Staff Software Engineer - Backend
Databricksover 1 year ago
Base Salary
$182k - $247k/yr
Responsibilities
- Prioritize, design, implement, test, deploy, and operate backend microservices for the Databricks platform and products.
- Build data pipelines using Apache Spark and Apache Kafka.
- Integrate Databricks services with third-party applications and cloud APIs.
- Develop and operate resilient, secure, and scalable distributed systems across cloud environments.
- Contribute to infrastructure and services supporting compute, storage, observability, enterprise platform, service platform, core infrastructure, or machine learning workloads.
Requirements
- BS, MS, or PhD in Computer Science or a related field.
- 10+ years of production-level experience in Java, Scala, C++, or a similar language.
- Experience architecting, developing, deploying, and operating large-scale distributed systems.
- Experience working on a SaaS platform or with service-oriented architectures.
- Good knowledge of SQL.
- Experience with software security and systems that handle sensitive data.
- Experience with cloud technologies such as AWS, Azure, GCP, Docker, and Kubernetes.
- Ability to work toward a multi-year vision with incremental deliverables.
Benefits
- Comprehensive benefits and perks, with region-specific details available through Databricks' benefits portal.
- Position is available at the Seattle or Bellevue offices.
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.