Cloud & Infrastructure Platform Engineer

Role Overview

We are seeking an infrastructure-focused technical professional to help shape and support the environments that power engineering analytics, remote monitoring and diagnostic systems, and data-driven decision making across our power plant equipment and services business.

This role works at the intersection of Engineering, IT/OT, Cybersecurity, Data & Analytics, and Operations, with a primary focus on infrastructure: cloud platforms, networking, compute, storage, virtualization, identity, security, and hybrid connectivity. The ideal candidate brings practical experience in infrastructure and cloud technologies, along with exposure to how ML, AI, and GenAI systems rely on the right data, compute, storage, networking, security, and operational foundations.

You will contribute to infrastructure initiatives that help our teams build secure, scalable, and reliable platforms for analytics, machine learning, and AI-enabled solutions. This is not a software-development-first role; it is an infrastructure-first role for a candidate who can collaborate across cloud architecture, operations, cybersecurity, and data platform enablement.

Through relentless innovation and continuous collaboration with our customers, GE Gas Power, part of GE Vernova, is providing more advanced, cleaner, and efficient power that people depend on today and building the energy technologies of the future.

Responsibilities

What You'll Do:

• Support the design and evolution of infrastructure platforms for engineering analytics, ML/AI, and GenAI workloads, with emphasis on cloud-first architecture.
• Review existing architectures for improvement opportunities and recommend changes to improve performance, reliability, cyber security, and cost.
• Translate infrastructure, operations, cybersecurity, engineering, and data science requirements into practical technical designs and implementation plans while adhering to enterprise standards.
• Partner with Engineering, Data/Analytics, IT/OT, Cybersecurity, and Services teams to align infrastructure capabilities with business needs while supporting reliability, resiliency, and secure operations.

Program & Project Leadership

• Support infrastructure initiatives across architecture, design, implementation, testing, deployment, and operational transition for cloud and hybrid environments.
• Work with cross-functional teams including infrastructure architects, cloud engineers, security specialists, platform engineers, operations teams, and external vendors.
• Contribute to delivery using LEAN, Agile, and modern infrastructure practices, with focus on automation, operational readiness, and measurable business outcomes.

Technical Depth & Architecture

Contribute to architectural decisions for cloud-first, secure, and scalable infrastructure, including support for:

• Compute environments for engineering analytics, simulation, and ML/AI workloads
• Data platforms, data lakes, and storage architectures that support analytics and data-intensive workloads
• Exposure to SCADA, Industrial IoT, historians, time-series data platforms, or remote monitoring and diagnostic systems
• Cloud-first AWS and Azure architectures with practical hybrid patterns spanning on-premises infrastructure, networking, and secure connectivity
• Infrastructure patterns that support analytics, ML/AI, and emerging AI use cases, including compute, storage, orchestration, observability, access control, and operational resiliency

Integration & Data Enablement

• Support integration across OT systems, engineering tools, enterprise platforms, cloud services, and security controls to enable reliable and secure data movement.
• Partner with data and platform teams to help ensure pipelines, governance, storage, and access patterns meet performance, reliability, and security requirements.
• Help enable secure, scalable access to engineering and operational data for analytics, ML/AI, and GenAI use cases while supporting governance and compliance expectations.

Operational Excellence

• Support tracking of SLAs, KPIs, and performance metrics for infrastructure platforms
• Help ensure systems are secure, compliant, resilient, and optimized for cost and performance
• Drive continuous improvement through automation, monitoring, and LEAN methodologies.
• Troubleshoot and help resolve infrastructure and platform issues, working with systems operations, engineering, and support teams to minimize downtime and improve user experience.
• Document technical specifications, project plans, and post-implementation reviews to keep a knowledge base for future projects.
• Communicate project status, challenges, and successes to leadership and customers, providing clear and concise updates.

Requirements

What you’ll bring (Basic Qualifications):

• 5-8 years of experience with a bachelor’s degree in computer science, Information Technology, Engineering, or a related field.