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6 часов назад

Staff Software Engineer - Full Stack (AI)

202 500 - 274 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Software Engineer - Full Stack (AI) (JavaScript/Java, Cloud, Kubernetes): Architecting and developing scalable full-stack applications and AI integrations for financial management products with an accent on secure architecture, cloud deployment, microservices, and production AI monitoring. Focus on driving cross-layer technology initiatives, evaluating AI performance and user satisfaction, and mentoring engineers on AI-enabled software development.

Location: New York, New York, United States

Base pay: $202,500–$274,000 per year, with potential bonus, equity rewards, and benefits.

Company

hirify.global is a global financial technology platform providing products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Drive significant technology initiatives end to end across multiple layers of architecture.
  • Architect and develop scalable, secure, maintainable applications and services.
  • Define application, platform, and developer-tool best practices.
  • Identify opportunities to enhance products with AI and launch AI integrations in production.
  • Evaluate AI impact on software performance and user satisfaction using relevant metrics.
  • Collaborate with global cross-functional teams and coach junior engineers.

Requirements

  • Bachelor’s or master’s degree in computer science or equivalent experience.
  • 7+ years of experience delivering enterprise-class applications.
  • Proficiency in JavaScript application design and testing, plus mid-tier languages such as Java.
  • Experience with scalable web and mobile applications, accessibility, internationalization, instrumentation, algorithms, and design patterns.
  • Experience with test automation, TDD, unit, integration, and functional testing; relational database design; SQL and NoSQL databases; and analytics.
  • Experience with microservices, containers, Kubernetes or similar systems, cloud environments, and AI integration and monitoring.

Nice to have

  • Experience in utility computing or cloud computing domains.
  • Experience with LLM prompting or AutoML modeling.

Culture & Benefits

  • Builder-oriented culture focused on innovation, emerging technologies, and customer problem-solving.
  • Opportunity to work with global teams across time zones.
  • Competitive pay-for-performance compensation approach.
  • Potential cash bonus, equity rewards, and employee benefits.

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