Senior Infrastructure Engineer, dbt Labs

Compute

CA$142-172k

+ Equity and where applicable, performance-based pay. Equity or comparable benefits may be offered depending on the legal limitations

AWS

Kubernetes

GCP

Python

Bash

Terraform

Rust

Azure

dbt

Datadog

Senior and Expert level

Remote from Canada

Data transformation tools

Be an early applicant

Data transformation tools

201-500 employees

B2BInternal toolsSaaSData Integration

Be an early applicant

CA$142-172k

+ Equity and where applicable, performance-based pay. Equity or comparable benefits may be offered depending on the legal limitations

AWS

Kubernetes

GCP

Python

Bash

Terraform

Rust

Azure

dbt

Datadog

Senior and Expert level

Remote from Canada

201-500 employees

B2BInternal toolsSaaSData Integration

Company mission

To empower data practitioners to create and disseminate organizational knowledge.

Job

Company

Role

Who you are

Worked asynchronously as part of a fully-remote, distributed team
Significant experience designing and operating Kubernetes clusters and workloads in production
Hands-on experience with one or more cloud providers (AWS, Azure, GCP) and declarative Infrastructure as Code (Terraform preferred)
Programming/scripting ability in Python, Go, Rust or Bash
Excellent communication skills and experience working asynchronously on a fully remote, distributed team

Desirable

Experience building or running multi-tenant Kubernetes platforms at scale
Deep expertise in Kubernetes internals, troubleshooting, or performance tuning
Prior experience with networking, service meshes, or container security
Experience operating infrastructure across multiple clouds

What the job involves

We’re looking for a Senior Infrastructure Engineer specializing in compute and Kubernetes to help us build a seamless, reliable platform for dbt Cloud across AWS, Azure, and GCP
Our team’s mission is to reduce cognitive load for developers by providing a stable, observable, and easy-to-use infrastructure platform
Over the past year, we’ve designed and operationalized a next-gen cell-based architecture, scaling dbt Cloud across all three cloud providers
Now, we’re focused on automation, self-service, and improving developer velocity through better tooling, processes, and infrastructure design
Specifically we’ll be focusing on the compute offering we have today
As a senior engineer on our team, you’ll drive projects that refine and scale our compute platform, ensuring performance, reliability, and a great developer experience
You’ll collaborate across teams, solve real infrastructure challenges, and help shape the future of multi-cloud dbt Cloud
Design, operate, and scale Kubernetes-based compute infrastructure across multiple tenancy models (single vs. multi-tenant) and public clouds (AWS, Azure, and GCP)
Deepen our team’s Kubernetes and container orchestration expertise, helping strengthen platform scalability, security, and developer experience
Partner with Architecture, Release Engineering, and Security teams to provide a seamless platform for application teams
Leverage tools and languages such as Terraform, Kubernetes, Helm, Argo CD, Python, Go, Bash, and Datadog
Participate in a balanced on-call rotation in an environment that values continuous improvement, helping to improve reliability and reduce operational toil

Application process

What to expect in the hiring process (Zoom Interviews)
Interview with a Talent Acquisition Partner
Technical Interview with Hiring Manager
Team Interviews
Final interview with leadership team member

Our take

In 2018, dbt Labs founder Tristan Handy was running an analytics company and created a data build tool (or ‘dbt’) to help transform data for analysis. Fast forward one year and dbt Labs was born, offering its tools to help companies everywhere transform their data workflows.

Raw data comes in myriad forms and dbt Labs’ software allows data specialists to manage the data transformation layer making its use for analysis much easier. It offers consulting services on top of the software, and has ridden a wave of companies embracing digital transformation more as their services and workplaces become more online.

Seen as the defacto standard for modern analytics engineering by many, it reached unicorn status within 2 years of launch and is focusing future efforts on expanding reach more markets outside of the US. Its recent acquisition of Transform, an analytics engineering company, will aid in further developing its product's data transformation capabilities.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

14% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 4 rounds)

Feb 2022

$222m

SERIES D

Jun 2021

$150m

SERIES C

Total funding: $414.4m

Company benefits

Equity Stake
Unlimited vacation
401k w/3% guaranteed contribution
Excellent healthcare
Paid parental leave
Home office stipend

Company HQ

West Poplar, Philadelphia, PA

Leadership

Tristan Handy

(CEO)

Previously worked as a Senior Consultant at Deloitte, Director of Operations at Squarespace, COO at Argyle Social and Vp of Marketing at RJMetrics.

Connor McArther

(CTO)

Former Software Engineer and Engineering Manager at RJMetrics and Stitch.

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