiguous, cross-functional engineering initiatives.
- Strong understanding of reliability, scalability, performance, and operational excellence in production systems.
- Experience developing senior engineers and building high-performing teams.
- Ability to influence and align stakeholders across organizational boundaries.
- Strong written and verbal communication skills.
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. Based on the factors above, Databricks anticipates utilizing 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. For more information regarding which range your location is in visit our page here.
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.