Capital One
Mobile Engineer 4 (Android - Manager, IC)
$179K–$225K
McLean, VA +1 · Manager · Full-time · Posted Oct 13, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 4 years of professional software engineering experience and at least 3 years of native Android or iOS 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
- Will not sponsor a new applicant for employment authorization or provide immigration-related support for this position, including H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, O-1, or other work authorization requiring employer immigration support.
About the job
Leads hands-on Android mobile engineering, shaping architecture and delivering scalable, high-quality customer features while mentoring engineers and advancing AI-assisted development.
What you'll do
- Partner with engineering, design, and product teams to deliver mobile features and reusable components.
- Lead mobile architecture, BFF and SDUI design, engineering practices, and staged rollouts; mentor engineers.
- Make hands-on technical contributions and promote quality, performance, accessibility, and agentic AI 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
- Modern native UI frameworks, automated mobile testing, performance optimization, and scalable or modular mobile architecture.
- BFFs, GraphQL, gRPC/Protobuf, SDUI, feature flags and staged rollouts, agentic AI coding tools, or on-device ML frameworks.
Pay
$197,300 - $225,100 USD base salary (McLean, VA); $179,400 - $204,700 USD 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