What Youll 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.

• Documenttechnical specifications project plans and post-implementation reviews to keep a knowledge base for future projects.

• Communicateproject status challenges and successes to leadership and customers providing clear and concise updates.

What youll bring (Basic Qualifications):

• 5-8 years of experience with a bachelors degree in computer science Information Technology Engineering or a related field or equivalent experience/knowledge.

• Experience in infrastructure architecture cloud platform engineering enterprise infrastructure or related technical roles.

• Experience contributing to infrastructure initiatives in industrial enterprise or engineering environments including cloud and hybrid deployments.

Strong understanding of:

• Cloud platforms (AWS Azure) and hybrid architectures with a cloud-first mindset and some practical on-premises experience

• Virtualization and platform operations (for example VMware Hyper-V Nutanix containers or orchestration platforms)

• Infrastructure automation platform operations and DevOps practices as applied to infrastructure and platform delivery

• Infrastructure as Code and repeatable cloud provisioning patterns

• Ability to translate infrastructure and security requirements into practical implementation plans.

• Foundational knowledge of enterprise networking compute storage and resiliency concepts

• Effective communication and collaboration skills with the ability to work across teams including engineering IT/OT cybersecurity operations and leadership.

Preferred Qualifications:

• Familiarity with data architecture storage patterns and platform requirements for analytics and AI-enabled workloads

• Experience in the energy power generation aerospace manufacturing or heavy industrial equipment sectors.

• Familiarity with engineering tools reliability analytics digital twin environments or data-intensive engineering platforms.

• Exposure to SCADA historians industrial remote monitoring systems or IT/OT integration concepts

• Exposure to ML/AI GenAI LLMs or AI platform concepts from an infrastructure and platform perspective

• Experience supporting engineering manufacturing industrial analytics or other operational environments is a plus.

• Hands-on scripting or automation experience (for example Python PowerShell Bash or SQL) to support infrastructure and operational workflows.

• Background in LEAN Six Sigma site reliability or operational excellence methodologies.

• Working knowledge of cybersecurity principles relevant to cloud enterprise infrastructure and OT-connected environments including identity access control hardening logging and compliance.

• Excellent critical thinking skills.

What success looks like

• Engineering teams have fast reliable secure access to the data and compute they need.

• Analytics and AI solutions deploy faster and scale more efficiently.

• Infrastructure platforms become standardized automated and easier to operate.

• Cross-functional teams trust you as the connective tissue between engineering data and IT/OT.

• You help strengthen the companys ability to deliver reliable secure and scalable digital solutions.

What will make you stand out

• Hands-on infrastructure delivery: experience contributing to cloud hybrid networking compute storage or platform improvement initiatives.

• Cross-team collaboration: experience working with infrastructure cybersecurity operations and engineering stakeholders to deliver reliable and secure platforms.

• Continuous learning: demonstrated interest in cloud cybersecurity AI platform and infrastructure automation practices with willingness to apply and expand those skills.

Benefits Available to You

GEV employees rise to the challenge of building a world that order to meet this mission we provide varied competitive benefits to help support our workforce.

• Our compensation & benefits are designed to help you manage your personal and family needs while rewarding high performers. We offer a robust benefits package depending on your employment status and your national requirements.

• A healthy balanced lifestyle can mean different things to different people. Weve created programs that support the way you live and work today.

• GE invests to provide opportunities to grow your career by providing a path for continued on-the-job learning and development.

Inclusion & Diversity

At GEV we believe in the value of your unique identity background and experiences. We are committed to fostering an inclusive culture where everyone feels empowered to do their best work because they feel accepted respected and that they belong.