Full-time · On-site
Senior Engineering Manager, Cloud Intelligence & Infrastructure Economics
This is a high-stakes leadership role focused on building the automated economic engine for one of the world's largest data platforms. You will move the needle from simple cost reporting to autonomous, self-healing infrastructure governance. It is a perfect blend of deep distributed systems engineering and strategic business impact.
Databricks · Mountain View, California, United States · Posted 17 April 2026
The role
Overview
This is a high-stakes leadership role focused on building the automated economic engine for one of the world's largest data platforms. You will move the needle from simple cost reporting to autonomous, self-healing infrastructure governance. It is a perfect blend of deep distributed systems engineering and strategic business impact.
What they need
Requirements & Skills
Key Responsibilities
- Lead and scale a high-performance engineering team focused on infrastructure intelligence
- Develop high-scale data pipelines for demand and capacity planning
- Engineer automated enforcement layers for budget quotas and anomaly detection
- Drive product-level margin attribution for AI and shared COGS
- Transform fragmented technical environments into unified, automated platforms
Essential
- Minimum of 7 years in engineering management leading high-performance teams
- Extensive experience in Infrastructure, Production Engineering, or Cloud Systems
- Deep technical expertise in distributed systems architecture
- Hands-on experience with Kubernetes and cloud-native architectures (AWS, Azure, or GCP)
- Proven track record of building and operating large-scale SaaS platforms with high availability
- Proficiency in professional software development using Java, Scala, or C++
- Demonstrated ability to lead architectural transitions from fragmented systems to unified platforms
Preferred
- Master’s degree or PhD in Computer Science or a related technical field
- Experience managing infrastructure costs for Generative AI or Serverless products
- Background in financial engineering or economic modeling within a technical context
Key Skills
Distributed Systems DesignKubernetesCloud Infrastructure (AWS/Azure/GCP)JavaScalaC++Data Pipeline EngineeringCapacity PlanningTechnical LeadershipStrategic Roadmap Development
Networking
People to Know
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Perks
Benefits & perks
- Opportunity to work at a leader in Data and AI
- High-impact role influencing global infrastructure spend
- Collaborative environment founded by industry-leading engineers
- Work on cutting-edge GenAI and Serverless scaling challenges
- Professional growth in a rapidly expanding enterprise
Next step
Apply now
Found via www.databricks.com