Sr Principal Software Engineer - Generative AI & Mobile Platforms

InfoVision Inc.; Dallas (TX); On-site; USD 210,000 - 270,000; Full time

Job summary

InfoVision Inc. is seeking a Senior Principal Software Engineer to architect and lead the Mobile App Renovation Strategy (MARS).

You will guide AI-first software development, drive platform modernization, and supervise cross-functional teams spanning mobile and server-side systems. The role requires deep native mobile experience (Android/iOS), server orchestration, and proven leadership of large engineering groups.

Qualifications

• 10+ years software engineering with leadership in principal roles.
• Experience modernizing mobile platforms and AI-first SDLC.
• Hands-on GenAI, LLM prompts and code-generation tooling.
• Proven ability to align large engineering teams on architecture.

Responsibilities

• Define and drive the architectural vision for MARS platform.
• Lead cross-functional teams across mobile, backend, and AI initiatives.
• Champion AI-first software development and SDLC improvements.

Skills

Technical leadership

AI/GenAI experience

Kotlin Multiplatform

Mobile development

Distributed systems

GraphQL

Code generation tools

Tools

Spring Boot 3.5

GraphQL Federation

Netflix DGS

Java 21

REST APIs

JUnit/XCTest

Job description

Job Title : Sr Principal Software Engineer - Generative AI & Mobile Platforms

Duration 12 months

Position Purpose:

As a Senior Principal Engineer, you will serve as the chief technical architect and visionary leader for our Mobile App Renovation Strategy (MARS). You will define the future of our high-performance, modular, and intelligent mobile ecosystem. This role demands a world-class engineer who is deeply technical, possesses an extensive background in native mobile development and server-side orchestration, and can champion innovative AI-first software development. You will report directly to senior technology leadership and lead cross-functional feature and platform teams to build our next-generation architecture. We are seeking a visionary leader who will not only build the platform but will also aggressively drive AI-first software development. You will establish, steer, and inspire our AI Tiger Team and directly influence how engineering teams utilize artificial intelligence throughout the software development lifecycle (SDLC).

Preferred Qualifications:

• 10+ years of software engineering experience, with at least 4+ years leading architecture in a Principal or Senior Principal capacity for a major consumer-facing mobile application.
• Transformation Track Record: Proven track record of executing a major technology renovation or modernization strategy (preferably containing SDUI, KMP, and GraphQL BFF elements).
• Distributed Systems Mastery: Expert knowledge of microservices, server-side GraphQL patterns, and high-performance, multi-layered JVM in-memory caching.
• AI Expertise: Practical, hands-on experience using GenAI APIs, LLM prompt engineering, and code-generation tools/agents to accelerate development.
• Leadership & Influence: Outstanding communication and presentation skills, with a proven history of writing technical white papers, presenting architecture to executive leadership, and driving technical alignment across large engineering organizations (50+ engineers).
• Kotlin Multiplatform (KMP): Architecting shared business logic layers.
• Server-Driven UI (SDUI): Designing extensible layout engines to dynamicize screen rendering.
• Native Platforms: Proficient in Android (Kotlin, Jetpack Compose) and iOS (Swift, UIKit, SwiftUI).
• GraphQL & Federation: GraphQL (Netflix DGS) and GraphQL Federation layers.
• Backend Stacks: Spring Boot 3.5, Java 21, REST APIs, and microservices integrated with core services like SearchNav, ProductGateway, and TypeAhead
• Automated unit and integration testing using JUnit 5, XCTest, MockK, Espresso, and XCUITest.
• Visual regression testing with Paparazzi and Shot.
• Mobile-specific delivery pipelines including Bitrise, Fastlane, TestFlight, and Firebase App Distribution.
• Automated security practices including Static (SAST) and Dynamic (DAST) Application Security Testing.
• Performance instrumentation using New Relic, GCP Cloud Monitoring, Prometheus, and distributed tracing spanning hybrid mobile-to-backend journeys.