Senior Software Engineer - Access Management
Databricks1 day ago
Base Salary
$156k - $214k/yr
Responsibilities
- Design, build, and operate scalable authorization systems enforcing access control across the Databricks platform.
- Own complex technical projects end-to-end from design through delivery and production operation.
- Drive technical decisions and contribute to architectural direction for access management infrastructure.
- Improve reliability, performance, and security for high-throughput, low-latency services.
- Build fine-grained controls including scoped service identities, delegated access, role-based access control, and network ingress policies.
- Collaborate across engineering and product teams to deliver unified authorization capabilities.
- Mentor engineers and improve team engineering practices.
Requirements
- 5+ years of software engineering experience.
- Experience designing, building, and operating large-scale distributed systems in production.
- Experience with one or more of Java, Scala, C++, or Go.
- Understanding of distributed systems fundamentals, concurrency, microservices architecture, and cloud infrastructure.
- Experience with authorization systems, identity management, or security-focused infrastructure.
- Ability to diagnose performance bottlenecks and perform root-cause analyses for production issues.
- Strong communication and cross-functional collaboration skills.
- B.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
Benefits
- Databricks offers comprehensive benefits and perks, with specific offerings varying by region.
- The role includes potential eligibility for an annual performance bonus and equity in addition to benefits.
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.