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