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Design and build production-ready enterprise AI architecture blueprints and open-source Quickstarts, integrate and benchmark model serving and telemetry, ensure secure, compliant deployments, and co-develop integrations with partners.

Design, develop, test, and maintain PKI features for RHEL and Red Hat Certificate System. Contribute to open-source PKI projects, participate in full development lifecycle, ensure code quality, and collaborate with global teams.

Design production-ready, enterprise-grade AI infrastructure blueprints and lead customer workshops, POCs, and technical advisory. Integrate partner ecosystems, optimize feedback into product roadmaps, and autonomously deliver complex Kubernetes-based, containerized AI/ML solutions while mentoring junior engineers.

Lead design and delivery of scalable AI platform solutions across APAC, scope consulting engagements, architect distributed training/inference and production ML systems, mentor regional teams, align customer needs with Red Hat AI Platform, and represent Red Hat in regional/global AI strategy while traveling up to 40% in APAC.

Lead design, implementation, and productionization of enterprise AI solutions on Red Hat AI Platform and OpenShift across APAC. Deliver end-to-end AI workloads (data pipelines, training, LLM serving, inference), drive pilot-to-production, implement responsible AI controls, mentor team members, and produce architecture and operational documentation.

Develop and maintain container technologies (Podman, Buildah, Skopeo, sigstore) in an agile team. Write features, fix bugs, review PRs, create tests and docs, engage upstream communities, triage security issues, and present work at conferences.

Lead end-to-end delivery of hardware accelerator virtualization for OpenStack and OpenShift, prioritizing GPU/FPGA enablement, driver/kernel compatibility, secure boot, resource scheduling, and cross-functional coordination with hardware partners, engineering, and quality teams to validate scalable, secure accelerator features for AI/ML and HPC workloads.

The Senior Software Engineer will design, develop, and test PKI solutions, mentor other engineers, and collaborate on open-source projects.

Design and deliver production-grade enterprise AI architecture blueprints and open-source Quickstarts. Build integrations, benchmarking/evaluation harnesses, and secure, compliant deployment patterns across cloud-native and heterogeneous hardware environments.

Develop, deploy, and operate distributed research software and transition prototypes to production using OpenShift/OpenStack and other open-source tools. Collaborate with researchers to design, train, and optimize AI/ML models (including LLMs), contribute to open-source projects, and support student-focused activities like hackathons and mentoring.