Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зона ответственности понятна: управление командой, облачная инфраструктура и внедрение AI-практик. Стек современный, но в стартапе приоритеты могут быстро меняться.
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Практика AI-разработки
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager, Homeowner and Partner Experiences (Fintech): Building and evolving AWS-based systems for homeowner and partner experiences with an accent on cloud infrastructure, security, observability, and AI-first engineering practices. Focus on designing scalable serverless platforms, establishing reliable AI-assisted development workflows, and leading full-stack engineers across product delivery and technical operations.
Location: Remote within the United States; PST or MST working timezone preferred.
Salary: $160,000–$180,000 per year.
Company
hirify.global is an early-stage fintech and proptech company developing home-equity access products for homeowners without traditional monthly financing payments.
What you will do
Lead the team building systems for homeowner and partner experiences from marketing through origination.
Own the architecture and evolution of AWS infrastructure with AWS CDK, including serverless applications built on AWS Lambda.
Define AI-first engineering practices, guardrails, tooling, context, conventions, review processes, and internal workflows for reliable AI-assisted development.
Contribute to product development with Node.js, TypeScript, PostgreSQL, React, Next.js, Tailwind, and Vercel, while improving code review, testing, deployment, documentation, and knowledge sharing.
Manage and develop full-stack engineers, plan priorities with product leads, coordinate with QA, Salesforce, offshore engineering, Engineering Leadership, and People Operations, and support hiring and onboarding.
Requirements
8+ years of experience as a full-stack or platform engineer, with a strong focus on back-end engineering and cloud infrastructure.
3+ years of directly managing engineers while remaining hands-on.
Deep production experience with AWS and AWS CDK.
Strong experience with cloud security, observability, and building scalable, maintainable systems.
Strong proficiency in TypeScript and Node.js, with experience in PostgreSQL and database design.
Working experience with React, Next.js, Tailwind, and Vercel.
Experience leading AI-first engineering practices at team level, including applying LLMs with appropriate guardrails while maintaining quality.
Experience building internal tooling, automation, or developer workflows that improve AI-assisted engineering.
Strong technical judgment, direct feedback skills, and experience supporting engineer growth and performance.
Clear communication with product, QA, and non-technical stakeholders.
Candidates must be located in the United States.
Desire to participate in a fast-paced early-stage startup, with adaptability and a collaborative, inclusive, team-oriented approach.
Nice to have
Experience working with offshore or distributed teams across time zones.
Experience with Salesforce platforms or integrations.
Culture & Benefits
Transparency, innovation, inclusivity, collaboration, and support for individual growth.
Access to any WeWork location, plus monthly cell and internet stipends.
Comprehensive healthcare plans for employees and families from the first day.
Flexible PTO and parental leave.
Reasonable accommodations are available for applicants, interviewees, and employees with disabilities.
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