Senior Software Engineer - Access Management
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and operate scalable authorization systems that enforce access control across the Databricks platform. You will own complex projects end-to-end, drive technical decisions, improve reliability, performance, and security, collaborate across teams, and mentor engineers.
Requirements
- 5+ years of software engineering experience
- Experience designing, building, and operating large-scale distributed systems
- Experience with Java, Scala, C++, or Go
- Understanding of concurrency, microservices architecture, and cloud infrastructure
- Experience with authorization systems, identity management, or security infrastructure
- Ability to diagnose performance bottlenecks and perform root-cause analysis
- Strong communication skills
- B.S. in Computer Science, Engineering, or related field, or equivalent practical experience
Responsibilities
- Design, build, and operate scalable authorization systems
- Own complex technical projects end-to-end
- Drive technical decisions and architectural direction
- Improve reliability, performance, and security of high-throughput low-latency services
- Collaborate with engineering and product teams
- Mentor engineers and elevate engineering practices
Benefits
- Eligibility for annual performance bonus
- Equity