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Design, build, deploy, and operate production software powering AI services and platform infrastructure. Own backend services and APIs end to end, including Kubernetes deployment, GitOps, infrastructure as code, observability, incident response, and performance optimization. Develop distributed, multi-tenant systems using reliable communication patterns, cloud platforms, and data services. Collaborate across engineering, platform, and infrastructure teams while participating in on-call and continuous improvement.

Performs Level 2 incident analysis across GPU clusters, networks, and facilities; tunes alerts, routing, dashboards, and monitoring; validates AIOps outputs; maintains reliability metrics and ITSM records; implements small automations; supports RCA workflows, shift handoffs, and operational reporting; and coaches junior analysts in a 24/7 IOC/NOC environment.

Designs, deploys, integrates, and optimizes high-performance computing clusters using Kubernetes, Slurm, and HPC management tools. Responsibilities include maintaining cluster availability, monitoring and troubleshooting systems, documenting architectures and procedures, adopting new technologies, collaborating on operational best practices, and providing technical leadership and training.