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JPMorgan Chase & Co.

Lead Software Engineer - iOS Developer

JPMorgan Chase & Co. · Bengaluru, Karnataka, India

Financial Services · 10,001+ employees

8 h ago
Senior (5-10 yrs) Full-time India
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About the role

The Lead Software Engineer will design, develop, and troubleshoot secure, high-quality iOS applications while driving the adoption of AI-assisted engineering practices. They will also lead technical evaluations, mentor team members, and ensure operational stability across the software development lifecycle.

What they look for

Swift UIKit SwiftUI Combine Async/await Core Data SQLite iOS Development Software Development Life Cycle Agile Methodologies CI/CD Application Resiliency Security Cloud Native AWS React JS

Requirements

Candidates must have 5+ years of applied software engineering experience with deep proficiency in Swift and enterprise-grade iOS architecture. Strong knowledge of agile methodologies, security best practices, and experience leading technical teams is required.

Full description

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 Employee Platforms 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 break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • 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.
  • 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
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

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
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • 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.
  • Deep Swift knowledge; strong experience with UIKit, SwiftUI, Combine, async/await — solid command of Cocoa patterns.Core Data / SQLite, including migration strategies and conflict resolution
  • Architecting enterprise-grade iOS apps: modularization, reusable frameworks, performance tuning at scale
  • Security as muscle memory: Keychain, certificate pinning, ATS, Secure Enclave patterns, data protection classes, hardening/obfuscation, MDM-aware design
  • Shipping enterprise apps with strong attention to memory and performance. Backend integration: APIs, OIDC auth, flaky networks, caching, offline-first sync

Preferred qualifications, capabilities, and skills

  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Good to have knowledge of AWS
  • Good to have knowledge of Frontend technologies like React JS, Angular