Partners effectively with product, design, architecture, backend, security, QA, DevOps/SRE, and business stakeholders to turn ambiguous goals into mobile outcomes
Mentors mobile engineers and raises the technical standard through platform ownership, code review, architecture guidance, and hands-on implementation
You will operate with broad autonomy, lead complete mobile initiatives without requiring constant direction, influence mobile platform direction across teams, and be known as someone who ships, unblocks others, aligns stakeholders, and makes things happen.
WHAT YOU’LL DO
Build, Ship, and Own Mobile Platforms
Write production-quality mobile code regularly across iOS, Android, shared platform libraries, and mobile integration layers
Own and deliver high-impact mobile features, platform capabilities, and system improvements end-to-end
Lead modernization of legacy mobile applications, incrementally migrating toward modular, maintainable, testable, and scalable mobile architectures
Design and evolve mobile platform foundations, including app architecture, shared components, design systems, SDKs, offline capabilities, authentication flows, telemetry, and release infrastructure
Translate ambiguous business and user requirements into reliable, intuitive, and performant mobile experiences
Identify mobile technical risks early, including app performance, crash rates, app store constraints, OS fragmentation, security, privacy, offline behavior, and API reliability
Run complete project workstreams independently, including technical discovery, solution design, delivery planning, execution tracking, launch readiness, app store release coordination, and post-launch follow-through
AI-Driven Mobile Development & Intelligent Experiences
Lead the adoption of AI-driven development practices for mobile engineering, including AI-assisted design, coding, refactoring, test generation, debugging, documentation, and code review workflows
Design and implement intelligent mobile experiences that responsibly leverage LLMs, AI services, on-device intelligence, contextual assistance, automation, and personalization where appropriate
Integrate mobile applications with AI-enabled backend services, APIs, orchestration layers, and data sources
Evaluate when intelligence should run on-device, at the edge, or in cloud services based on latency, privacy, cost, reliability, and user experience
Establish guardrails for AI-assisted mobile engineering, including prompt patterns, generated-code review standards, test expectations, security review, privacy controls, and quality gates
Implement hallucination mitigation and validation strategies for AI-powered mobile features, including grounding, structured outputs, user confirmation, fallback states, and telemetry-driven evaluation
Design monitoring and feedback loops for AI-enabled mobile behavior in production
Ensure AI-enabled mobile capabilities meet security, privacy, compliance, accessibility, and user trust requirements
Mobile Technical Leadership & Architecture
Set and evolve mobile architecture standards through hands-on implementation
Guide platform decisions across native iOS, native Android, cross-platform frameworks, shared libraries, backend integration, data synchronization, security, and observability
Make principled tradeoffs between native platform depth, cross-platform reuse, delivery speed, scalability, performance, correctness, and long-term maintainability
Act as a technical escalation point for challenging mobile problems, including performance, memory, battery usage, offline-first behavior, crash stability, OS compatibility, release quality, and integration reliability
Influence technical direction across multiple teams without becoming a bottleneck
Provide full technical leadership for projects by coordinating architecture, engineering execution, dependency management, risk mitigation, mobile release planning, and cross-team alignment
Communicate clearly with product owners, UX/design, engineering leaders, backend teams, security, DevOps/SRE, QA, support, and business stakeholders to keep delivery aligned with business outcomes
AI-Assisted Mobile Engineering & Developer Productivity
Leverage AI-powered development tools such as GitHub Copilot, ChatGPT, Claude, and mobile-specific automation to accelerate high-quality delivery
Establish best practices and guardrails for safe, high-quality AI-assisted mobile coding
Use AI tools for mobile solution design, architecture analysis, refactoring, test generation, debugging, system comprehension, documentation, and release readiness
Improve developer productivity through reusable mobile components, shared architecture patterns, CI/CD automation, test automation, build optimization, and platform tooling
Help teams adopt modern mobile workflows that improve velocity while maintaining engineering rigor, security, accessibility, and release quality
Mentorship & Team Elevation
Mentor mobile engineers through pairing, code reviews, architecture reviews, and design discussions
Help senior mobile engineers grow into broader technical leadership roles
Coach engineers on modern mobile architecture, cross-platform development, AI-aware engineering practices, quality engineering, observability, and secure development
Foster a culture of continuous learning, ownership, customer empathy, and technical excellence
Lead by example with clear communication, humility, accountability, and hands-on technical contribution
Mobile Execution, Quality & Operations
Build and maintain enterprise mobile applications using modern native and/or cross-platform frameworks
Design and implement integrations with RESTful APIs, GraphQL services, event-driven workflows, identity providers, analytics platforms, and mobile backend services
Optimize mobile applications for performance, memory usage, battery life, network efficiency, offline behavior, accessibility, localization, and reliability
Partner with DevOps/SRE and QA to ensure strong mobile CI/CD pipelines, automated testing, build signing, release automation, observability, crash reporting, and safe deployments
Own release quality across TestFlight, Google Play testing tracks, App Store, and Google Play production releases
Participate fully in the SDLC: design, coding, testing, deployment, production support, incident response, and continuous improvement
REQUIRED QUALIFICATIONS
Experience
10+ years of professional software development experience, including significant hands-on mobile engineering experience
Proven experience owning and delivering large, complex mobile applications or mobile platform capabilities
Demonstrated success modernizing legacy mobile applications, mobile architectures, and mobile delivery practices
Hands-on experience building and shipping iOS and Android applications, with strong cross-platform mobile development experience
Experience applying AI-assisted development tools and AI-driven engineering practices to improve quality, speed, testing, documentation, and maintainability
History of hands-on technical leadership across teams or mobile domains
Strong track record of mentoring and developing engineers
Proven ability to lead a complete project independently, coordinate with cross-functional stakeholders, manage technical risks, and drive execution through delivery
Technical Skills
Expert-level mobile engineering experience across iOS and Android
Strong proficiency with Swift and iOS platform development, including Apple platform conventions, app lifecycle, concurrency, networking, persistence, testing, and App Store release practices
Strong proficiency with Kotlin and Android platform development, including Android architecture, Jetpack, coroutines, networking, persistence, testing, and Google Play release practices
Hands-on experience with cross-platform mobile technologies such as React Native, Flutter, Kotlin Multiplatform, .NET MAUI, or equivalent frameworks
Deep understanding of mobile architecture patterns such as MVVM, MVI, Clean Architecture, modular architecture, dependency injection, and design-system integration
Experience integrating mobile apps with RESTful APIs, GraphQL, identity providers, telemetry platforms, crash reporting, analytics, feature flags, and remote configuration
Hands-on experience with AI-assisted development tools and AI-enabled engineering workflows
Working knowledge of LLM-powered product experiences, AI service integration, prompt-driven workflows, structured outputs, validation, and responsible AI guardrails
Strong understanding of mobile security, secure storage, authentication, authorization, privacy, encryption, certificate pinning, OWASP Mobile risks, and compliance-aware engineering
Strong experience with mobile testing strategies, including unit testing, UI automation, integration testing, contract testing, snapshot testing, and regression automation
Experience with mobile CI/CD, build automation, signing, provisioning, release tracks, app store submission, observability, and production monitoring
Comfort working with cloud environments and backend integration patterns across AWS and/or Azure
Proficient with Git and modern development workflows
Strong understanding of production-quality code, performance tuning, reliability engineering, accessibility, and user-centered mobile design
NICE TO HAVE
Experience with React Native, Flutter, Kotlin Multiplatform, .NET MAUI, or other cross-platform mobile frameworks at scale
Experience building shared mobile platform libraries, SDKs, design systems, or reusable component frameworks
Experience with offline-first mobile applications, synchronization, conflict resolution, and intermittent connectivity scenarios
Experience with mobile observability, crash analytics, performance monitoring, synthetic monitoring, and SLO-driven reliability practices
Experience integrating AI-powered features into mobile applications, including on-device AI, cloud AI services, personalization, automation, or contextual assistants
Experience with regulated, security-sensitive, or compliance-driven mobile applications
Background with event streaming, messaging, or real-time data workflows
Strong background in Agile/Scrum environments
EDUCATION
Bachelor’s degree in computer science or equivalent practical experience
WHAT SUCCESS LOOKS LIKE
You are consistently delivering high-impact mobile features and platform capabilities across iOS and Android
Mobile applications are more reliable, performant, secure, observable, accessible, and easier to release
Legacy mobile systems are being systematically modernized without disrupting customers or business operations
AI-assisted engineering practices improve team velocity, code quality, test coverage, and documentation quality
AI-enabled mobile capabilities are designed responsibly, monitored effectively, and trusted in production
Teams move faster because of the mobile platform patterns, tools, automation, and examples you establish
Engineers seek you out for guidance on mobile architecture, cross-platform decisions, AI-assisted development, release quality, and production issues
Projects you lead are well-scoped, well-communicated, and delivered through effective collaboration with product, design, engineering, operations, security, QA, and business stakeholders
Code quality, mobile reliability, release confidence, and development velocity improve measurably
You are recognized as a technical leader who ships and elevates everyone around them
