Senior Infrastructure Software Engineer

Staff Software Engineer - Infrastructure

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

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.

This is a full-time position based out of our Bangalore office, with the flexibility to work from home.

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

Experience Level

Senior Level