Devops Engineer

Reposted 14 Days Ago
2 Locations
In-Office
120K-160K Annually
Junior
Software
The Role
Responsible for deploying the Uncountable Web Platform in customer environments, coordinating with IT teams, and enhancing internal DevOps infrastructure.
Summary Generated by Built In

Thank you for your interest in Uncountable Engineering!

 

Description

Uncountable is seeking experienced devops engineers to help us successfully deploy our enterprise cloud software solution.  Our goal is to revolutionize industrial research and development.  We're looking for motivated engineers who can help to build a state of the art development platform that will be used across Fortune 500 companies.

 
 

Primary Responsibility

You primary responsibility will be to own the deployment of the Uncountable Web Platform in Customer VPC environments. This will require coordinating a solution with customer IT teams as well as building better automation and DevOps infrastructure internally.

 

Salary Range: $120K-$160K + Equity

Requirements

  • 2 years of development experience

  • Strong interest in the details of modern cloud applications

  • Solid computer science and software engineering fundamentals

  • B.S. in computer science

Benefits

  • Competitive Salary and Equity

  • Health and Dental Insurance

  • 401K with Employer Contribution

What's next? Learn more about Interviewing at Uncountable

 

Learn more about our engineering team: Check out our blog

Skills Required

  • 2 years of development experience
  • Strong interest in modern cloud applications
  • Solid computer science and software engineering fundamentals
  • B.S. in computer science
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The Company
HQ: San Francisco, CA
46 Employees
Year Founded: 2016

What We Do

Uncountable helps the world’s largest manufacturers drive innovation. The Uncountable Platform is an Enterprise-class cloud solution for modern global R&D organizations. Modernize your R&D workflows from disparate, dispersed data sets into an integrated R&D knowledge base. Unearth new learnings with visualization tools, and add predictive capabilities to your R&D toolset.

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