Senior Platform Engineer, dbt Labs

• Significant experience designing and operating relational data and object storage platforms 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
• 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

Desirable

• We’re looking for a Senior Platform Engineer specializing in Storage Services 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 improving the components of the storage platform we’ve developed today, while building new components to enable product feature development
• As a Senior Engineer on our team, you’ll drive projects that refine and scale our storage 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
• Design, operate, and scale storage based infrastructure systems across multiple tenancy models (single vs. multi-tenant) and public clouds (AWS, Azure, and GCP)
• Deepen our team’s expertise in one more areas including: relational databases, search, caching, queuing, and streaming - helping strengthen platform scalability, security, and developer experience
• Partner with Architecture, Release Engineering, Network, Compute, and Security teams to provide a seamless platform for application teams
• Leverage tools and languages such as Terraform, Kubernetes, Helm, Argo CD, Python, SQL, 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

• Interview with Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews
• Final Interview with Engineering Leadership