Sr Software Engineer, Infrastructure

Databricks; San Francisco (CA); Hybrid; USD 136,300 - 187,450; Full time

Job summary

Databricks is looking for a skilled IT Infrastructure Engineer in San Francisco. The role involves designing and automating production-grade infrastructure using AWS and tools like Terraform. Ideal candidates will have 5+ years' experience in software engineering, proficiency in Python, and strong knowledge of CI/CD practices. This hybrid position also emphasizes collaboration across teams and mentoring junior engineers. Competitive compensation including benefits and equity is offered.

Qualifications

• 5+ years of production-level experience with strong proficiency in Python.
• Expert-level proficiency in Terraform or Pulumi.
• Hands-on experience with AWS, Kubernetes, Docker.
• Experience with CI/CD and GitHub Actions.
• Understanding of observability pillars with hands-on experience.

Responsibilities

• Design and deploy production-grade infrastructure on AWS.
• Manage and scale containerized workloads using AKS or EKS.
• Architect robust deployment pipelines using GitHub Actions.
• Create infrastructure for logging and metrics in new applications.
• Build internal CLI tools and automation scripts.

Skills

Python

Terraform

AWS

Kubernetes

Docker

GitHub Actions

Observability

Distributed Systems

Job description

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.

GAQ127R41

Location: San Francisco, CA (Hybrid)

Team: IT Infrastructure and Operations

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

$136,300—$187,450 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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 click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

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.