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dbt Labs

Senior Infrastructure Engineer

Reposted Yesterday
Remote
Hiring Remotely in US
143K-192K
Senior level
Remote
Hiring Remotely in US
143K-192K
Senior level
As a Senior Platform Software Engineer, you'll design and build scalable platform infrastructure, drive customer migrations, automate processes, and mentor engineering teams to enhance reliability and performance across dbt Labs' cloud services.
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About Us 

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week. 

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

  • Code-based data transformations unlock transparency, flexibility, and collaboration
  • Analysts should adopt software engineering best practices to build trusted data products
  • Core analytics infrastructure should be open source and user-controlled
  • Analytic code—not just tools—should be shared and community-driven
dbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
 

We’re looking for a Senior Infrastructure Engineer specializing in compute and Kubernetes to help us build a seamless, reliable platform for dbt Cloud across AWS, Azure, and GCP. Our team’s mission is to reduce cognitive load for developers 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 dbt Cloud across all three cloud providers. Now, we’re focused on automation, self-service, and improving developer velocity through better tooling, processes, and infrastructure design. Specifically we’ll be focusing on the compute offering we have today.

As a senior engineer on our team, you’ll drive projects that refine and scale our compute platform, 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.

In this role, you can expect to:

  • Design, operate, and scale Kubernetes-based compute infrastructure across multiple tenancy models (single vs. multi-tenant) and public clouds (AWS, Azure, and GCP).
  • Deepen our team’s Kubernetes and container orchestration expertise, helping strengthen platform scalability, security, and developer experience.
  • Partner with Architecture, Release Engineering, and Security teams to provide a seamless platform for application teams.
  • Leverage tools and languages such as Terraform, Kubernetes, Helm, Argo CD, Python, Go, Bash, and Datadog.
  • Participate in a balanced on-call rotation in an environment that values continuous improvement, helping to improve reliability and reduce operational toil.

You are a good fit if you have:

  • Worked asynchronously as part of a fully-remote, distributed team.
  • Significant experience designing and operating Kubernetes clusters and workloads in production.
  • Hands-on experience with one or more cloud providers (AWS, Azure, GCP) and declarative Infrastructure as Code (Terraform preferred).
  • Programming/scripting ability in Python, Go, Rust or Bash.
  • Excellent communication skills and experience working asynchronously on a fully remote, distributed team.

You'll have an edge if you have:

  • Experience building or running multi-tenant Kubernetes platforms at scale.
  • Deep expertise in Kubernetes internals, troubleshooting, or performance tuning.
  • Prior experience with networking, service meshes, or container security.
  • Experience operating infrastructure across multiple clouds.

Compensation & Benefits

Salary:

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

  • The typical starting salary range for this role is: $128,000-$155,700
  • The typical starting salary range for this role in the select locations listed is: $143,000-173,000

Benefits:

  • Unlimited vacation (and yes we use it!)
  • 401k w/3% guaranteed contribution
  • Excellent healthcare
  • Paid Parental Leave
  • Wellness stipend
  • Home office stipend, and more!

*Equity or comparable benefits may be offered depending on the legal limitations

 What to expect in the hiring process (Zoom Interviews)
  • Interview with a Talent Acquisition Partner 
  • Technical Interview with Hiring Manager
  • Team Interviews 
  • Final interview with leadership team member

#LI-RC1

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

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Top Skills

Argo Workflows
AWS
Azure
Docker
GCP
Go
Helm
Kubernetes
Python
Rust
Terraform

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