Staff Backend Software Engineer
Databricks6 months ago
Base Salary
$190k - $261k/yr
Responsibilities
- Build LLM infrastructure supporting trillions of tokens per week through partner and self-hosted models.
- Improve the reliability, latency, and efficiency of distributed AI workloads.
- Collaborate with platform, infrastructure, and machine learning teams on end-to-end AI experiences.
- Shape how developers and data scientists build and interact with AI on Databricks.
Requirements
- 8+ years of experience in backend or infrastructure engineering.
- Strong programming skills in Scala, Go, or Python.
- Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
- Familiarity with service-oriented architecture, deployment pipelines, and system observability.
- Strong product and ownership mindset.
- Bonus: experience with real-time serving, ML infrastructure, or GPU orchestration.
- Bonus: exposure to SageMaker, Vertex AI, or Azure ML.
- Bonus: contributions to MLflow, PyTorch, Ray, vLLM, or SGLang.
- Bonus: experience building developer platforms or internal tools for AI workflows.
Benefits
- Comprehensive benefits and perks, with details varying by region.
- Annual performance bonus and equity may be included in the total compensation package.
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.