Senior Software Engineer, Multi-Cloud
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.
About the Multi-Cloud Team:
We’re looking for an experienced Software Engineer to help us build out a new multi-tenant offering in Azure. Over the past year, we have built a next-generation multi-cell architecture, and we are now ready to create a highly-available, highly scalable offering in Azure that is at parity with our AWS offering. We have long hosted enterprise customers in Azure single-tenant deployments and have a clear view of what success looks like as we expand to multi-tenancy.
You’ll be joining a collaborative team of engineers working at the intersection of application code and cloud infrastructure to create a reliable and performant platform. As a Senior Engineer on the team you will prioritize and tackle problems as they arise, working iteratively with customers and stakeholder to bring the new offerings to market. 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. Your work directly impacts dbt Lab’s mission by expanding the organizations we serve and the data practitioners we reach.
In this role, you can expect to:
- Building a highly reliable, highly performant application on Azure through the lens of creating high-value multi-cloud abstractions
- Leverage a variety of languages and technologies: Golang, Python, Kubernetes, Terraform, Helm
- Drive scaling and automation initiatives across our cloud platform, contributing to quality and developer productivity
- Work across our entire product slate to ensure quality and performance, sometimes diving deep to evolve how features work
- Partner with teams throughout EPD
Qualifications:
- Have 5+ years experience in software engineering, including production experience supporting SaaS applications deployed on Azure
- 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 designed and built distributed cloud applications including containerized workloads in production on Azure
- Have a deep sense of empathy for developer experience and a drive to build solutions that enable our product teams to own and operate their features in multiple clouds
- Are eager to collaborate across team and group boundaries to aid the delivery of new offerings - both your team’s new deployments and the new features being built by our product teams
- Have the ability to break down complex technical concepts and communicate them to business stakeholders
- Have a systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.
You'll have an edge if you:
- You have experience working in multiple Cloud environments (AWS, Azure, GCP)
- Have excellent written communication skills
Compensation and Benefits:
- Salary: $154,000-$181,000
- Equity Stake
- Benefits - dbt Labs offers:
- Unlimited vacation (and yes we use it!)
- 401k w/3% guaranteed contribution
- Excellent healthcare
- Paid Parental Leave
- Wellness stipend
- Home office stipend, and more!
- Interview with a Talent Acquisition Partner
- Technical Interview with Hiring Manager
- Team Interviews
- Final interview with leadership team member
#LI-RC1
Who we are
At dbt Labs, we have developed strong opinions on how companies should practice analytics.
Specifically, we believe that:
- Code, not graphical user interfaces, is the best abstraction to express complex analytic logic
- 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 [email protected] 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.
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