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Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 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.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Asset and Wealth Management Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be a core technical contributor across multiple business functions, with native Android/IOS skills.

Job responsibilities

  • Design, build, and troubleshoot native mobile solutions beyond routine approaches.
  • Deliver end-to-end features for Android apps and supporting services, contribute to iOS features and maintenance as needed.
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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.
  • Apply strong engineering practices (domain modeling, clean structure, testability, evolution).
  • Write secure, high-quality production code; review and debug others’ code and build and maintain robust Android architecture (e.g., Clean Architecture, MVVM/MVI) focused on performance and reliability.
  • Build reusable UI components/design systems; modernize legacy code where needed and integrate with back-end systems via RESTful APIs/JSON, partner with platform/API teams on scalability and security.
  • Improve operational stability by eliminating recurring issues and automating remediation.
  • Own production health: investigate crashes/ANRs/perf/auth issues and prevent recurrence and keep platforms current (OS/dependency upgrades, security patches) and support safe, low-downtime releases.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Software development experience (design, build, test, and production support), including significant native Android work.
  • Experience in Kotlin, Android SDK, Gradle (including multi-module), Coroutines/Flow, Jetpack (e.g., ViewModel/Lifecycle/Navigation/Paging), Compose (Material 3) and XML Views, DI/networking (e.g., Hilt, Retrofit/OkHttp), performance and crash/ANR analysis.
  • Working knowledge of Swift, Xcode, SwiftUI/UIKit; ability to deliver fixes/features and participate in code reviews while keeping cross-platform behavior consistent.
  • 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.
  • Experience with distributed systems and mobile networking patterns (REST/JSON).
  • Strong understanding of mobile data persistence/caching/offline patterns; familiarity with SQL/NoSQL through service layers.
  • Strong fundamentals in mobile security, secure storage (Keystore/Keychain), encryption in transit, certificate pinning, biometrics/modern auth, minimizing sensitive-data exposure.
  • Experience in logging, monitoring, analytics, crash reporting, performance analysis with observability/production readiness
  • Experience in CI/CD and automated testing (e.g., JUnit/Espresso/Compose UI; XCTest) with Agile/Scrum experience and strong SDLC discipline.

Preferred qualifications, capabilities, and skills

  • Regulated-domain experience (banking/financial services) and security-sensitive mobile products.
  • Stronger iOS depth (Combine, Swift Concurrency, SPM, Instruments).
  • Passkeys/FIDO, mobile app hardening/runtime protection.
  • Modern release practices (feature flags, staged rollouts; Play Store/App Store processes).
  • End-to-end mobile test automation, push notifications, and familiarity with code quality/security scanning tools.
  • Cloud/observability exposure (e.g., AWS); AWS certification a plus.
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