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dbt Labs

Staff Software Engineer, Release Engineering

Remote Brazil
AWS Terraform Go Python PostgreSQL Kubernetes
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Description

About Us

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. You can learn more about our values here.
 

As part of the Release and Developer Experience Engineering team at dbt Labs, our job is to provide dbt labs engineers with tooling to ship products safely and reliably, and provide a great developer experience. We do that by building tooling that reduces the friction and effort at each stage of the software delivery lifecycle: development, testing, deployment, and monitoring. Our work is varied, cross-cutting, and extremely rewarding and impactful – we increase the velocity of the entire engineering department.

As a 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.

In this role, you can expect to:

  • Work alongside other software engineers focused on delivering a great experience to all developers at dbt labs.
  • Perform code reviews, write application code, and create and deploy internal tooling.
  • Focus on improving our continuous delivery processes to make them increasingly safe, fast, and reliable. In addition, expand our existing processes to become multi-cloud.
  • Accelerate new service creation, testing, and deployment by enabling internal application developers to rapidly build and continuously verify solutions in pre-production environments.
  • Improve technical quality across the organization.
  • Work with a variety of programming languages, systems, and technologies, including: Go, Python, Postgres, Kubernetes, Argo CD and Rollouts, AWS, Terraform, Helm, Github Actions and gitops.

Qualifications:

  • Have 5+ years experience as a software engineer OR
  • Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.) OR
  • Completed enrollment in engineering related bootcamp

You are a good fit if you:

  • Have worked in the Release Engineering or Developer Experience (DX) space or have a demonstrated passion for improving your development environment through better tooling.
  • Served as a technical lead and defined the roadmap for complex projects spanning multiple teams and functions
  • Have worked on a product development team.
  • Value interacting with end-users and deeply understanding their needs
  • Know how to make tradeoffs to ship features today without sacrificing long-term quality
  • Are highly motivated, curious, and able to work autonomously

You'll have an edge if:

  • “Elephant Carpaccio” or vertical slicing means something to you and you have completed it before
  • You have experience working on a distributed team

Compensation & Benefits

  • Competitive Salary
  • Equity Stake
  • Benefits (via Remote.com):
    • Unlimited vacation (and yes we use it!)
    • Paid Parental Leave
    • Wellness stipend
    • Home office stipend, and more!

What to expect in the hiring process:

  • An introductory call with a member of our Talent team
  • A technical screen and meeting with the Hiring Manager
  • A coding interview conducted in a collaborative, pair programming format
  • A panel interview including multiple members of the Engineering Team
  • A final interview with a member of our Engineering Leadership Team

#LI_RC1

Who we are

At dbt Labs, we have developed strong opinions on how companies should practice analytics.

Specifically, we believe that:

  • Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
  • Data analysts should adopt similar practices and tools to software developers
  • Critical analytics infrastructure should be controlled by its users as open source software
  • Analytic code itself — not just analytics tools — will increasingly be open source

It turns out that a lot of other people believe this too! Today, there are 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. 

dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns.  If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation. 

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here. 

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

 

dbt Labs
dbt Labs
Analytics Big Data Information Technology Open Source Software

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