Drimva

Capital One

Mobile Engineer 4

$179K–$225K

Wilmington, DE +1 · Full-time · Posted Sep 24, 2026

Location
Wilmington, DE
McLean, VA
Experience
At least 4 years of professional software engineering experience and at least 3 years building native Android or iOS applications.
Education
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
Visa sponsorship
Will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.

About the job

Leads hands-on development of native mobile experiences and mobile architecture, including scalable BFF and SDUI designs, while mentoring engineers and promoting quality and AI-assisted practices.

What you'll do

  • Lead mobile architecture, design, development, and reusable component work; contribute to API design reviews.
  • Mentor engineers and establish engineering practices for quality, accessibility, performance, feature flags, and staged rollouts.
  • Lead client BFF and SDUI architecture and champion agentic AI tools and AI-native development practices.

What they ask for

  • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
  • At least 4 years of professional software engineering experience (internship experience does not apply).
  • At least 3 years of experience building native mobile applications for Android (Kotlin) or iOS (Swift).

Nice to have

  • Experience with modern native UI frameworks, mobile automated testing, performance optimization, scalable or modular architecture, BFF/SDUI, staged rollouts, and agentic AI coding tools.
  • Familiarity with on-device ML frameworks (e.g., CoreML, TensorFlow Lite).

Pay

$197,300 - $225,100 USD base salary (McLean, VA); $179,400 - $204,700 USD base salary (Wilmington, DE)

Tools

Kotlin, Swift, SwiftUI, Jetpack Compose, Swift Testing, XCUI, JUnit, Espresso

AI focus

Champion adoption of agentic AI tools and mentor engineers in AI-native development practices to increase team velocity; expertise with agentic AI coding tools is preferred.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)