Software Engineer, DevOps

Topaz Labs

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profile Job Location:

Dallas, IA - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Department:

Engineering

Job Summary

Were Topaz Labs an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work including teams at Google Nvidia NASA and more. Weve processed over 1 billion images achieved 1000% revenue growth in the last 4 years and were just getting started.

About us

Rocketship growth and opportunity for impact ($3M $48M revenue in six years). Over 1 million customers (including companies like Apple NASA Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company The Verge Engadget Mashable BBC and more. Were a world-class team that executes quickly obsesses about the customer experience promotes from within and were profitable with infinite runway.

About the role

As a DevOps Engineer on our team you would be a key part of development on all Topaz software - including our core products Photo AI Video AI and Gigapixel ML model training infrastructure and distribution and our website and other internal tooling.
You will be working alongside our current devops engineer and helping expand our pipeline to deliver new products and ML models as we grow in 2024.

Another chief goal is to increase automated testing and stability of our applications. You will also work closely with our product engineering team to sustain & improve biweekly update deliveries as well as internal development processes. You will be joining an awesome team that sets a high standard for craftsmanship and feature delivery.

About you

    • At least 2 years of professional working experience in a related field.
    • Deep familiarity with C build tools (3 years).
    • Hands-on experience with AWS Azure or similar cloud platforms.
    • Experience building and deploying CI/CD pipelines.
    • Experience implementing test automation.
    • Knowledge of networking infrastructure including CDN caching.

Preferred

    • Experience building releases for Windows and/or MacOS or iOS.
    • Experience in Python Go or Javascript.
    • QT development/build experience.
    • Experience with Conan.
    • Experience with test automation tools such as Eggplant.
$110000 - $160000 a year
Our compensation packages will correspond to experience but also performance during the interview process. They include base salary equity and profit sharing.
Do you meet most but not 100% of the above Wed still like to hear from youwe are passionate about developing a diverse team and culture so please apply if youre interested!

This is a unique role for someone interested in making a deep impact at a high-growth tech software company. We offer strong base salary plus significant ownership that scales with the companys growth. We also offer 100% covered medical/dental/vision for employees 15 days annual PTO 5 personal days plus holidays and 401k matching. This is a full-time onsite role in Dallas TX and we will ask you to relocate if youre not in the area.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Were Topaz Labs an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work including teams at Google Nvidia NASA and more. Weve processed over 1 billion images achieved 1000% revenue growth in the last 4 ...
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Key Skills

  • Spring
  • .NET
  • C/C++
  • Go
  • React
  • OOP
  • C#
  • Data Structures
  • JavaScript
  • Software Development
  • Java
  • Distributed Systems

About Company

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Photo and video enhancement software powered by deep learning gets you the best image quality available for noise reduction, sharpening, upscaling, and more.

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