Senior Staff Software Architect

gehc; Karnataka; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

GE Healthcare is seeking a Senior Staff Software UI / Design System Architect to define and evolve the architecture of shared UI platforms used across multiple products and teams. This role requires governance, performance engineering, and leadership, with experience scaling design systems across React, Angular, TypeScript, and Web Components ecosystems.

The candidate will shape the Ethos Design System, focusing on scalable architecture, self-service patterns, and adaptability while ensuring

Qualifications

• Strong UI architecture ownership across teams and platforms.
• Experience scaling design systems with React, Angular, TypeScript, and Web Components.
• Leadership in governance, performance engineering, and quality strategy.

Responsibilities

• Define scalable architecture for shared UI and design-system platforms.
• Establish framework-agnostic foundations and design tokens; drive cross-team consistency.
• Own public API boundaries, versioning, deprecation, and migration strategies.
• Set quality gates, performance baselines, and health metrics across teams.
• Guide migration and adoption, partnering with leadership and product teams.

Skills

Architectural ownership

UI architecture

Design system

AI-assisted development

Job description

Job Description Summary

As a Senior Staff Software UI / Design System Architect you will define and evolve the architecture of shared UI platforms used across multiple products and teams. The role requires strong architectural ownership beyond individual framework development, with experience scaling design systems across React, Angular, TypeScript, and Web Components ecosystems.

The ideal candidate should combine strong UI architecture, governance, performance engineering, quality strategy, technical leadership, and practical AI-assisted engineering experience.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

About the Ethos Design System (EDS)

EDS is the unified digital platform that powers GE HealthCare's global software portfolio. It serves as a comprehensive library of reusable UI components, design patterns, and accessibility standards that bridge the critical gap between User Experience (UX) and Engineering. By fostering a philosophy of \" reduce , reuse, and recycle \", EDS enables hundreds of product teams to eliminate redundant coding and design work. We provide the foundational building blocks that ensure our clinical and operational applications are intuitive, consistent, and accessible, allowing teams to focus on patient safety.

The Mission: Scale and Empowerment

We are in a phase of hyper-growth, scaling from 25 adopting products to over 100. This requires an architect who thinks like a platform owner, not just a component builder. You must look beyond individual implementation details to think about scale, governance, and empowerment. You will define the architectural foundations and self-service patterns that let teams move fast without breaking the consistency, compatibility, and accessibility standards required for patient safety.

Core Responsibilities

1. Architecture & Platform Design
   
   
   
   • Platform Architecture: Define and evolve scalable architecture for shared UI and design system platforms.
   
   
   • Framework-Agnostic Foundations: Establish framework-agnostic foundations such as design tokens, styling, shared behavior, and interaction patterns. Drive architectural consistency across Web Components.
   
   
   • Adapter & API Strategy: Define the right approach for framework adapters, native implementations, package structure, and component APIs. Own public API boundaries, backwards compatibility, versioning, deprecation, and migration strategy.
   
   
   
   


2. Quality, Performance & Technical Debt
   
   
   
   • Quality Strategy: Define quality strategy across unit, component , accessibility, visual regression, integration, and E2E testing. Establish release-blocking quality gates and compatibility expectations.
   
   
   • Performance Engineering: Diagnose and improve rendering, DOM, memory, bundle-size, and framework-integration performance. Define measurable performance baselines, budgets, and engineering health metrics rather than subjective assessments.
   
   
   • Debt Prioritization: Prioritize technical and QA debt based on customer impact, adoption, risk, and maintainability.
   
   
   
   


3. Roadmap & Cross-Team Enablement
   
   
   
   • Architecture Roadmap: Create architecture roadmaps and guide long-term evolution without unnecessary rewrites, aligning with product priorities.
   
   
   • Cross-Functional Partnership: Partner with Leadership, Product, UX, QA, DevOps, and engineering teams to drive architecture decisions and adoption across organizational boundaries.
   
   
   • Migration Support: Support consuming teams with migration, integration, and compatibility challenges. Drive adoption across consuming applications rather than focusing only on platform implementation.
   
   
   
   

Core Competencies

• Communicating Trade-offs & Alignment: Exceptional ability to communicate complex architectural concepts by clearly explaining options, technical trade-offs, risks, and long-term implications. Works closely with internal customers across cross-functional engineering, UX, and product teams to ensure alignment and secure buy-in.


• Architectural Ownership: Acts as the clear architectural owner for the UI and Design System platform. Demonstrates cross-team architectural ownership rather than experience limited to individual contributor delivery.


• Applied AI for Development: Uses AI-assisted engineering for refactoring, testing, migrations, documentation, debugging, and code review. Understands model selection and context/token management. Can define safe team-level AI development practices (validation, security, human-review controls) and demonstrate measurable improvements in productivity.


• Evidence-Based Direction: Challenges existing architecture when required and can demonstrate examples where technical direction was corrected based on evidence.


• Mentorship: Mentors senior engineers and Tech Leads, raising ar