Design and implement robust build automation systems that support large, distributed AI/C++/Python codebases.
Develop tools and scripts that enable developers and researchers to rapidly iterate, test, and deploy across diverse environments.
Integrate C++ components with Python-based AI workflows, ensuring compatibility, performance, and maintainability.
Lead the creation of portable, reproducible development environments, ensuring parity between development and production.
Maintain and extend CI/CD pipelines for Linux and z/OS, implementing best practices in automated testing, artifact management, and release validation.
Collaborate with cross-functional teams — including AI researchers, system architects, and mainframe engineers — to align infrastructure with strategic goals.
Proactively monitor and improve build performance, automation coverage, and system reliability.
Contribute to internal documentation, process improvements, and knowledge sharing to scale your impact across teams