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Salary
≈ $20k – $42k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior

First seen by Alion on Aug 21, 2026.

Overview
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Profile match
dbt Labs is the company behind dbt, the leading analytics engineering platform that enables data teams to transform, test, and document data directly in the warehouse using software engineering best practices. Trusted by thousands of organizations, dbt helps analysts and data engineers build reliable, version-controlled data models that power analytics, reporting, and decision-making. By bringing modularity, testing, and collaboration to the analytics workflow, dbt Labs makes data more trustworthy, scalable, and easier to work with across the entire organization.

We're looking for an Infrastructure Engineer with GCP, Azure, or AWS expertise to help us build a seamless, reliable platform for the dbt platform across AWS, Azure, and GCP. Our team's mission is to create a seamless developer experience by providing a stable, observable, and easy-to-use infrastructure platform.

Over the past year, we've designed and operationalized a next-gen cell-based architecture, scaling the dbt platform across all three cloud providers. Now, we're focused on automation, self-service, and improving developer velocity through better tooling, processes, and infrastructure design. As a senior engineer on our team, you'll work on medium projects, helping to refine our platform while ensuring performance, reliability, and a great developer experience. You'll collaborate across teams, solve real infrastructure challenges, and help shape the future of multi-cloud dbt Cloud.

Responsibilities:

  • Design, operate, and support infrastructure systems with parity across tenancy models (single vs multi) and public clouds (AWS, Azure, and GCP) - and work with engineering teams to get their services consistently deployed to those environments.
  • Bring cloud infrastructure expertise to the team, helping us strengthen and scale our infrastructure as we expand dbt Cloud's multi-cloud capabilities.
  • Help create a great developer experience while working with our close partners in Architecture, Release Engineering, Product Engineering, and Security.
  • Leverage tools and languages such as Terraform, Kubernetes, Python, Bash, Helm, ArgoCD, Go, and DataDog.
  • Design and build automation to eliminate manual toil and streamline infrastructure operations at scale.
  • Identify and implement infrastructure optimizations that reduce cloud spend without sacrificing reliability.
  • Participate in a balanced on-call rotation in an environment that values continuous improvement, and help to upgrade our tooling and reduce toil.

Requirements:

  • Experience with the clouds, tools, and languages in our stack, especially: AWSAzureGCP, Terraform, Kubernetes, Python, and Bash.
  • Solid experience with declarative Infrastructure as Code - ideally with Terraform or a willingness to learn while leveraging your CloudFormation or ARMBicep background.
  • Love to automate tasks.
  • Worked asynchronously as part of a fully-remote, distributed team, and have excellent communication and writing skills.

You'll have an edge if you have:

  • Prior experience in a multiple cloud environment.
  • More extensive Kubernetes administration and troubleshooting background.
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