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Salary
≈ $168k – $340k per year (Estimated)
Location
In office (Columbus)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 3,429 · for this role: 1,686 · green card filings: 933

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 13, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Mobile Authentication team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
  • Design and build secure, production-grade mobile solutions, making key decisions on architecture, functionality, and operations
  • Develop and maintain iOS applications using Swift, SwiftUI, and Objective-C
  • Develop and maintain Android applications using Java and Kotlin
  • Review, debug, and improve code written by self and others to ensure quality and maintainability
  • Optimize and validate performance across devices (iPhone, iPad, Apple Watch, and Android) and form factors
  • Deliver complex front-end implementations for large-scale mobile applications, including automated testing
  • Partner with UX/design teams to prototype and implement features that enhance user experience
  • Drive reliability, scalability, and delivery excellence by applying Agile practices (Scrum/Continuous Delivery) and supporting SRE practices

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in at least one mobile-relevant programming language
  • Strong knowledge of iOS (Swift/Objective-C, UIKit/Cocoa) and/or Android (Java/Kotlin) frameworks
  • Experience integrating native device capabilities (Camera, Push Notifications, GPS, CoreML, VisionKit)
  • Understanding of mobile security (device registration, biometrics, encryption, data protection)
  • Experience with API integration and mobile tooling (e.g., Xcode) plus auth standards (OAuth/SSO)
  • Proven delivery of apps via App Store/enterprise distribution using CI/CD; strong Git/source control and Agile practices
  • Mobile Native Application and Mobile Browser Testing via devices and simulators in both iOS and Android platform
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls

Preferred qualifications, capabilities, and skills

  • Experience with iOS architectural/design patterns (e.g., MVVM, MVC, MVP, VIPER)

  • Familiarity with build automation tools and frameworks for static and dynamic analysis
  • Ability to assess technology risks, perform threat modeling, and communicate risk to stakeholders
  • Experience building relationships with cross-functional teams, including technology, business, audit, and risk partners
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