Sr. Software Engineer- Backend
Databricks2 months ago
Base Salary
$165k - $220k/yr
Responsibilities
- Build infrastructure powering Databricks AI Platform offerings such as MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs.
- Improve the reliability, latency, and efficiency of distributed AI workloads.
- Collaborate with platform, infrastructure, and machine learning teams to deliver end-to-end experiences.
- Shape how developers and data scientists build and interact with AI on Databricks.
Requirements
- 5+ 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 ownership and solution-oriented mindset.
- Bonus: experience with real-time serving, ML infrastructure, GPU orchestration, SageMaker, Vertex AI, Azure ML, MLflow, PyTorch, Ray, or developer platforms and internal AI workflow tools.
Benefits
- Comprehensive employee benefits and perks, with details varying by region.
- The total compensation package may include an annual performance bonus, equity, and regional benefits.
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.