About this role
Job Description Summary The Enterprise Architect leads the architecture, build, and operation of High-Performance Computing (HPC) platforms on AWS Cloud, driving deployment efficiency, platform reliability, and AI-enabled optimization.
Job Description Roles and Responsibilities
• Design, build and run HPC platforms on AWS Cloud. • Engineer and maintain software configuration, deployment, and automation processes • Troubleshoot and resolve recurring platform issues with scalable, long-term solutions • Drive continuous improvement in platform reliability, performance, and cost efficiency • Use AI/ML-driven approaches to optimize infrastructure utilization, workload performance, and operations • Collaborate with engineering, cloud, and operations teams to deliver robust HPC solutions • Deliver architecture roadmaps and projects to fulfill product rollout needs and business driven outcomes • Contribute to long term architecture and implementation of GE Vernova Compute strategy. • Participate in the domain technical and business discussions relative to future architect direction. • Assist in the analysis, design and development of a roadmap and implementation based upon a current vs. future state in a cohesive architecture viewpoint. • Research and evaluate emerging technology, industry and market trends to assist in project development and/or operational support activities. • Coach and mentor team members. Education Qualification Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum years of experience6years Qualifications
• 4+ years of experience in cloud infrastructure, or systems architecture • Hands-on experience with AWS Cloud environments - (EC2, EFS, S3, Networking) • Strong background in Linux administration, automation, and software deployment • Experience with Infrastructure as Code, CI/CD, and configuration management • Knowledge of HPC schedulers, storage, and networking • Proven ability to identify root causes and solve systemic technical issues • Familiarity with applying AI/ML techniques for optimization and operational improvement • Strong problem-solving, communication, and collaboration skills
Leadership: • Demonstrated working knowledge of internal organization • Foresee obstacles, identify workarounds, leverage resources, rally teammates. • Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel. • Demonstrated Change Management /Acceleration capabilities • Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels • Proven analytical and problem resolution skills • Ability to influence and build consensus with other Information Technology (IT) teams and leadership
Additional Information Relocation Assistance Provided: Yes