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Lead Software Engineer

Job in Plano, Collin County, Texas, 75086, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-10-03
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer, DevOps
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

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 JPMorgan

Chase within the Consumer & Community Banking – Consumer & Community Banking Administration, 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
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

  • Develops secure and high-quality production code, and reviews and debugs code written by others

  • 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 in Software Engineering and 5+ years applied experience

  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

  • Combined software/application development experience, with a focus on mobile development

  • Experience providing technical leadership and mentoring diverse engineering teams building native mobile applications

  • Strong Android development experience, including building mobile applications using Kotlin

  • Working knowledge of common architectural patterns, including MVVM, MVP, and MVC

  • Experience with modern native mobile development tools and frameworks, including Git, Xcode, Cocoa Pods, Swift Package Manager, Core Data, Android Studio, Robolectric, Mockito, Espresso, RxJava, Dagger, and Retrofit

  • Experience building and maintaining CI/CD pipelines;
    Experience working in Agile development environments, including daily scrums and iteration reviews/planning

  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills
  • Familiarity with mobile performance optimization, device-based testing, and common mobile platform constraints

  • Working knowledge of multiple programming languages, such as Swift,Kotlin,Objective-C,Java,C++,JavaScript,Ruby, and Python

  • Experience with Gitsource control management

  • Experience consuming and integratingRESTful web services in mobile applications

  • Strong communication skills, with the ability to clarify application requirements with business partners via phone/email in addition to technical documentation

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