Distinguished Front End Engineer (Angular React)
$269,100–$307,200 year
On-siteNew York City, New York, United States or Richmond, Virginia, United States
Job Summary
Articulate and evangelize a bold technical vision for Capital One's web platform domain, spanning authenticated servicing, marketing, and design system capabilities. Decompose complex problems into practical solutions while establishing AI-native development standards and practices for large-scale platform integrations and migrations. Serve as an authoritative expert on non-functional system characteristics, ensuring quality in technical design and implementation across hundreds of contributing engineers. Lead architectural decisions to drive measurable improvements in developer experience and platform NPS, balancing multiple projects to maximize impact. Mentor internal talent and coach the engineering community to strengthen technical expertise, acting as a trusted advisor for key technologies and platforms.
Required Qualifications
- Bachelor's Degree
- At least 7 years of experience in Enterprise architecture and design patterns on front end technologies, Angular or React
- At least 7 years of Software engineering
- At least 5 years of experience in Cloud computing
Desired Qualifications
- Bachelor's or Master's Degree in Computer Science or a related field
- 10+ years of experience in software engineering and solution architecture
- 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript or TypeScript, Swift, etc.
- 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support
- Experience leading technical strategy for large-scale web platforms serving millions of users
- Deep expertise in modern web frameworks (React, Angular), design systems, web performance, and accessibility
- Experience defining and driving engineering standards across distributed, inner source contributor models
- Familiarity with AI-native development patterns, agentic tooling, or ML-assisted software delivery
- Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
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