1 день назад
Staff Software Engineer - Back End (AI)
188 500 - 255 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer - Back End (AI) (Java, Microservices, Cloud): Architecting and developing scalable, secure backend applications and services for financial technology products with an accent on cloud computing, databases, microservices, and AI integration. Focus on launching AI integrations in production, evaluating their impact, and designing durable systems across multiple architectural layers.
Location: San Diego, California, United States
Salary: $188,500–$255,000 annual base pay
Company
is a financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Drive significant technology initiatives end-to-end across multiple architectural layers.
- Architect and develop scalable, secure, maintainable applications and systems.
- Design durable software solutions that integrate with multiple systems and solve critical customer problems.
- Define application, platform, and developer-tool best practices while experimenting with emerging technologies.
- Work with global, cross-functional teams across time zones and communicate with employees, customers, management, and executives.
- Launch AI integrations in production, measure their impact on performance and user satisfaction, and mentor junior engineers.
Requirements
- BS/MS in Computer Science or a related field, or equivalent experience.
- 7+ years of experience delivering enterprise-class applications.
- Proficiency in Java and strong knowledge of algorithms, design patterns, scalable application development, accessibility, internationalization, and instrumentation.
- Experience with automated testing, including TDD and unit, integration, and functional testing.
- Experience with SQL and NoSQL database design, relational database implementation, analytics, cloud environments, microservices, containers, and Kubernetes or similar systems.
- Experience building or integrating AI models using techniques such as LLM prompting or AutoML, and monitoring AI performance in production.
Culture & Benefits
- Work in a builder-oriented culture focused on innovation, experimentation, and emerging technologies.
- Collaborate with data scientists, product managers, and software engineers across global teams.
- Competitive compensation with performance-based rewards.
- Potential eligibility for cash bonus, equity rewards, and employee benefits.
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