3 days ago

Logo of dbt Labs

Cloud Network Engineer

dbt Labs

IrelandEuropeRemote

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.
 

Our first dedicated Cloud Network Engineer will be responsible for designing, implementing, and managing our cloud network infrastructure. This is an opportunity to establish the practice of network engineering as you help our Infrastructure team support and expand our flagship dbt Cloud offering in AWS and Azure, with possibilities of further expansion.

The role will include designing resilient network architectures with an eye for availability, scalability, and security. Challenges include bringing flexible network architecture to life that supports both single and multi-tenanted deployments… and perhaps most importantly our new cell-based architecture.

In this role, you can expect to:

  • Help us operate our network, including troubleshooting and monitoring (with the help of our SRE team). Promptly diagnose and resolve issues
  • Design network architecture - streamline and improve existing systems while also planning for the future as we expand our tenancy and cloud offerings
  • Review the network needs of developer teams as they develop new features and services - provide subject matter expertise
  • Configure and managing Virtual Private Clouds (VPCs), routing, network security services (collaborating with our Security Engineering team), load balancing, DNS, and more
  • Reduce toil by automating standard operational tasks - and leveling up performance and reliability
  • Come up with novel solutions to allow our clients to securely connect their Data Warehouses to dbt Cloud - potentially regardless of where either is hosted. Expand our already robust PrivateLink offerings.
  • Improve our documentation for network configurations, processes, diagrams, and runbooks

You are a good fit if you have:

  • Worked asynchronously as part of a fully-remote, distributed team
  • Enjoy working collaboratively with product engineering and other stakeholders, including security, field engineering, customer support, and more!
  • Expertise in all layers of the OSI model, fundamental networking protocols (TCP, UDP, DHCP, DNS, HTTP, TLS, etc), VPNs, IPv4 and IPv6, etc
  • Proxy, reverse proxy, and load balancer experience
  • Experience or interest in operating at least some of the tools in our stack, including nginx, Istio, Envoy, AWS and Azure Load Balancer offerings, transit gateways, Route 53, Calico
  • Ability to write and understand scripts and automation in the language of your choice - at dbt Labs you’ll encounter Python, Go, and Bash with Terraform for IaC

Youll have an edge if you have:

  • Experience in multiple public clouds (AWS, Azure, GCP)
  • Terraform experience
  • Kubernetes networking experience
  • Experience defining an SLA and implementing metric collections and reporting for the network products you’ve developed

Optional:

Qualifications:

  • Have at least 3 years of experience
  • Completed enrollment in related bootcamp

Compensation & Benefits

 

  • Salary: Competitive, based on experience
  • Equity Stake
  • Benefits: an extensive package meant to insure physical and mental health
  • *Equity or comparable benefits may be offered depending on the legal limitations

What to expect in the hiring process (all video interviews unless accommodations are needed):

  1. Interview with Talent Acquisition Partner
  2. Interview with Hiring Manager
  3. Team Interviews
  4. Final interview with one of our Values Carriers
 

 

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. Were 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.