Remote Android Engineer – Lead High-Impact Mobile Apps

Capital One; United States; Remote; USD 108,000 - 179,000; Full time

Job summary

Capital One is seeking a Mobile Engineer 4 - Android to join its Remote-Eligible team. The role focuses on delivering high-performing features for 100M+ customers, leading mobile architecture decisions, and mentoring engineers.

You’ll work in an Agile environment with native Android (Kotlin) and iOS (Swift) platforms, plus modern UI frameworks like SwiftUI and Jetpack Compose. The position emphasizes technical leadership, scalable mobile architectures, automated testing, and SDUI/BFF patterns.

Qualifications

• 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)

Responsibilities

• Partner with software engineers, designers, and product managers to deliver high-performing, quality features for 100M+ customers.
• Provide technical leadership for mobile architecture and design patterns.
• Mentor other engineers, fostering growth through feedback, code reviews, and platform-specific best practices.

Skills

Kotlin

Swift

UI frameworks

Testing frameworks

Architecture design

Mentoring

Leadership

Education

Bachelor's degree in Computer Science or related field

Tools

GraphQL

Protobuf

SwiftUI

Jetpack Compose

Job description

Capital One is seeking a Mobile Engineer 4 - Android to join its Remote-Eligible team. The role focuses on delivering high-performing features for 100M+ customers, leading mobile architecture decisions, and mentoring engineers.

You’ll work in an Agile environment with native Android (Kotlin) and iOS (Swift) platforms, plus modern UI frameworks like SwiftUI and Jetpack Compose. The position emphasizes technical leadership, scalable mobile architectures, automated testing, and SDUI/BFF patterns.