Capital One
Android Mobile Engineer 4 (Manager, IC)
$215K–$246K
New York, NY · Manager · Full-time · Posted Sep 28, 2026
- Experience
- At least 4 years of professional software engineering experience and at least 3 years building native mobile applications for Android (Kotlin) or iOS (Swift).
- 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, including H-1B, 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 architecture and development while providing technical direction and mentoring to build high-quality mobile experiences for Capital One customers.
What you'll do
- Lead Android architecture, design, implementation, and reusable component development; contribute to API design reviews.
- Provide technical leadership and mentorship, and establish engineering practices for quality, performance, accessibility, feature flags, and staged rollouts.
- Champion agentic AI tools and AI-native development practices to improve team velocity.
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; 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 Jetpack Compose, mobile automated testing, performance optimization, scalable architectures, modular design, Server-Driven UI, feature flags, and staged rollouts.
- Expertise with agentic AI coding tools and AI-assisted workflow patterns; familiarity with on-device ML frameworks such as CoreML or TensorFlow Lite.
Pay
USD $215,200 - $245,600 base salary
Tools
Android, Kotlin, iOS, Swift, Jetpack Compose, JUnit, Espresso, TensorFlow Lite
AI focus
Champion adoption of agentic AI tools and mentor engineers in AI-native development practices; preferred expertise includes agentic AI coding tools and AI-assisted workflow patterns.
Model-written summary · the original posting is authoritative