Senior Backend Software Engineer- (AI Platform)
Databricks1 day ago
Base Salary
$166k - $225k/yr
Responsibilities
- Build infrastructure powering AI applications, agents, model training, model serving, vector search, and Databricks AI offerings.
- 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
- At least 5 years of backend or infrastructure engineering experience.
- 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.
Benefits
- Benefits and perks are offered, with specific details varying by region; compensation may also include an annual performance bonus and equity.
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.