Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The UI Software Engineering Lead is responsible for technical leadership, design quality, and delivery execution of Aikyam's user interfaces, ensuring secure and accessible UI solutions that align with enterprise identity standards.
Responsibilities:
- Lead UI architecture and design patterns for scalable, reusable, and secure front end solutions
- Own UI standards for performance, accessibility (WCAG), security, and user experience consistency
- Drive modern front end practices (micro frontends, modular UI, design systems, state management)
- Partner with stakeholders , identity platform architects, and security architects to deliver end to end identity experiences
- Ensure high quality deliverables by enforcing quality gates, and engineering standards
- Provide technical mentorship and guidance to UI engineers (onshore/offshore)
- Act as the UI point of contact for cross team and cross program initiatives
- Collaborate with Product, UX, Security, Platform, and DevOps teams
- Ensure UI solutions meet HIPAA, PHI, and enterprise security requirements
- Lead with AI augmented engineering practices
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent)
- 8+ years of software engineering experience
- 5+ years in UI / front end development in an enterprise - scale, customer facing application
- 5+ years of experience with the following: JavaScript / TypeScript, React (or equivalent modern framework), HTML5, CSS3, responsive design
- 3+ years of experience with Scripting languages (Python and PowerShell)
- 3+ years of development experience and expertise with AWS / AZURE / GCP using cloud native technologies
- Demonstrated experience leading UI teams or acting as UI technical lead
- Experience with OAuth 2.0, OpenID Connect, SAML 2.0, Identity federation, Single Sign-On, RBAC, ABAC, MFA, RBA
- Experience with identity, authentication, or security sensitive applications
- Experience with AWS hosted UI deployments and CI/CD pipelines
- Healthcare or regulated industry experience (HIPAA, PHI)
- Hands on experience using AI coding assistants in enterprise environments
- Hands-on working experience with SailPoint, ForgeRock, Ping, Okta, OneLogin, Azure AD or similar IAM products
- Demonstrable experience in Site Reliability Engineering and DDoS mitigation techniques
- Good experience in Threat, Vulnerability & Risk management, Infrastructure security
- Knowledge of accessibility standards (WCAG 2.x)
- Solid working knowledge of Web Application Firewalls, HTTP(s), TCP/UDP, SSL/TLS, Forward and reverse proxies, Load balancers
- Familiarity with OAuth 2.0, OIDC, SAML concepts (UI integration perspective)
- Familiarity with enterprise AI governance models and secure AI adoption in regulated industries
- Proven exposure to micro frontend architectures and design systems
- Proven exposure to AI driven UX patterns (recommendations, adaptive flows, smart defaults, insights driven dashboards)
- Proven solid communication skills and presentation skills, leadership skills, problem solving and analytical skills