Databricks
Technology & SoftwareDirect Greenhouse career site

Sr Software Engineer, Infrastructure

Pay
$159,900 – $219,900 per year
Location
San Francisco, CA · Hybrid
Job type
Full-time
Level
Senior
Experience
5+ years
Listed
30 days ago

Skills & highlights for this role

  • Python
  • Terraform
  • AWS
  • Kubernetes
  • GitHub Actions

Also useful

  • Pulumi
  • Datadog
  • Prometheus
  • Kafka

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Location: San Francisco, CA (Hybrid)

About the Role

At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.

As a Senior Software Engineer (Infrastructure), you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems.

You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available.

The Impact You Will Have

  • Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi.
  • Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency.
  • CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners for specialized build requirements.
  • Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default
  • Tooling, Scripting & AI: Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency
  • Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes.
  • Mentor and Document: Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own.

What We Look For

  • Software Engineering Expertise: 5+ years of production-level experience with a strong proficiency in Python (non-negotiable).
  • IaC: Expert-level proficiency in Terraform (modules, state management) or Pulumi(Preferred).
  • Cloud & Infrastructure Breadth: Hands-on experience with AWS (or Azure/GCP), Kubernetes, Docker and containerization concepts.
  • Automation & Integration Mindset: Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms.
  • CI/CD: Advanced knowledge of Github Actions, Github Runners.
  • Strong Observability Mindset: Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like Datadog, Prometheus, or ELK.
  • Distributed Systems: Proficiency in running systems through concepts like Kafka or messaging queues.
  • Independent Execution: Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $159,900—$219,900 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Read the original posting

From Databricks's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Sr Software Engineer, Infrastructure role at Databricks?

The Sr Software Engineer, Infrastructure posting at Databricks states compensation of $159,900 – $219,900 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.

Where is the Sr Software Engineer, Infrastructure job at Databricks located?

This Sr Software Engineer, Infrastructure position at Databricks is located in San Francisco, CA (Hybrid). Always check Databricks's application page for specific state eligibility or relocation policies.

What qualifications are required for Sr Software Engineer, Infrastructure at Databricks?

For the Sr Software Engineer, Infrastructure role, Databricks highlights 5+ years of relevant experience; experience with Python, Terraform, AWS, Kubernetes, GitHub Actions. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Sr Software Engineer, Infrastructure position at Databricks?

This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.