Senior Software Engineer, dbt Labs

• Have 7+ years experience in software engineering, including production experience supporting SaaS applications
• Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.) OR
• Completed enrollment in engineering related bootcamp
• Have implemented large-scale distributed systems and have a deep interest in application performance, scalability, reliability, and operability
• Have designed and built cloud applications that include containerized workloads, Python or Golang, and at least some of our technology stack. You don’t need to be experienced with every technology we use today
• Have a systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive
• Ensure high programming standards in your team by writing unit, functional, and integration tests and participating in timely, constructive code review
• Comfortable operating in fast paced environment the emphasizes making small changes to rapidly iterate, learn and deliver
• You are interested in our mission and values. You are inspired to drive progress in the data and analytics ecosystem

Desirable

• Over the past year we have built a next-generation multi-cell architecture and we are looking for a Senior Software Engineer ll to join the team and help add capabilities and migrate customers to the new deployments
• The cell-based architecture is a large-scale, worldwide distributed system, and this team has an outsize impact on every customer of dbt Labs
• Today we serve some of the largest data-driven organizations in the world, enabling them to make decisions based on the knowledge at the core of their business
• The quality, reliability, and performance our multi-cell implementation equates to leverage for analysts, analytics engineers, and data engineers in organizations of all shapes and sizes
• Build cell-based application architecture that reliably and performantly delivers dbt Cloud to customers worldwide. You will work on a variety of technologies and features including our regional service layer, enabling self-service accounts across regions, cell migrations and product security
• Collaborate with multiple engineering teams, Product Management, Security, and Customer Support
• Work with a variety of programming languages, systems, and technologies, including: Golang, Python,+++ Postgres, Kubernetes, Terraform, Auth0, and Datadog
• Drive scaling and automation initiatives
• Define tradeoffs and make decisions about what, how, and when we build. We are a fast-moving startup and building the right platform at the place where application and infrastructure meet unlocks reliability, quality, and productivity for the long term

• Interview with a Talent Acquisition Partner
• Technical Interview with Hiring Manager
• Team Interviews
• Final interview with leadership team member