Sr. Distinguished Engineer, Front End (angular)

Capital One Capital One · Banking · New York, NY

This role is for a Sr. Distinguished Engineer focused on front-end web platform architecture and development, with a specific emphasis on AI-native approaches and tooling. The engineer will define technical vision, establish standards, and drive innovation for Capital One's web ecosystem, mentoring teams and influencing engineering excellence across the organization. While AI is mentioned in the context of tooling and delivery workflows, the core craft of the role is front-end engineering and architecture, not direct AI/ML model development.

What you'd actually do

  1. Articulate and evangelize a bold technical vision for your domain
  2. Decompose complex problems into practical and operational solutions
  3. Ensure the quality of technical design and implementation
  4. Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
  5. Continue learning and injecting advanced technical knowledge into our community

Skills

Required

  • Angular
  • React
  • Enterprise architecture and design patterns
  • Software engineering and solution architecture
  • Cloud computing (AWS, Microsoft Azure, Google Cloud)
  • Web technologies (Javascript, TypeScript and SPA frameworks)
  • Full ML development lifecycle using AI and ML frameworks
  • Designing and building distributed HPC and ML systems

Nice to have

  • Computer Science or a related field
  • Java
  • Python
  • Go
  • JavaScript/TypeScript
  • Swift
  • System development lifecycle
  • Large-scale web platforms
  • Modern web frameworks (React, Angular)
  • Design systems
  • Web performance
  • Accessibility
  • Engineering standards across distributed, inner source contributor models
  • AI-native development patterns
  • agentic tooling
  • ML-assisted software delivery

What the JD emphasized

  • AI-native web delivery
  • agentic tooling
  • AI-assisted delivery workflows
  • Full ML development lifecycle using AI and ML frameworks
  • Designing and building distributed HPC and ML systems