- Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
- Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
- Build tools to allow Databricks engineers to operate their services across different clouds and environments
- Build services, products and infrastructure at the intersection of machine learning and distributed systems.
The impact you will have:
- Hire great engineers to build an outstanding team.
- Support engineers in their career development by providing clear feedback and develop engineering leaders.
- Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
- Work with engineering and product leadership to build a long-term roadmap.
- Coordinate execution and collaborate across teams to unblock cross-cutting projects.
What we look for:
- 12+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
- Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up
- Experience in Big Data is a big plus
- Extensive experience managing a team of strong software engineers
- Partner with PM, Sales, and Customers to develop innovative features & products.
- BS (or higher) in Computer Science, or a related field.
Benefits
- Health insurance reimbursement and collective healthcare scheme
- Life, accident and disability coverage
- Company pension
- Paid parental leave
- Annual vacation bonus
- Equity awards
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel accident insurance
- Mental wellness resources
