Administer and optimize NetSuite and related enterprise platforms, providing production support, configuration, access governance, and process improvements for Finance, Supply Chain, Manufacturing, Procurement, and Corporate Operations.
Design deployment-ready infrastructure for AI data center clusters, translating system architectures into rack layouts, equipment plans, power and cabling maps, while automating repeatable design and validation workflows.
Build, operate, and secure network infrastructure across data centers, cloud, corporate environments, and AI systems, with responsibility for network controls, automation, troubleshooting, and incident response.
Harden security across on-prem and cloud clusters, from bare metal and virtualized systems to Kubernetes workloads, while defining controls, threat models, and secure designs with engineering teams.
Harden the software supply chain from source code through deployed artifacts by defining build security requirements, threat modeling CI/CD systems, and partnering across engineering teams to deliver secure workflows.
Define and guide multi-generation scale-up network architecture for AI platforms, translating workload and system needs into fabric requirements and driving protocols, switches, models, and implementation through qualification.
Own and scale critical areas of the Developer Console, building frontend systems and backend services for inference usage, billing, quotas, logs, and metrics while guiding architecture and technical execution.
Design and build Python infrastructure that orchestrates engineering workflows across machines and clusters, including distributed execution, scheduling, test systems, and developer tools used across engineering teams.
Establish and govern physical security across contract manufacturing sites, assessing risk, protecting intellectual property, overseeing security controls and services, and responding to incidents.
Own monthly close and financial reporting for inventory, manufacturing costs, and global leases, including reconciliations, journal entries, audit support, and process improvements across finance and operations.
Develop host and network I/O software for AI clusters, exposing hardware capabilities, optimizing bandwidth and latency, debugging network performance, and building tools to improve visibility into the I/O datapath.
Leads quality, reliability, and release validation for a GPU inference stack, building automated test systems that verify cluster readiness, serving performance, numerical correctness, and resilience.
Build, operate, and secure network infrastructure across data centers, AWS, corporate environments, and AI systems, with hands-on ownership of network controls, operations, troubleshooting, and automation.
Build and operate distributed infrastructure software that provisions and manages large Kubernetes clusters, schedules AI workloads, maintains fleet health, and makes systems observable and recoverable.
Build and operate the platform behind engineering infrastructure, improving CI/CD, Kubernetes, deployment automation, and developer tools while making systems reliable, scalable, and easier to operate.
Lead Release Integration Testing for AI Inference Core, setting evidence-based readiness standards and cross-stack validation while building test architecture, resolving complex failures, and mentoring engineers.
Leads physical implementation of complex, high-performance PCBs for AI systems, from component placement through production release, optimizing signal and power integrity, thermal performance, reliability, and manufacturability.
Own and improve vulnerability management across applications, infrastructure, and AI platforms, prioritizing real-world risk and partnering with engineers to automate remediation and prevent recurring security issues.
Design and lead secure, scalable cloud infrastructure and identity platforms across AWS and data centers, advancing Zero Trust, production reliability, and developer experience while mentoring engineers and driving cross-team initiatives.
Leads developer productivity infrastructure by improving CI/CD, build and artifact systems, cloud workloads, and internal tooling to increase engineering velocity, reliability, and scalability.
Leads supplier qualification and quality performance for complex hardware, approving parts and processes, assessing supplier readiness, monitoring quality trends, and driving containment and corrective action.
Design and operate secure, scalable cloud infrastructure and identity platforms across AWS and data centers, building automation and security controls while supporting reliable production services and incident response.
Connect business strategy, process design, enterprise systems, and technology delivery by translating complex needs into scalable solutions, clear requirements, and measurable improvements across business functions.
Manage global general ledger operations and close processes, ensuring accurate U.S. GAAP reporting while strengthening accounting policies, controls, and reporting across multiple entities.
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