Mobile Engineer

Capital One

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

Posted 9/24/2026full-timeWilmington • Virginia • United StatesMid-LevelSenior💰 $179,400 - $225,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in mobile architecture, design patterns, and performance optimization, with a strong focus on building native mobile applications for Android and iOS. Proven ability to lead technical initiatives, mentor engineers, and implement best practices in automated testing and AI-assisted development.

Highest-signal resume keywords

Mobile Application DevelopmentKotlin ProgrammingSwift ProgrammingAutomated Testing Suite DesignBackend-for-Frontends (BFF) Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Mobile Architecture DesignPerformance TuningReusable Component DevelopmentModern UI FrameworksModular ArchitectureFeature Flag ImplementationServer-Driven UI (SDUI)Agentic AI ToolsOn-Device ML FrameworksMetrics-Driven Rollout Strategies

Soft Skills

Technical LeadershipMentoringCollaborationProblem SolvingCustomer Empathy

Tools & Technologies

GraphQLGRPCProtobufSwiftUIJetpack ComposeSwift TestingXCUIJUnitEspressoTensorFlow Lite

Certifications & Qualifications

Bachelor's Degree in Computer ScienceDegree in Related Quantitative Field

Industry Keywords

Mobile EcosystemNative Mobile ApplicationsAI-Native DevelopmentAccessibility StandardsQuality Standards

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
Grow and provide subject matter expertise in performance, accessibility, and architecture
Contribute to mobile architecture decisions, API design reviews, and reusable component development
Lead the design and development of client Backend-for-Frontends (BFFs) and Server-Driven UI (SDUI) architectures
Lead implementation and refinement of engineering practices, including feature flags and staged rollouts
Champion adoption of agentic AI tools and mentor engineers in AI-native development practices
Apply advanced mobile ecosystem expertise to hands-on technical contributions
Drive quality, performance, accessibility, customer empathy, coding, testing, and user experience standards

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)
Proven experience building native mobile applications for Android (Kotlin) or iOS (Swift)
Demonstrated experience with modern native UI frameworks (e.g., SwiftUI, Jetpack Compose)
Demonstrated experience designing and building automated testing suites for mobile (e.g., Swift Testing, XCUI, JUnit, Espresso)
Proven experience with performance tuning and optimization on native mobile platforms
Demonstrated experience designing scalable mobile architectures and reusable component libraries
Experience implementing and maintaining comprehensive automated testing
Demonstrated experience with modular architecture and modern state management patterns
Demonstrated experience designing and developing client Backend-for-Frontends (BFFs) using technologies like GraphQL and efficient networking protocols (e.g., gRPC/Protobuf)
Demonstrated experience with Server-Driven UI (SDUI) architectures
Demonstrated experience in metrics-driven staged rollout and feature flag strategies
Expertise with agentic AI coding tools and AI-assisted workflow patterns
Familiarity with on-device ML frameworks (e.g., CoreML, TensorFlow Lite)
Applicants must not require new employment authorization sponsorship or immigration-related support

Benefits

Comp & perks

Top-of-the-line MacBook Pros
Multiple high-end monitors
Necessary tooling to develop products
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 who require them