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Staff/Principal Mobile Engineer

TechDoQuest United State
Remote
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AI Summary

Lead mobile engineering initiatives for a remote-first organization, focusing on iOS and Android architecture and performance optimization. Drive cross-team technical decisions, define AI-driven SDLC standards, and mentor senior engineers to elevate engineering quality. Requires 12+ years of software engineering experience with significant tenure at Staff/Principal level and expertise in distributed systems.

Key Highlights
12+ years of software engineering experience with significant tenure at Staff/Principal level
Expertise in Swift/iOS, Kotlin/Android, and mobile architecture patterns
Hands-on experience with AI-assisted development tools and distributed systems design
Key Responsibilities
Drive cross-team technical decisions, platform direction, and multi-team initiatives
Define and scale AI-driven SDLC standards, including tools, guardrails, and automation patterns
Design and evolve large-scale distributed systems including APIs, data pipelines, and event-driven systems
Elevate engineering quality through code reviews, architecture reviews, and mentoring senior engineers
Collaborate across product, data, security, and infrastructure teams
Technical Skills Required
Swift/iOS Kotlin/Android Mobile Architecture
Benefits & Perks
Remote work

Job Description



Location: Remote – Candidates must be located in the PST, MST, or CST time zones and be willing to work PST hours.

Job Type: Fulltime/Contract


Job Details:

Required Technical Skills:

• Swift/iOS and Kotlin/Android expertise

• React Native or Kotlin Multiplatform

• Mobile architecture patterns and performance optimization

• Offline-first applications and release engineering

• Mobile CI/CD and testing practices


Required Leadership Skills

• 12+ years of software engineering experience, with significant tenure at Staff/Principal level.

• Drive cross-team technical decisions, platform direction, and multi-team initiatives (architecture alignment, trade-off resolution, execution). • Define and scale AI-driven SDLC standards, including tools, guardrails, and automation patterns.

• Hands-on experience with AI-assisted development (e.g., Copilot, Claude Code, Cursor) to deliver production systems; able to articulate workflow impact and guardrails.

• Strong experience designing and evolving large-scale distributed systems (APIs, data pipelines, event driven systems, high-scale platforms).

• Proven cross-org leadership—driving architecture, standards, and platform initiatives across multiple teams.

• Elevate engineering quality through code reviews, architecture reviews, and mentoring senior engineers.

• Strong engineering fundamentals in code quality, testing, CI/CD, and observability while maintaining delivery velocity.

• Effective communicator with the ability to influence stakeholders and drive alignment without formal authority.

• Experience collaborating across product, data, security, and infrastructure teams.

• Track record of documenting and scaling architectural decisions and organizational learnings.

• Experience working with distributed teams (US, China, LATAM).


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