> Markdown version of [/jobs/ext/4390443-software-engineer-devops-infrastructure](https://www.wearedevelopers.com/jobs/ext/4390443-software-engineer-devops-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, DevOps / Infrastructure - **Company:** Topaz Labs - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Microsoft Windows, Artificial Intelligence, Amazon Web Services, Apple IOS, Apple Mac Systems, Automation of Tests, Microsoft Azure, C++ (Programming Language), DevOps, Python (Programming Language), Machine Learning, Qt (Software), Software Engineering, Computer Networking Systems, Deep Learning, Caching, Build Tools - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-devops-infrastructure-dallas-tx--546fbe81-ba6f-4e23-ae45-f9f3e02c0a59 ## About the Role Software Engineering, DevOps, Deep Learning, Revenue Growth, Artificial Intelligence (AI), Customer Experience, Apple, Machine Tool, DevOps, Software Development, * 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. ## Description 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.