





Tier-1 employer and metro location increase competition, but seniority and niche regulated mobile expertise limit applicant pool.
Highly domain-specific: regulated healthcare mobile experience and SSDLC focus limits cross-industry transferability.
Explicit 17+ years, regulated healthcare and mobile leadership requirements make hiring filters stringent.
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Lead and manage multiple software engineering functions including Development and Test to deliver high-quality mobile and connected health software products in a regulated environment.
Drive technical strategy, execution, product quality, compliance, and predictable delivery, collaborating with cross-functional teams including architects, product management, quality, and regulatory.
Own people leadership responsibilities including team building, coaching, mentoring, talent management, and fostering engineering excellence through Agile, DevOps, CI/CD, and quality metrics across mobile health programs.
17+ years of software engineering experience including significant leadership of mobile, connected, or digital health software teams.
Degree required: B.E./B.Tech./M.E./M.Tech. in Computer Science, Electronics, Electrical Engineering, Software Engineering, or related field.
Proven experience delivering mobile applications for iOS, Android, and hybrid platforms with deep knowledge of native technologies (Swift, Objective-C, Kotlin, Java) and hybrid frameworks (Flutter, React Native, .NET MAUI).
Experience delivering software in regulated environments (medical devices, healthcare) with compliance knowledge of FDA, ISO 13485, IEC 62304, ISO 14971, HIPAA, GDPR or similar standards.
Senior engineering leader with demonstrated ability to manage cross-functional teams including Development and Test in Agile, regulated, and quality-driven environments.
Strong technical background in mobile application architecture, security, connected healthcare solutions, and software delivery lifecycle management including app store release processes.
Experience collaborating effectively with multidisciplinary stakeholders, balancing competing priorities, and driving continuous improvements via data-driven decision-making.