Sr. Software Architect

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**

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• *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**
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• 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**

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• *Relocation Assistance Provided:** Yes