Senior Infrastructure Engineer II

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:

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 developers 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 an 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.

In this role, you can expect to:

• 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

You are a good fit if you have:

• Experience with the clouds, tools, and languages in our stack, especially: AWS\Azure\GCP, 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 ARM\Bicep 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

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. RSUs or comparable benefits may be offered depending on the legal or country limitations.