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Create advantage through scientifically validated analytics

Site Reliability Engineer

$110k – $160k AngelList Est.
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The Company:

We at Descartes Labs built a supercomputer in the cloud that currently ingests 10 Terabytes of near real-time geospatial data per day. Our micro-services based Platform is developed from the ground up, cloud-native, and we see a peak load of nearly a billion API calls a day. We aim to supercharge machine learning scientists to ask geospatial and temporal questions not previously possible, in order to better understand the changing physical world. We are looking for a backend infrastructure engineer with strong micro-services and Kubernetes experience to join our team!

Diverse problems require a diverse group of individuals and mindsets which is why we strive to build an inclusive culture and community. We strive to empower our teams to tackle the world’s largest problems for good and for profit. Join us at Descartes Labs where we’re helping people see the world in a different way.

The Role:
As an Site Reliability Engineer, you will be responsible for maintaining and improving the infrastructure on our geospatial analysis platform, proactively and reactively resolving any technical issues from data ingestion to machine learning model deployment.

Your Impact:

  • Lead the charge for resolving issues in our production, test and dev environments
  • Help test and optimize our API’s which encompass our geospatial analytics platform
  • Work closely and collaboratively with software engineering to deploy and operate our cloud processing pipeline
  • Build and maintain tools for deployment, monitoring, and operations

What You Bring:

  • Production workload experience with Kubernetes or distributed systems
  • Real-world experience with automation & configuration management (Terraform)
  • Experience with modern build systems and CI/CD pipelines (Spinnaker, Drone, Jenkins, etc)
  • Strong familiarity with cloud systems (Google Cloud/AWS) and cloud infrastructure
  • Proficiency with Linux systems
  • Experience with NoSQL or other scalable data stores
  • Strong Python experience
  • Understanding of best practices for large-scale always-available web services

Our Interview Process:

  • Qualified candidates will be invited to schedule a 30-minute screening call with one of our recruiters
  • Depending on the outcome of the screening call, candidates will be invited to schedule a 30-60 minute interview with our Engineering Hiring Manager
  • After that, candidates will be invited to schedule a 60 minute paired programming interview with an additional member of our Engineering team
  • Finally, candidates are invited to a virtual interview panel with ~5 members of the Engineering team

Top Reasons To Work At Descartes Labs:

  • We pride collaboration over ownership, iteration over perfection, principles over rules, and discussion over directives
  • We’re using the world’s top technology to solve the world’s largest problems with a strong focus on sustainability, environment, and impact science
  • We look at Descartes Labs as a work environment where people are included, treat their colleagues with professional regard and respect, and thrive as a result
  • We’re a highly collaborative company that constantly promotes success through teamwork
  • We strongly encourage and enjoy a flexible work environment
  • Descartes Labs offers a generous compensation package including a competitive salary; choice of medical plan; dental, life, and disability insurance; a 401K plan; paid holidays and flexible paid time off

You belong here! If your experience and interests match with some of the above, we want you to apply. Nobody is an expert on all or even parts of our stack. When you join our team you will deepen and widen your knowledge as your grow with us over the next few years.

Descartes Labs is committed to building a diverse community and we embrace equal opportunity in a serious way. We strive to be a team with a variety of backgrounds, perspectives and skills. Scientific discovery is in our DNA and the more inclusive we are, the better our work will be; diversity fuels innovation!

Accommodations will be provided as requested by candidates during all aspects of our interview process.

Location
New York City • San Francisco • Minneapolis • Santa FeRemote
Hires remotely
Everywhere
Job type
Full-time
Visa sponsorship
Available

Blue cross blue shield

Choice of 2 BCBS plans; fully-covered with higher deductible, not fully-covered with lower-deductible. HSA, Dental, Vision, Short and Long-Term Disability.

401k

Managed financial service, unmatched.

Maternity and paternity leave

12 weeks paid leave, inclusive of adoption or foster care.

Stock options

Work from home

Flexible paid time off

In addition to 11 celebrated holidays.

Chef in hq office

Membership to gym

Pet-friendly office

Funded conference attendance

Descartes Labs at a glance

Create advantage through scientifically validated analytics

Descartes Labs focuses on Internet, Consumer Goods, Machine Learning, Artificial Intelligence, and Development Platforms. Their company has offices in New York City, San Francisco, Minneapolis, and Santa Fe. They have a mid-size team that's between 51-200 employees. To date, Descartes Labs has raised $58.3M of funding; their latest round was closed on September 2019.

You can view their website at http://www.descarteslabs.com/ or find them on Twitter, Facebook, and LinkedIn.

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