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# Sr. Principal Mobile Software Architect

- **Company:** Real Staffing
- **Location:** Twin Cities, MN, United States
- **Experience:** Expert
- **Salary:** $215,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Android Software Development, Apple IOS, Bluetooth Low Energy (Bluetooth), Code Review, Communications Protocols, Cyber Security, Computer Engineering, Electronic Data Interchange (EDI), Firmware, Mobile Application Software, Software Engineering, Systems Integration, Strategies of Testing, AI Coding Agents, Backend, Information Technology, Data Management
- **Published:** November 3, 2026
- **Apply:** https://www.realstaffing.com/en-gb/job/sr-principal-mobile-software-architect/4080992

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related technical field.
 * 10+ years of professional software development experience.
 * 6+ years of experience building mobile applications and platforms.
 * Strong expertise in iOS or Android development, with at least some experience across both ecosystems.
 * Demonstrated experience architecting and delivering complex mobile software products from concept through release.
 * Experience integrating mobile software with connected devices, embedded systems, or hardware-enabled products.
 * Strong communication skills with the ability to influence technical decisions across teams and stakeholders.
 * Proven leadership in architecture, mentoring, and engineering best practices., * Experience in regulated industries such as medical devices, healthcare, life sciences, aerospace, automotive, or other safety-critical domains.
 * Background in Bluetooth Low Energy (BLE), wireless connectivity, or device communication protocols.
 * Experience with cybersecurity, secure application design, threat modeling, or software risk management.
 * Familiarity with AI-assisted development tools and modern software engineering practices.
 * Experience with mobile observability, analytics, monitoring, and diagnostics.
 * Advanced degree in a related technical discipline.

## Description

Mobile Architecture & Technical Leadership

 * Define and evolve the long-term architecture strategy for mobile software platforms.
 * Establish scalable frameworks supporting multiple products, device generations, and future technology integrations.
 * Lead architectural reviews and technical decision-making across mobile, cloud, embedded, quality, systems, and product teams.
 * Develop standards for software design, maintainability, security, and engineering excellence.
 * Evaluate emerging technologies, platform changes, and industry trends to guide modernization efforts.
 * Create and maintain technical architecture documentation for regulated development environments.
 * Mentor senior engineers and influence engineering best practices across the organization.

Connected Device & Platform Integration

 * Architect communication layers between mobile applications and connected hardware devices.
 * Define strategies for connectivity, synchronization, data management, and reliability across mobile ecosystems.
 * Collaborate with firmware and backend teams to establish robust interfaces, protocols, and data exchange models.
 * Drive solutions that support multiple operating systems, device types, and usage scenarios.

Software Development & Delivery

 * Contribute hands-on development in critical application areas.
 * Build proofs of concept and reference implementations to validate architectural approaches.
 * Lead complex troubleshooting efforts involving performance, connectivity, reliability, or platform-specific issues.
 * Support code reviews, design reviews, testing strategies, and delivery processes.
 * Champion automation, quality engineering, and continuous improvement initiatives.

AI-Enabled Engineering

 * Promote practical adoption of AI-assisted software development practices.
 * Introduce reusable workflows and tooling that improve engineering efficiency and quality.
 * Establish governance and review practices around AI-generated outputs.
 * Evaluate emerging AI capabilities and recommend technologies that provide measurable business value.
 * Mentor teams on responsible and effective use of AI throughout the software lifecycle.