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JPMorganChase

Lead Software Engineer — Mobile (Android)

Posted An Hour Ago
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Hybrid
Hyderabad, Telangana
Senior level
Hybrid
Hyderabad, Telangana
Senior level
Lead design and delivery of Android features using Kotlin/Java; set standards for security, performance, accessibility, and production readiness; drive CI/CD and test automation; mentor engineers; integrate with backend services; adopt enterprise AI-assisted tools with rigorous validation.
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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 
As a Lead Software Engineer at JPMorganChase within the CONSUMER & COMMUNITY BANKING, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. 
Job responsibilities

  • Lead the design and delivery of Android features using Kotlin/Java, driving consistent architecture patterns and reusable components across the app.
  • Set and enforce standards for security, performance, accessibility, stability, and production readiness (telemetry/monitoring, incident prevention).
  • Drive CI/CD for Android (build automation, unit/instrumentation/UI tests, static analysis, signing and release workflows) and improve developer productivity.
  • Partner with Product, Design, Backend, and QA to deliver end-to-end solutions; manage technical dependencies and provide clear technical direction and estimates.
  • Use JPMorganChase-approved AI-assisted development tools (e.g., Claude AI where approved) to accelerate development/change work (refactoring, test generation, documentation) with rigorous human validation.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience  
  • Strong hands-on Android experience with Kotlin, Android SDK, and modern architecture (e.g., MVVM/Clean Architecture), with ability to lead design and code reviews.
  • Experience building UI with Jetpack Compose and/or XML, including accessibility and responsive layout practices.
  • Experience integrating with backend services (REST/GraphQL), authentication flows, secure storage, and robust error/offline handling.
  • Proven experience improving CI/CD and test automation for mobile (quality gates, release readiness, stable pipelines).
  • Demonstrated technical leadership (mentoring, driving standards, owning outcomes) and disciplined use of AI coding assistants (Claude AI or equivalent where approved) with verification.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • In-depth knowledge of the financial services industry and their IT systems


Preferred qualifications, capabilities, and skills 

  • Experience scaling Android apps via modularization, shared libraries, and patterns for multi-team development.
  • Experience with performance and stability tooling (profiling startup time, memory, ANR/crash analytics, observability).
  • Familiarity with mobile security best practices (OWASP MASVS awareness, secure networking, secrets handling, certificate pinning where applicable).
  • Experience with release strategies (feature flags, phased rollouts), operational runbooks, and production support practices.
  • Track record of measurable improvements (delivery lead time, crash-free sessions, defect escape, flaky test reduction).

 


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