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HyperScience // AI-based enterprise solns for automating work
 
Engineering, Full Time    New York City - NY, US Remote    Posted: Saturday, September 18, 2021
 
   
 
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JOB DETAILS
 
Company Description
Hyperscience modernizes mission-critical processes & operations for the world's largest organizations & government agencies. Since 2014, Hyperscience's automation technology has helped data-centric companies parse through vast amounts of unstructured inputs & raw information to get to swifter & smarter business outcomes. Through the Hyperscience Platform, enterprises are empowered to transform their operations, & drive operational efficiency as well as human productivity by fully unlocking the power of their data.

Ranked on the Fastest-Growing Company List, Hyperscience has raised $190M from investors including Tiger Global, BOND, Bessemer Venture Partners, Stripes, & FirstMark. The company has consistently been recognized as one of the best places to work with a collaborative & innovative culture & best-in-class benefits.

The company has a global footprint with offices in New York City, Sofia, Bulgaria, Toronto, Canada, & London, UK.

Job Description
As a DevOps Engineer, you will be responsible for contributing technical work on the Delivery Enablement squad, which is critical to the success of the engineering department.

Hyperscience comprises a large & growing engineering workforce. At this scale, we must solve problems through automation & effective operations. You will own the CI/CD infrastructure that's a central part of our day-to-day life. Your team will continuously improve & make our SDLC a more reliable process through smart tooling. You will help execute medium to long-term roadmap initiatives. You will be working with Product to iteratively improve our application deployment experience, with keen interest in supportability & user experience. 

This is an exciting time for Hyperscience's product & business. You will have the opportunity to influence & deliver on a bold vision for transforming the way organizations model & execute their business processes, & there will be many opportunities for growth along the way.

 
 
 
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