As the dedicated Staff Engineer, you’ll be the technical backbone for the team, providing technical guidance and leadership, as well as direct technical contributions. You must be able to inspire those around you with a deep passion and hunger to solve ambiguous problems. This is chance to build and deliver both customer-facing APIs and internal tools, used by our fast-growing customer base and engineering organization.

• Define the architecture and guide the implementation of dbt Cloud’s Shared Services and public APIs — including backend services, performance, and scalability while relentlessly expanding its feature-set and capabilities.
• Manage trade-offs, priorities, and deliverables by applying your experience in bringing projects to successful completion.
• Work with teammates to build confidently and quickly via high-leverage tooling, mentorship, and your experience and knowledge of industry trends and practices.
• Help define quality standards and drive the overall reliability of our services.
• Participate in daily stand-ups, mentee sessions, and pair programming.

Qualifications:

• Have 8+ years of experience as a software engineer.
• Minimum requirement of bachelor’s degree in a related field (computer science, computer engineering, etc.) OR completed enrollment in engineering related bootcamp.

You are a good fit if you:

• Have experience with using Python, Go, or similar languages to create scalable full-stack applications. For example, you have built services for applications with complex workflows.
• Enjoy working on large-scale, event-driven systems.
• Value balancing architectural and business tradeoffs.
• Have experience working on Enterprise SaaS Products.
• Understand how to make tradeoffs to ship useful features today without sacrificing long-term quality.
• Have strong backend skills and can reason about the end-to-end system and customer experience.

You have an edge if you

• Have worked on a experience working internal libraries, standards, and tools.
• Have experience scaling applications, especially those with runtimes in Kubernetes and AWS.
• Have experience working in a distributed company.