Software Engineer, Infrastructure
Databricks14 days ago
USA (city not specified)Mid Level
H1B sponsor
Base Salary
$136k - $187k/yr
Responsibilities
- Develop and deploy production-grade cloud infrastructure using Terraform or Pulumi.
- Deploy, manage, and scale containerized workloads with Kubernetes, with emphasis on security, reliability, and resource efficiency.
- Build and maintain GitHub Actions deployment pipelines, including cloud-hosted and self-hosted runners.
- Implement infrastructure standards with logging, metrics, and tracing configured by default.
- Build internal CLI tools, AI-assisted workflows, and automation scripts to improve developer workflows.
- Collaborate with Security, Engineering, Infrastructure, and Support teams on technical projects.
- Participate in code reviews, maintain operational playbooks and failure-triage guides, and support team onboarding.
Requirements
- At least 3 years of hands-on software engineering experience.
- Strong proficiency in Python for scripting, automation, and tooling.
- Working knowledge of Terraform or Pulumi, including modules and state management.
- Hands-on experience building and supporting production workloads in AWS, Azure, or GCP.
- Experience with Kubernetes and Docker fundamentals.
- Experience designing, maintaining, and troubleshooting pipelines using GitHub Actions or similar CI/CD tools.
- Understanding of logging, metrics, and tracing, with hands-on experience using tools such as Datadog, Prometheus, or Grafana.
- Ability to own end-to-end tasks and translate broader technical goals into actionable solutions.
Benefits
- Databricks offers comprehensive benefits and perks, with details varying by region.
- The role includes eligibility for an annual performance bonus and equity.
- The posting provides a Zone 1 pay range of $136,300–$187,450 USD.
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.