Senior Software Engineer - Backend
Databricksover 1 year ago
Base Salary
$158k - $214k/yr
Responsibilities
- Build infrastructure and products for the Databricks platform at scale.
- Develop serverless platform capabilities for big data, machine learning, and generative AI workloads across a multi-cloud environment.
- Build OS, container, networking, and cloud platform technologies that improve infrastructure security, efficiency, and reliability.
- Develop partner ecosystem toolkits and integrations for Databricks SQL.
- Build reliable, responsive, multi-language and multi-user notebook dataplane experiences for data science and AI/ML authoring.
- Create tools, frameworks, and platforms that improve service deployment, operations, observability, safety, scale, and developer experience.
Requirements
- BS or higher in Computer Science or a related field.
- At least five years of production-level experience with Java, Scala, Golang, C++, or a similar language.
- 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, or Kubernetes.
- Experience with security and systems that handle sensitive data.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available through Databricks.
- Position is open to the Seattle and Bellevue offices.
- The total compensation package may include an annual performance bonus, equity, and benefits.
Tech Stack
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.