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 90,000 teams every week, driving data transformations and AI use cases.

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