Software Engineer, Devops / Infrastructure

Topaz Labs

Dallas, TX, US
On-site
Devops engineering experience
Ml model training infrastructure
Automated testing implementation
The role involves expanding the pipeline to deliver new products and ML models while increasing automated testing and application stability

Job Summary

  • The role involves expanding the pipeline to deliver new products and ML models while increasing automated testing and application stability.
  • Candidates will work closely with the product engineering team to sustain biweekly update deliveries and improve internal development processes.
  • Topaz Labs is a profitable AI tech company with over 1 million customers including Google, NASA, and Netflix.

Matching Summary

The role involves expanding the pipeline to deliver new products and ML models while increasing automated testing and application stability.

Skills & Requirements

Must-have

  • DevOps engineering experience
  • ML model training infrastructure
  • Automated testing implementation
  • Biweekly update delivery support

Nice-to-have

  • High standard for craftsmanship
  • Customer experience obsession
  • Fast execution culture
  • Promotion from within opportunities

Key Requirements

  • Experience with DevOps practices
  • Knowledge of ML infrastructure
  • Ability to work in a fast-paced environment

Work Rights

Not specified

Tailored Resume

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