Senior Lead Software Engineer - Mobile Ios

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Commercial & Investment Bank

Senior Lead Software Engineer for JPMorgan Chase's Commercial Bank Technology Payment team, focusing on building and deploying native iOS mobile applications. The role involves leading a team, managing stakeholder relationships, and driving the adoption of AI-assisted engineering practices to improve code quality and delivery speed within an agile, secure, and scalable environment. Requires extensive iOS development experience and a strong understanding of responsible AI use in engineering workflows.

What you'd actually do

  1. Builds and deploys production-grade native iOS Mobile applications to solve various business use cases for the firm
  2. Provides guidance to the team of software engineers on daily tasks and activities. - sets overall guidance and expectations for team output, practices, and collaboration.
  3. Anticipates dependencies with other teams to deliver products and applications in line with business requirements.
  4. Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements.
  5. Works at the code level and manage technologists.

Skills

Required

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Extensive experience in developing large-scale iOS mobile applications ( Native Mobile Engineering ) with expert knowledge in all phases of the iOS app development life cycle
  • Hands on experience leading technologists to manage and solve complex technical items within your domain of expertise
  • Hands-on expertise in the use of Frameworks and APIs around Swift and SwiftUI. Experience in using Instruments for Profiling and Dependency Injection
  • Strong experience with Data Structures, Type Conversions, Multi-Threading. Experience with one or more Design Patterns – MVC, MVVM, and Clean Architecture
  • Enthusiasm for automated testing and experience with unit testing frameworks (e.g., XCTest)
  • 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.
  • Worked in an Agile development environment and well versed with agile ceremonies with understanding of CI/CD systems such as Xcode Server, Jenkins, or similar systems
  • Experience working with Security, API integration, distributed systems, monitoring, caching, and persistence solutions
  • Demonstrated skill and passion for operational excellence, customer-focused mindset, taking pride in creating an informative data-driven journey

Nice to have

  • Strong communication skills along with significant experience of managing stakeholders of diverse backgrounds
  • Experience with Test Driven Development
  • Experience with Combine, Networking, and in areas like accessibility, and dynamically themed user interface design preferred
  • Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives

What the JD emphasized

  • extensive experience in developing large-scale iOS mobile applications ( Native Mobile Engineering ) with expert knowledge in all phases of the iOS app development life cycle
  • 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.