Engineering Manager - Compute Infra
Skills & Technologies
Requirements
- Experience
- 10+ years
- Education
- Bachelor's degree
Joblaze summary
The Engineering Manager for Compute Infrastructure at Databricks oversees a team that enhances the compute platform, ensuring it supports various workloads with high performance and reliability. This role requires extensive experience in building large-scale distributed systems, particularly in cloud environments like AWS, Azure, or GCP, along with a strong background in engineering management. Ideal candidates will have a proven track record of leading high-performing teams and collaborating across multiple stakeholders to drive strategic initiatives. Databricks emphasizes a culture of engineering excellence and continuous improvement, making this position suitable for seasoned professional
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 788 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
- 1056 active Kubernetes roles on Joblaze right now.
- 69 active cloud infrastructure roles on Joblaze right now.
- Salary band is in line with the typical range for Management (median ~$180,000).
Quick facts
- What's the salary range?
- Databricks lists $190,000–$253,750 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Engineering Manager - Compute Infra role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: cloud infrastructure, Kubernetes.
- What seniority level is this role?
- Databricks targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Engineering Manager - Compute Infra role at Databricks.
From the original posting
P-931
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.
At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency.
We are looking for an Engineering Manager to lead a team responsible for critical components of this platform. Your work will directly influence product velocity, customer experience, and the company’s ability to scale.
The impact you will have:
- Own and evolve the compute platform to support all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance.
- Hire exceptional engineers and invest in their growth through coaching, feedback, and career development.
- Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset.
- Partner with engineering and product leadership to define long-term strategy and roadmaps.
- Lead cross-team initiatives that span product and infrastructure surface areas.
- Influence architectural decisions beyond your immediate team.
What we look for:
- 10+ years of experience building and operating large-scale distributed systems, including strong practices around testing, monitoring, and reliability.
- 3+ years of engineering management experience leading high-performing teams.
- Deep expertise in cloud infrastructure (AWS, Azure, GCP) and containerized environments (Kubernetes) is preferred.
- Proven ability to collaborate across engineering, product, and business stakeholders.
- Experience scaling teams and systems through rapid growth.
- BS, MS, or PhD in Computer Science or related field, or equivalent experience.
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 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.