Senior Mobile Engineer: Lead Native App Architecture

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Mobile Engineer 4 to lead native mobile development for Android (Kotlin) and iOS (Swift). You will collaborate with designers, product managers, and engineers to deliver high-quality features for 100M+ customers in a fast-paced Agile environment.

You’ll mentor engineers, shape mobile architecture, and drive performance, accessibility, and testing excellence while exploring SDUI/BFF architectures and AI-enhanced workflows.

Qualifications

• Bachelor's degree in Computer Science or a related quantitative field.
• At least 4 years of professional software engineering experience.
• 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, provide feedback and code reviews, share best practices.
• Grow subject matter expertise in platform areas like performance and accessibility.
• Contribute to mobile architecture decisions, API design reviews, reusable components.
• Lead client Backend-for-Frontend and Server-Driven UI architectures for scalable experiences.

Skills

Android Kotlin

iOS Swift

Education

Bachelor's degree in CS or related field

Tools

SwiftUI

Jetpack Compose

Swift Testing

XCUI

JUnit

Espresso

GraphQL

gRPC/Protobuf

CoreML

TensorFlow Lite

Job description

Capital One is seeking a Mobile Engineer 4 to lead native mobile development for Android (Kotlin) and iOS (Swift). You will collaborate with designers, product managers, and engineers to deliver high-quality features for 100M+ customers in a fast-paced Agile environment.

You’ll mentor engineers, shape mobile architecture, and drive performance, accessibility, and testing excellence while exploring SDUI/BFF architectures and AI-enhanced workflows.