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Capital One

Mobile Engineer 4 – Android, Manager, IC

Capital One

. Partner with software engineers, designers, and product managers to deliver high-performing, quality features for 100M+ customers .

Posted 10/13/2026full-timeMcLean • Virginia • United StatesMid-LevelSenior💰 $179,400 - $225,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in mobile application development for Android and iOS, with a strong focus on architecture, performance, and user experience. Proven ability to lead technical initiatives, mentor engineers, and implement modern development practices including AI tools and automated testing.

Highest-signal resume keywords
Mobile Application DevelopmentTechnical LeadershipPerformance OptimizationAutomated TestingArchitecture Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
KotlinSwiftSwiftUIJetpack ComposeGraphQLGRPC/ProtobufCoreMLTensorFlow LiteXCUIJUnit
Soft Skills
MentoringCollaborationProblem-Solving
Tools & Technologies
Agentic AI ToolsFeature FlagsStaged Rollouts
Certifications & Qualifications
Bachelor's Degree in Computer Science or Related Field
Industry Keywords
Mobile ArchitectureServer-Driven UIReusable Component LibrariesModular ArchitectureState Management Patterns

Tech Stack

Tools & technologies
AndroidGraphQLGRPCiOSJUnitKotlinSwiftTensorflow

About the role

Key responsibilities & impact
  • 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 engineers through feedback, code reviews, and platform-specific best practices
  • Identify and clear technical obstacles
  • Provide subject matter expertise in performance, accessibility, and architecture
  • Contribute to mobile architecture decisions, API design reviews, and reusable component development
  • Lead design and development of client Backend-for-Frontends (BFFs) and Server-Driven UI (SDUI) architectures
  • Lead engineering practices for feature flags and staged rollouts
  • Champion adoption of agentic AI tools and AI-native development practices
  • Make hands-on technical contributions using advanced mobile ecosystem capabilities and UI patterns
  • Establish high standards for coding, testing, performance, accessibility, and user experience

Requirements

What you’ll need
  • 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)
  • No employer-sponsored immigration or work-authorization support available for new applicants
  • Preferred: 4+ years of experience building native mobile applications for Android (Kotlin) or iOS (Swift)
  • Preferred: Experience with modern native UI frameworks such as SwiftUI or Jetpack Compose
  • Preferred: Experience designing and building automated mobile testing suites using Swift Testing, XCUI, JUnit, or Espresso
  • Preferred: Experience with performance tuning and optimization on native mobile platforms
  • Preferred: Experience designing scalable mobile architectures and reusable component libraries
  • Preferred: Experience implementing and maintaining comprehensive automated testing
  • Preferred: Experience with modular architecture and modern state management patterns
  • Preferred: Experience designing and developing client BFFs using technologies such as GraphQL and gRPC/Protobuf
  • Preferred: Experience with Server-Driven UI architectures
  • Preferred: Experience with metrics-driven staged rollout and feature flag strategies
  • Preferred: Expertise with agentic AI coding tools and AI-assisted workflow patterns
  • Preferred: Familiarity with on-device ML frameworks such as CoreML or TensorFlow Lite

Benefits

Comp & perks
  • Top-of-the-line MacBook Pros
  • Multiple high-end monitors
  • Necessary tooling for development
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
  • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
  • Reasonable accommodations for applicants with disabilities