11 дней назад
Senior Staff Software Engineer, Workforce Solutions (AI)
220 500 - 298 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff Software Engineer, Workforce Solutions (AI) (Java/Spring Boot/React/TypeScript): Architecting scalable, secure analytical and customer-centric workforce platforms with an accent on AI-driven HCM capabilities, cloud-native systems, and production-grade AI integrations. Focus on designing evaluation, observability, and guardrail frameworks, solving complex cross-team distributed-system challenges, and defining technical strategy and engineering standards.
Location: New York, New York, United States
Base pay: $220,500–$298,000 per year, with potential bonus, equity rewards, and benefits.
Company
is a financial technology platform behind products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Architect scalable, secure, maintainable, and interoperable analytical and customer-centric platforms for workforce solutions.
- Contribute hands-on across the software lifecycle while also defining architecture, technical strategy, and cross-team alignment.
- Resolve complex, ambiguous technical problems across multiple teams and domains, ensuring end-to-end technology and customer experience quality.
- Define technical standards, patterns, reference architectures, and measures for the impact, reliability, and safety of AI in production.
- Design evaluation, observability, and guardrail frameworks for responsible AI integrations, measuring effects on performance, productivity, and customer satisfaction.
- Coach senior engineers, influence product and business leadership, and identify high-leverage opportunities for AI across the platform.
Requirements
- 12+ years of experience building web, software, or data-intensive applications, with technical leadership at Senior Staff level or above.
- Expert proficiency in an object-oriented language such as Java/J2EE or C#, with strong distributed-systems design judgment.
- Experience architecting end-to-end analytical and customer-centric ecosystems at scale.
- Hands-on experience designing and shipping AI/ML capabilities in production, ideally including LLM-based or agentic systems, retrieval-augmented generation, prompt and context engineering, agent memory, evaluation, and guardrails.
- Ability to influence technical direction across teams and communicate complex trade-offs to senior product and business leaders.
- BS/MS in Computer Science or equivalent practical experience.
Culture & Benefits
- Fast-paced engineering environment focused on workforce tools and continuous innovation.
- Modern cloud-native development using AWS and Kubernetes.
- Competitive compensation with performance-based rewards.
- Potential cash bonus, equity rewards, and employee benefits according to applicable plans.
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