We're 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. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're just getting started.
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.
We're a world-class team that executes quickly, obsesses about the customer experience, promotes from within, and we're profitable with infinite runway.
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.
Do you meet most but not 100% of the above? We’d still like to hear from you–we are passionate about developing a diverse team and culture, so please apply if you’re 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 company's 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 you're not in the area.
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