Position Overview
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.
Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.
Role Responsibilities
As a Staff Software Engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This role involves writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).
Teams You Can Join
- Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems.
- Compute Fabric: Manage the resource management infrastructure for big data and machine learning workloads.
- Data Plane Storage: Deliver services for storing and accessing large amounts of data on cloud storage backends.
- Enterprise Platform: Develop scalable services and infrastructure for managing data teams.
- Observability: Provide a platform for comprehensive observation and introspection of applications and services.
- Service Platform: Build and manage high-quality services across different environments.
- Core Infra: Develop the core infrastructure that powers Databricks across all geographic regions and cloud providers.
Competencies
- BS/MS/PhD in Computer Science, or a related field
- 10+ years of production level experience in Java, Scala, C++, or similar language.
- Experience in architecting, developing, deploying, and operating large scale distributed systems.
- Experience with software security and systems that handle sensitive data.
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.
Benefits
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Employee Assistance Program (EAP)
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Benefits Extracted with AI
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Employee Assistance Program (EAP)
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