Software Engineer, DevOps / Infrastructure

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.

• 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. 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!

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.