Capital One
Mobile Engineer 4 (iOS)
$179K–$225K
McLean, VA +1 · Full-time · Posted Oct 14, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 4 years of professional software engineering experience and at least 3 years of native mobile application development; preferred: 4+ years of native mobile application development.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Leads hands-on development of native iOS features and mobile architectures, while mentoring engineers and advancing quality, delivery practices, and AI-assisted development.
What you'll do
- Partner with engineering, design, and product teams to build high-performing mobile features and provide technical leadership and mentorship.
- Lead mobile architecture, including client BFFs, SDUI, API design, reusable components, feature flags, and staged rollouts.
- Champion quality, performance, accessibility, and adoption of 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.
- At least 4 years of professional software engineering experience; internships do not count.
- At least 3 years building native mobile applications for Android (Kotlin) or iOS (Swift).
Nice to have
- Experience with modern native UI frameworks, mobile testing, performance optimization, and scalable or modular mobile architectures.
- Experience with BFFs, GraphQL, gRPC/Protobuf, SDUI, rollout and feature flag strategies, agentic AI coding tools, or on-device ML frameworks.
Pay
USD $197,300 - $225,100 base salary (McLean, VA); USD $179,400 - $204,700 base salary (Richmond, VA)
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; expertise with agentic AI coding tools and AI-assisted workflows is preferred.
Model-written summary · the original posting is authoritative