Staff Software Engineer, Mobile (Remote - US) - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Software Engineer, Mobile in United States.

We are seeking an experienced Staff Software Engineer specializing in mobile applications to lead the development of next-generation iOS solutions. In this role, you will architect scalable frameworks, integrate hybrid technologies, and drive performance optimizations for applications used by thousands of field professionals. You will collaborate with cross-functional teams, mentor engineers, and leverage AI-assisted development tools to accelerate workflows and maintain high-quality standards. This position offers the opportunity to influence technical direction, shape mobile architecture, and deliver impactful solutions in a fast-paced, innovative environment.

Accountabilities

• Lead the development of high-performance native iOS applications using Swift.
• Architect and design scalable mobile frameworks and features that serve thousands of users daily.
• Integrate hybrid frameworks (React Native, Flutter, Capacitor) with native applications while optimizing performance and user experience.
• Collaborate with product managers, designers, and backend engineers to deliver business-impacting solutions.
• Leverage AI tools (LLMs, GitHub Copilot, Google Gemini, Cursor, Windsurf) to enhance development speed, code quality, and app performance.
• Mentor and guide engineers, fostering a culture of technical excellence and continuous learning.
• Implement best practices in code quality, architecture, performance optimization, and shared state management (TCA).

• Bachelor’s degree in Computer Science or a related field (or equivalent practical experience).
• 10+ years of mobile application development experience, with a strong focus on iOS.
• Expert proficiency in Swift and experience with SwiftUI.
• Proven experience in architecting and designing scalable mobile applications or frameworks.
• Strong hands-on experience with GraphQL and hybrid frameworks integration.
• Knowledge of TCA, MVI architecture patterns, and CI/CD pipelines (Bitrise, GitHub Actions).
• Excellent communication, problem-solving, and mentorship skills.
• Preferred: Master’s or PhD, technical leadership experience, experience with AI-assisted development tools, and automated testing.

• Competitive compensation range: $183,400 – $245,400 USD (plus annual bonus, equity, and holistic benefits).
• Fully remote work within the United States with flexible schedules.
• Opportunities for mentorship, professional growth, and career development.
• Access to modern AI-assisted development tools and best-in-class mobile practices.
• Comprehensive health and wellness benefits, including medical, dental, vision, and telehealth options.
• Parental leave, fertility services, adoption support, and other family-oriented benefits.
• Inclusive, collaborative culture celebrating diversity, learning, and innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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