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Software Engineer, Infrastructure

Join Databricks as a Software Engineer, Infrastructure, to build scalable and automated cloud infrastructure solutions.

Location
United States
Compensation
$136.3k–$187.4k/yr
Level
mid
Type
full time

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 53 minutes ago

What you'll build

  • Develop and deploy production-grade infrastructure on cloud platforms
  • Deploy, manage, and scale containerized workloads using Kubernetes
  • Build and maintain robust deployment pipelines using GitHub Actions
  • Implement infrastructure standards for internal applications
  • Collaborate with cross-functional teams on technical projects

Must have

  • 3+ years of hands-on software engineering experience
  • Strong proficiency in Python for scripting, automation, and tooling
  • Solid working knowledge of Terraform or Pulumi
  • Hands-on experience building and supporting production workloads in AWS
  • Practical experience designing, maintaining, and troubleshooting pipelines using GitHub Actions
  • Practical understanding of observability pillars

Requirements

Experience
3+ years

Not disclosed in this posting: work arrangement, visa sponsorship.

Joblaze summary

In the role of Software Engineer, Infrastructure at Databricks, the individual will focus on enhancing and automating core infrastructure and observability platforms to support the company's growth. Key skills include proficiency in Python, experience with Infrastructure as Code tools like Terraform, and a solid understanding of cloud environments, particularly AWS. This position is ideal for someone with over three years of software engineering experience who can independently manage technical projects while collaborating across teams. Databricks emphasizes a product-led approach, aiming to streamline IT services and improve operational efficiency.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 29, 2026. Last confirmed on Databricks's careers page October 31, 2026.
  • This exact title is also open at 1 other location at Databricks: Bengaluru, India.
  • Salary band is below the typical range for DevOps/SRE roles (median ~$165,000).
  • Starts above 75% of 51 comparable mid devops/sre roles in United States that list Python we track (median $125,000 across 18 companies). See Python salary trends
  • Python appears in 59.2% of 130 comparable mid devops/sre roles in United States; Pulumi appears in 1.5% of 130 comparable mid devops/sre roles in United States.

Quick facts

What's the salary range?
Databricks lists $136,300–$187,450 for this role.
How much experience is required?
At least 3 years of relevant experience for this Software Engineer, Infrastructure role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Datadog, GitHub Actions, Grafana, Kubernetes, Prometheus.
What seniority level is this role?
Databricks targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Software Engineer, Infrastructure role at Databricks.

From the original posting

GAQ327R264

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
$136,300—$187,450 USD

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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