6 часов назад
Staff Software Engineer - Full Stack (AI)
202 500 - 274 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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