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Full-Time

Sr. Infrastructure Engineer

Posted on 2/9/2024

dbt Labs

dbt Labs

201-500 employees

Data transformation framework for SQL professionals

Data & Analytics
Consulting
Enterprise Software

Compensation Overview

$170k - $230kAnnually

Senior

Remote in USA

Category
DevOps & Infrastructure
Software Engineering
Required Skills
Bash
Kubernetes
Microsoft Azure
Python
Git
AWS
Terraform
Requirements
  • Experience with Terraform, Kubernetes, AWS, Azure, and Python
  • Experience supporting a B2B SaaS product in AWS or Azure
  • Experience working on large cloud infrastructure projects
  • Demonstrated track record of partnering with teammates and application developers
  • Opinionated on how to address and reduce operational toil incrementally
  • Experience working asynchronously as part of a fully-remote, distributed team
  • 4+ years experience in Infrastructure Engineering
  • Bachelors degree in related field (computer science, computer engineering, etc.) or completed enrollment in engineering related bootcamp
Responsibilities
  • Use, administer, and improve the stack including Kubernetes, Terraform, AWS, Azure, Helm, ArgoCD, GitHub Actions, Python, Bash, and Go
  • Partner with dev teams to create infrastructure solutions that result in real customer value
  • Support and improve infrastructure systems with parity across tenancy models and public clouds
  • Help create a great developer experience while working with partners in Architecture, SRE, Release Engineering, Quality, and Security Engineering
  • Participate in a balanced on-call rotation and help to upgrade tooling and reduce toil
Desired Qualifications
  • Prior experience in multiple clouds, especially AWS and Azure
  • More extensive Kubernetes administration and troubleshooting background

dbt Labs specializes in providing a data transformation framework through dbt and dbt Cloud, serving SQL-savvy data teams who desire to operate directly within data warehouses to produce accurate and dependable datasets for various applications including reporting, machine learning modeling, and operational workflows. This focus on empowering data professionals not only positions the company at the forefront of data-centric technological development but also fosters a culture of innovation and expertise, offering its team a dynamic and supportive environment where they can thrive professionally among industry leaders.

Company Stage

Series D

Total Funding

$293.7M

Headquarters

Philadelphia, Pennsylvania

Founded

2016

Growth & Insights
Headcount

6 month growth

12%

1 year growth

19%

2 year growth

37%
INACTIVE