Principal Software Architect

Date PostedJuly 17, 2026LocationRemoteCompanyGE VernovaSalary$145,400.00 - $242,400.00TypeSenior Level

Job Summary

The Principal Software Architect will lead the technical vision and architectural strategy for the GridOS Plan product lines. This role involves designing scalable, cloud-native micro-services and modernizing application stacks to accelerate the energy transition. You will collaborate with cross-functional teams to define enterprise standards, integrate AI capabilities, and ensure high-performance, secure software delivery.

Responsibilities

  • Design and modernize cloud-native, distributed software architectures.
  • Define SaaS strategy, scalability patterns, and operational standards.
  • Lead AI/GenAI integration and data engineering initiatives.
  • Govern architecture standards, data models, and API interoperability.
  • Mentor senior engineers and facilitate cross-team technical alignment.

Required Skills

  • Cloud platforms (AWS/Azure/GCP) and Kubernetes
  • Micro-services and event-driven architecture
  • AI/GenAI integration and data modeling
  • DevSecOps and CI/CD automation
  • Enterprise-level technical leadership

Job Details

### Core Responsibilities 1. Systems Architecture & Engineering - Focus: Hands-on design, technical implementation, and modernizing the application stack. - Architect Cloud-Native Applications: Design and evolve distributed systems using micro-services, containers, Kubernetes, serverless, and modern DevOps practices. - Guide Front-End Modernization: Shape UI architecture including micro-front-ends, design systems, and performance optimization for both workstation and mobile interfaces. - Build Data Product Foundations: Architect data pipelines, data patterns, real-time streaming, and API-driven data services. 2. Strategic Leadership & Alignment - Focus: Bridging the gap between business objectives and technical roadmaps. - Partner with Product Leadership: Translate business strategy into scalable technical roadmaps and architectural investments. - Define and Operationalize SaaS Strategy: Establish patterns for tenant isolation, scalability, observability, and operational excellence. - Drive AI Integration: Partner with engineering teams to embed AI/Gen AI and intelligent automation. - Evaluate Emerging Technologies: Assess new cloud, AI, and platform capabilities for innovation. 3. Governance and Compliance - Focus: Maintaining high standards and managing cross-team workflows. - Set Enterprise Architecture Standards: Drive consistency through reference architectures, design patterns, and governance. - Review Architecture and Coordination: Lead architectural review processes and communication for GridOS Plan applications. - Formalize Data Models and API Standards: Lead the formalization and standardization of data models and API standards to ensure interoperability and efficiency, leveraging industry standards such as the Common Information Model (CIM) where appropriate. - Champion Security & Compliance: Ensure architectures meet enterprise security, privacy, and regulatory requirements. - Solution Backlog Planning and Dependency Management: Manage cross-team dependencies regarding architecture standards and deliverables. 4. Coaching & Collaborative Culture - Focus: Elevating team capability and organizational knowledge sharing. - Knowledge Transfer and Collaboration: Work with SteerCo and developer teams to establish standard practices for GridOS Plan applications. - Mentor Senior Architects and Engineers: Provide technical leadership, coaching, and architectural guidance across multiple teams. ### Education Qualification - Bachelor's Degree in Computer Science or "STEM" Majors with 12+ years of software engineering experience with at least 5 years in architectural leadership roles. ### Key Knowledge Areas and Expertise - Cloud, Infrastructure, & DevOps: Expertise in cloud platforms (Azure, AWS, or GCP), distributed systems, Kubernetes, CI/CD, DevSecOps, and SaaS design at scale. - Software Architecture & Modernization: Mastery of micro-services, event-driven systems, API design, micro-front-ends, and modernizing monoliths into composable services. - Data Engineering & Interoperability: Strong understanding of data modeling, streaming, analytics, data mesh, and contract-based development. - AI & Strategic Integration: Experience with AI/GenAI integration, including model deployment, inference pipelines, and enterprise solution delivery. - Leadership & Communication: Ability to influence executive levels, generalize requirements, and simplify complex technical concepts.