Senior Software Engineer (Backend) - AI/ML Environments
Databricks12 months ago
Base Salary
$166k - $220k/yr
Responsibilities
- Build infrastructure that enables ML and AI users to configure training and serving environments easily, reliably, and reproducibly.
- Collaborate with AI infrastructure teams to build customer-focused Databricks platform features.
- Improve performance for virtual-environment setup during short training and data-processing sessions.
- Improve observability to help customers debug failed runs.
- Interact with turnkey customers and product managers to identify and envision new features.
- Shape how developers and data scientists build and interact with AI on Databricks.
Requirements
- 5+ years of backend or infrastructure engineering experience focused on building systems.
- Strong programming skills in Python, Scala, or Java.
- 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.
- Strong understanding of dependency management technologies, including virtual environments or containerization technologies.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available through Databricks' benefits portal.
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.