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Create advantage through scientifically validated analytics

Site Reliability Engineer - Federal (TS/SCI)

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

Descartes Labs helps organizations whose success depends on scientific analysis of observable, physical world events. We are the leading provider of geospatial analytics that create actionable intelligence by strengthening our customers’ proprietary data with models of the earth. Our solutions create new sources of environmental sustainability and operational advantage and foresight for agriculture, CPG, mining, and government users by combining machine intelligence and domain expertise into a complete operational solution.

Descartes Labs is proud to be a remote-first, deliberately distributed organization that recognizes that people have different needs and motivations for building a life and career that matters and works for them. For this reason, we are open to our employees working from any location, in a way that enhances their well-being, productivity, and role. We focus on helping our employees produce positive outcomes and we recognize that the path to getting there will look different for different people.

The Role

As our Federal 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 role will include working closely with our federal partners in both classified and unclassified environments, understanding and developing within policies and regulations of our partners and working within our technical team the requirements of our clients.

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
  • An active TS/SCI clearance, or TS/SCI clearable

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

Who You Are

  • Curious. You are always exploring and experimenting, interested in why and how, seeking not only to understand but to make work and the world better. You enthusiastically share your learning with others and actively seek information and knowledge.
  • Conscientious. You are determined, always keep your promises, and are forward thinking. Principled and integrous, you take your commitments seriously.
  • Humble. Unpretentious and self-aware, you cultivate compassion for others and take responsibility for your mistakes. Egoes are barriers to doing the best work and always learning.
  • Open and Inclusive. You are receptive and interested in new ideas and perspectives, even when those perspectives don’t agree with your views. You value and respect difference and create ways for all people to contribute to the organization.
  • Collaborative. You know it takes a team to get anything accomplished and you actively and inclusively work across the organization. You listen intently and openly and are always focused first on creating the best results.
  • Adaptable. You are able to navigate changing circumstances and environments with ease and approach uncertainty with enthusiasm, while inspiring others towards effective goal setting and accomplishment.

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
Location
New York City • San Francisco • Minneapolis • Santa FeRemote
Hires remotely
Everywhere
Job type
Full-time
Visa sponsorship
Not 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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