Staff Software Engineer - Backend
Databricks9 months ago
London, United KingdomStaff+
Responsibilities
- Design and develop backend services, distributed systems, service architectures, workflow orchestration, and developer-experience capabilities.
- Build reliable, secure, high-performance services and client libraries for storing and accessing data on AWS S3, GCS, and Azure Blob Store.
- Develop product features that help customers store and access their data.
- Solve reliability problems related to Lakebase.
- Investigate downtime, remove root causes, define SLIs, meet SLOs, and drive long-term reliability improvements.
- Participate in the entire software development lifecycle as a founding member of the London engineering team.
Requirements
- BS degree or higher in Computer Science or a related field.
- 8+ years of production-level experience in Java, Scala, C++, or a similar language.
- Experience developing large-scale distributed systems.
- Experience working on a SaaS platform or with service-oriented architectures.
- Knowledge of SQL.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available through Databricks' benefits site.
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.