Principal Engineer

. Frontend Architecture & Technical Leadership

• Define and own the frontend architecture for large-scale applications, ensuring performance, security, and maintainability.
• Enforce best practices in Angular, TypeScript, and state management (NgRx or similar).
• Establish UI/UX development standards, accessibility guidelines, and performance optimization strategies.
• Ensure high-quality frontend code by driving code reviews, CI/CD, and influence test automation.
• Driving Product Recovery & Performance Improvement
• Assess and turn around struggling frontend products by identifying key technical bottlenecks and implementing scalable solutions.
• Improve frontend application performance, optimizing rendering, API calls, and bundle sizes.
• Work closely with design and product teams to modernize UI/UX while ensuring minimal disruption to users.
• Address technical debt by systematically refactoring and modernizing legacy frontend codebases.
• Engineering Excellence & Hands-on Development
• Lead the development of complex, reusable UI components and frameworks.
• Set the bar for high-quality, maintainable, and well-documented code.
• Influence test automation, including unit testing, end-to-end testing, and visual regression testing.
• Foster a strong DevOps culture, ensuring seamless deployment of frontend changes.
• Mentorship & Cross-Team Collaboration
• Mentor senior frontend engineers and architects, fostering a culture of technical growth.
• Partner with backend, product, and UX teams to ensure a cohesive, performant user experience.
• Influence technical decision-making across engineering leadership.

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  AI-Driven Development & Tooling
• Lead the adoption and effective usage of AI-assisted software development tools (e.g., GitHub Copilot, Amazon Q Developer, Sourcegraph Cody) to accelerate engineering productivity.
• Evaluate, pilot, and roll out AI tools and platforms across development teams, integrating them into day-to-day workflows and CI/CD pipelines.
• Define and implement guidance and best practices for using generative AI in secure, compliant, and performance-conscious ways.
• Collaborate with engineering leaders and platform teams to measure impact, gather feedback, and continuously improve AI adoption strategy.
• Stay current with the evolving AI landscape and assess the applicability of new tools to improve developer experience, code quality, and delivery velocity.

Technical Expertise:

• Expert-level proficiency in Angular, TypeScript, RxJS, HTML, and CSS.
• Strong experience with performance optimization, lazy loading, and state management.
• Deep understanding of RESTful APIs, GraphQL, and WebSockets.
• Experience with frontend DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes is a plus).
• Strong knowledge of web accessibility (WCAG), security best practices, and cross-browser compatibility.
• Experience driving AI-assisted engineering transformation, with hands-on use and rollout of tools like Copilot, Amazon Q, or similar platforms

Soft Skills & Leadership:

• Ability to diagnose and turn around troubled frontend projects.
• Proven track record of influencing engineering direction at an organizational level.
• Strong mentorship and communication skills to elevate engineering teams.
• Experience working with senior leadership and cross-functional teams to align technical strategy with business goals.