Application lifecycle services and ML infrastructure on AWS
Fuge Technologies provides end-to-end application development and lifecycle support, with a visible shift toward ML infrastructure and data pipeline work on AWS. The tech stack spans both traditional enterprise backends (Oracle, Teradata, PL/SQL) and modern ML frameworks (TensorFlow, PyTorch), while active projects cluster around CI/CD for ML, model serving, and data analytics — indicating a pivot from pure staffing toward technical delivery on scalable ML systems.
Fuge Technologies is an IT services firm based in Irving, Texas, delivering application development and quality assurance support across the full software lifecycle. The company staffs engineering teams for client projects and runs an internal talent acquisition function (TAG Team) to source technical personnel. Current project focus includes scalable ML solutions on AWS, CI/CD pipeline automation, model monitoring, and analytical dashboards. The engineering-heavy workforce (11 of 13 active roles) is split across mid, junior, and senior levels, with minimal recent hiring velocity.
Python, Java, C++, Go, Rust, Oracle, MongoDB, MySQL, Teradata, Hadoop, AWS (with CDK and CloudFormation), Docker, Kubernetes, TensorFlow, PyTorch, and traditional tools like PL/SQL, Linux, Jira, and Workday.
Scalable ML solutions on AWS, CI/CD pipelines for ML workflows, model serving and monitoring, analytical dashboards, data analytics, and design automation frameworks for web application testing.
Other companies in the same industry, closest in size