Job Description Summary

Senior software architect responsible for coordinating across a portfolio of products that are deployed in Critical National Infrastructure (CNI) environments globally.

GE Vernova is the leading software provider for the operations of national and regional electricity grids globally. This includes a wide range of software products, from supporting electricity markets, enabling grid and network planning to real-time electricity grid operations.

This technical role partners closely with lead software architects in the cyber security, data, power transmission and power distribution domains to ensure secure, performant and composable designs and implementation across the technology portfolio.

Reporting directly to the VP of Engineering, this role will facilitate and drive architectural strategy and hands on activities across our GridOS Operate and Transact product lines. This individual will lead technical vision, planning and oversite of best practices to drive architectural patterns and large scale platform decomposition efforts to deliver on a modern, scalable and composable microservice architecture at scale.

Job Description

Grid Software (a division of GE Vernova) is driving the vision of GridOS - a portfolio of software running on a common platform to meet the fast-changing needs of the energy sector and support the energy transition. Grid Software has extensive and well-established software stacks that are progressively being ported to a common microservice architecture, delivering a composable suite of applications. Simultaneously, new applications are being designed and built on the same common platform to provide innovative solutions that enable our customers to accelerate the energy transition.

This role is for a senior application architect who understands the core designs, principles, and technologies of GridOS. Key responsibilities include:

• Formalizing Data Models and API Standards: Lead the formalization and standardization of data models and API standards, in alignment with our architecture core team, for our GridOS Operate and Transact applications, ensuring interoperability and efficiency.
• Leveraging CIM Standards: Implement and advocate for the Common Information Model (CIM) standards to ensure consistent data representation and exchange across systems.
• Architecture Reviews and Coordination: Contribute to architecture reviews across the organization, and lead architectural review processes, decisions and communications on those decisions for the GridOS Operate and Transact applications.
• Knowledge Transfer and Collaboration: Work with the Architecture SteerCo and Developer Standard Practices team to establish standard practices for GridOS Operate and Transact platforms, applications and services, in alignment with our architecture standards for GridOS.
• Documentation: Ensure that data modeling and API standards are accurately documented and maintained in collaboration with documentation teams. Drive the use of contract based development models across the GridOS Operate and Transact engineering teams.
• Backlog Planning and Dependency Management: Work across software GridOS teams to prepare backlog planning, identify, and manage cross-team dependencies as it applies to architecture standards and deliverables for GridOS Operate and Transact solutions.

Education Qualification

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 8 years of experience

Key Knowledge Areas and Expertise

• Data Architecture and Modeling: Extensive experience in designing and implementing data architectures and common data models.
• Disaggregation of Systems into Services: Deep understanding of methods and strategies for modernizing existing monolith applications into a composable set of API based microservices.
• API Standards: Expertise in defining and implementing API standards to ensure seamless integration and data exchange between systems. This should include experience defining contract based development models between teams.
• Common Information Model (CIM): In-depth knowledge of CIM standards and their application within the energy sector.
• Data Mesh and Data Fabric: Understanding of data mesh and data fabric principles, enabling software composability and data-centric design trade-offs.
• Microservice Architecture: Understanding of microservice architecture and software development at scale
• Kubernetes: Understanding of Kubernetes, including software development in an orchestrated microservice architecture. This includes Kubernetes API, custom resources, API