Mobile Architect

Machine Learning Technologies, LLC; Hawaii; On-site; USD 210,000 - 320,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a senior engineering leader to drive architecture, platform direction, and multi-team execution across US, China, and LATAM. You will define AI-enhanced SDLC standards and scale automated workflows.

You will mentor senior engineers, elevate code quality, and align product, data, security, and infra teams toward common goals while maintaining delivery velocity.

Qualifications

• 12+ years of software engineering experience, with Staff/Principal level tenure.
• Proven cross-team leadership to drive architecture and platform initiatives across multiple teams.
• Experience with AI-assisted development and AI-driven SDLC standards.
• Strong background in large-scale distributed systems (APIs, data pipelines, event-driven).
• Effective communicator who can influence stakeholders without formal authority.
• Experience collaborating across product, data, security, and infrastructure teams.
• Experience working with distributed teams (US, China, LATAM).

Skills

Swift/iOS & Kotlin/Android

Mobile architecture

Offline-first apps

Mobile CI/CD

12+ years software engineering

Cross-team leadership

AI-driven SDLC standards

AI-assisted development

Distributed systems

Cross-org leadership

Code reviews & mentoring

Observability & velocity

Stakeholder influence

Product/Data/Sec/Infra collaboration

Architectural decision documentation

Distributed teams (US, China, LATAM)

Job description

Required Leadership Skills:

• Swift/iOS and Kotlin/Android expertise
• Mobile architecture patterns and performance optimization
• Offline-first applications and release engineering
• Mobile CI/CD and testing practices
• 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).

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.