Software Engineer, Infrastructure

databricks; United States; On-site; USD 122,000 - 150,000; Full time

Job summary

Databricks Inc. is seeking a Software Engineer, Infrastructure to own the evolution of core infrastructure and observability platforms in a product-led IT organization.

You will automate cloud infrastructure (AWS preferred) with Terraform or Pulumi, deploy containerized workloads using Kubernetes, and build robust CI/CD pipelines with GitHub Actions. The role emphasizes security, reliability, cost-optimization, and high availability, with opportunities to develop internal tooling and contribute

Qualifications

• 3+ years of hands-on software engineering experience with Python.
• IaC experience using Terraform or Pulumi.
• Cloud & containerization experience (AWS/Azure/GCP) with Kubernetes and Docker.
• CI/CD pipeline experience with GitHub Actions.
• Observability foundations with logging, metrics and tracing.
• Experience with Datadog, Prometheus or Grafana.

Responsibilities

• Automate production-grade infrastructure on cloud platforms using Infrastructure as Code.
• Deploy, manage, and scale containerized workloads with Kubernetes.
• Build and maintain robust deployment pipelines with GitHub Actions.
• Develop and promote an observable-by-default infrastructure strategy.
• Create internal CLI tools and automation scripts to improve developer productivity.
• Collaborate with Security, Engineering, Infrastructure and Support teams.

Skills

Python

Terraform

Pulumi

AWS

Kubernetes

Docker

GitHub Actions

Datadog

Prometheus

Grafana

Observability

Tools

Terraform

Pulumi

AWS

Kubernetes

Docker

Job description

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 to help us scale seamlessly amid incredible growth.

As a Software Engineer, Infrastructure, you will be a core technical contributor on the IT CorpEng 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 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

• Automate: Develop and deploy production-grade infrastructure on cloud platforms (AWS preferred) using Infrastructure as Code tools like Terraform or Pulumi.
• Orchestration: Deploy, manage, and scale containerized workloads using Kubernetes (EKS/AKS), focusing on security, reliability, and resource efficiency.
• CI/CD Excellence: Build and maintain robust deployment pipelines using GitHub Actions, including both cloud-hosted and self-hosted runners for specialized build requirements.
• Drive "Observable by Default" Frameworks: Implement infrastructure standards to ensure new internal applications are secure, with logging, metrics, and tracing configured out of the box.
• Tooling, Scripting & AI: Build internal CLI tools, AI-assisted workflows, and automation scripts to streamline developer workflows and reduce manual toil.
• Partner Cross-Functionally: Collaborate with Security, Engineering, Infrastructure, and Support teams to execute technical projects aligned with business outcomes.
• Document & Knowledge Share: Participate in peer code reviews, maintain operational playbooks/failure triage guides, and help onboard team members onto platforms you maintain.

What We Look For

• Software Engineering Expertise: 3+ years of hands‑on software engineering experience, with strong proficiency in Python for scripting, automation, and tooling (required).
• Infrastructure as Code (IaC): Solid working knowledge of Terraform (modules, state management) or Pulumi (preferred).
• Cloud & Containerization: Hands‑on experience building and supporting production workloads in AWS (or Azure/GCP), along with Kubernetes and Docker fundamentals.
• CI/CD & Automation: Practical experience designing, maintaining, and troubleshooting pipelines using GitHub Actions or similar modern CI/CD tools.
• Observability Foundations: Practical understanding of observability pillars (logging, metrics, tracing) and hands‑on experience integrating tools such as Datadog, Prometheus, or Grafana.
• Independent Execution: Proven ability to own end‑to‑end tasks with guidance from Tech Leads, breaking down broader technical goals into actionable technical solutions.

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,