Senior Lead Software Engineer - Mobile Engineering

• Builds and deploys production-grade native iOS Mobile applications to solve various business use cases for the firm
• Provides guidance to the team of software engineers on daily tasks and activities. - sets overall guidance and expectations for team output, practices, and collaboration.
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements.
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements.
• Works at the code level and manage technologists.
• 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.
• Applies advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Leverages in-depth knowledge of the financial services industry and their IT systems.
• 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.

in using Instruments for Profiling and Dependency Injection

• Strong experience with Data Structures, Type Conversions, Multi-Threading.

with one or more Design Patterns – MVC, MVVM, and Clean Architecture and 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
• 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