Staff Software Engineer - Backend
Databricks2 months ago
Vancouver, CanadaStaff+
Responsibilities
- Build and scale backend services and infrastructure for Databricks’ data and AI platform.
- Develop large-scale distributed systems and SaaS or service-oriented platform components.
- Deliver incremental product improvements aligned with a multi-year technical vision and customer value.
- Contribute to one of several areas, including log analytics, AI/BI, Unity Catalog Business Semantics, or Databricks Apps.
- Work with cloud technologies and systems that handle sensitive data.
Requirements
- Bachelor’s degree or higher in Computer Science, a related technical field, or equivalent practical experience.
- 10+ years of production-level experience with Java, Scala, or C++.
- Strong foundation in algorithms and data structures and their real-world applications.
- Experience developing large-scale distributed systems.
- Experience working on a SaaS platform or with service-oriented architectures.
- Experience with cloud technologies such as AWS, Azure, GCP, Docker, or Kubernetes.
- Experience with security and systems handling sensitive data.
- Good knowledge of SQL.
- Ability to work toward a multi-year vision with incremental deliverables and motivation to deliver customer impact.
Benefits
- Eligibility for an annual performance bonus, equity, and regional employee benefits.
- Position based at Databricks’ Vancouver, Canada R&D center.
Tech Stack
Categories
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.