Software Engineer III - Mobile

JPMorgan Chase & Co.•Columbus, OH

About The Position

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 JPMorgan Chase within the Consumer & Community Banking, 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 are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Requirements

Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on experience designing iOS/mobile systems end-to-end, including application development in Swift (UIKit/SwiftUI), unit/UI testing (XCTest/XCUITest), and ensuring operational stability through monitoring, crash triage, performance tuning, and production support processes.
Proven ability to develop, debug, and maintain code in a large enterprise environment using modern languages (Swift) and data/querying technologies relevant to mobile workflows (e.g., SQL fundamentals, REST/GraphQL usage and troubleshooting, log/metric querying via observability tools).
Strong working knowledge of the Software Development Life Cycle (requirements → design → implementation → testing → release → monitoring/incident response), with an emphasis on mobile release management (App Store/TestFlight, phased rollouts, feature flags).
Solid understanding of Agile delivery practices, including CI/CD for iOS (build pipelines, automated tests, code quality gates), application resiliency (graceful degradation, offline support, retries/backoff, crash-free sessions), and mobile security (secure storage/Keychain, encryption in transit/at rest where applicable, OWASP MASVS concepts, privacy and permission handling).
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.

Nice To Haves

Familiarity with modern front-end technologies and patterns that commonly interface with mobile clients (e.g., component-based UI concepts, TypeScript/React basics, webviews, design systems) and the ability to collaborate effectively with web and design teams.
Exposure to cloud technologies used by mobile ecosystems, such as API gateways, authentication/identity (OAuth2/OIDC), serverless/event-driven backends, storage/CDNs, and mobile observability/analytics platforms; comfortable diagnosing issues across client–backend boundaries.
Familiarity with Objective-C a plus

Responsibilities

Designs and delivers iOS software solutions by translating product requirements into scalable mobile architectures (e.g., MVC/MVVM/Clean), implementing features in Swift (UIKit/SwiftUI), and applying non-routine thinking to build elegant solutions and rapidly decompose complex technical issues through root-cause analysis, instrumentation, and debugging (Xcode, Instruments, crash logs).
Builds secure, production-grade iOS code by writing high-quality, maintainable components and performance-conscious algorithms that integrate reliably with backend services and device capabilities, leveraging modern iOS concurrency patterns (GCD/Combine/async/await) to coordinate synchronous/asynchronous workflows, and enforcing mobile security best practices (secure storage/Keychain, data protection, least-privilege permissions, input validation).
Produces iOS architecture and design artifacts for complex mobile applications by documenting end-to-end designs (module boundaries, data flow, navigation, state management, offline/online sync, API contracts) and maintaining accountability that design constraints (performance, accessibility, security, resilience, battery/network efficiency) are implemented and enforced in Swift code through reviews, standards, and automated checks.
Gathers, analyzes, and synthesizes mobile and platform telemetry from large, diverse datasets (crash reports, performance traces, app analytics, network logs, CI/CD signals, feature-flag metrics, customer feedback) and develops clear visualizations/reporting (dashboards, release health summaries, regression trackers) to drive continuous improvement of iOS app quality and system reliability.
Proactively uncovers hidden issues and patterns in iOS codebases and operational data (recurring crash signatures, memory leaks, ANRs/hangs, excessive network chatter, slow renders, flaky tests, dependency risk) and uses these insights to improve coding hygiene (refactoring, modularization, test coverage, linting, documentation) and evolve the app/system architecture (better layering, concurrency model, caching strategy, observability).
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.