Lead Software Engineer - iOS Developer

JPMorganChase; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

JPMorganChase Bengaluru seeks an experienced iOS engineer to design and deliver secure, scalable mobile applications. You will work with UIKit, SwiftUI, Combine and Core Data to build enterprise-grade apps, while applying AI-assisted development practices and robust testing.

The role emphasizes secure coding, architectural governance, and collaboration with vendors and internal teams to drive innovation in financial services software.

Qualifications

• 5+ years of software engineering experience and formal training.
• Experience delivering system design, app development, testing, and operations.
• Proficient in SDLC and agile practices including CI/CD and security.
• Experience with AI-assisted development tools and responsible AI practices.
• Strong Swift expertise in UIKit, SwiftUI, Combine, async/await, Core Data and SQLite.
• Experience architecting enterprise iOS apps with modular design and performance tuning.
• Expertise in security patterns: Keychain, ATS, Secure Enclave, data protection.
• Backend integration with APIs and OIDC, plus handling flaky networks and offline sync.

Responsibilities

• Executes creative software solutions and troubleshoots complex issues.
• Develops high-quality production code and reviews peers.
• Leads AI-assisted engineering practices adoption and governance.
• Promotes secure coding, automated testing, and reusable patterns.
• Participates in architecture evaluations with vendors and internal teams.

Skills

Swift

UIKit

SwiftUI

Combine

async/await

Core Data

SQLite

iOS Architecture

Keychain

Certificate Pinning

Secure Enclave

APIs

OIDC

Cloud-native

React

Angular

Tools

CI/CD

AI-assisted tools

Security testing

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

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

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