Technical Project Lead / Manager

Responsibilities

• Lead the design, deployment, and optimization of cloud and on-prem compute environments supporting AI/ML, MLOps, and HPC workloads.
• Oversee GPU-enabled compute clusters, HPC networking, and performance tuning.
• Direct the implementation and maintenance of CI/CD pipelines supporting model training, model deployment, and data-intensive workflows.
• Guide engineers on containerization, orchestration, system architecture, and infrastructure modernization.
• Ensure systems comply with security, accessibility, and governance requirements (e.g., DevSecOps practices, hardened cloud/on-prem environments).
• Own end-to-end delivery for infrastructure and engineering initiatives, including scope, schedule, risks, and dependencies.
• Develop and maintain project roadmaps, resource plans, and technical execution milestones.
• Drive a modified Agile delivery process tailored to the team's engineering workflows, ensuring consistent cadence and continuous improvement.
• Coordinate cross-functional contributors including cloud engineers, systems engineers, platform engineers, data engineers, and security professionals.
• Maintain strong relationships across internal teams and external partners supporting cloud, network, and AI/ML projects.
• Oversee operational readiness, system reliability, and performance of hybrid compute environments.
• Partner with security teams to ensure compliance, secure configuration, and continuous risk management.
• Support troubleshooting of complex infrastructure, networking, or performance issues across GPU and HPC platforms.

Qualifications

• 5 years of experience with any of the following knowledge:
• Experience leading hybrid cloud and on-premises infrastructure projects (AWS or private cloud).
• Strong background in systems engineering, cloud engineering, or HPC engineering.
• Hands-on familiarity with GPU-accelerated compute, containerized workloads, Kubernetes, and cluster-based architectures.
• Working knowledge of CI/CD pipelines and DevSecOps tooling.
• Demonstrated ability to run Agile or hybrid-Agile delivery processes.
• Experience managing cross-functional engineering teams and coordinating technical efforts.
• Ability to travel 25% of the time OCONUS

Preferred Qualifications

• Experience supporting AI/ML platforms, MLOps workflows, or data-intensive systems.
• Background with high-speed networking (InfiniBand, data plane acceleration, or HPC fabrics).

Clearance

An active TS/SI is required.