Staff Software Engineer (Fullstack (AI))
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Staff Software Engineer (Fullstack): Building and optimizing cloud-native, AI-powered financial services for the QuickBooks Capital & Lending platform with an accent on scalable architecture, API design, and AI integration. Focus on leading complex technical initiatives, mentoring engineers, and shipping clean, well-architected code across the entire stack.
Location: Must be based in Mountain View, California
Salary: $202,500 - $274,000
Company
is a global financial technology platform that powers prosperity for millions of small businesses and individuals through products like TurboTax, QuickBooks, and Mailchimp.
What you will do
- Drive end-to-end technical initiatives across the full stack, from API and data design to frontend experience.
- Architect and build scalable, secure, cloud-native services using Java/Kotlin, Spring Boot, and React.
- Spend approximately 70% of time coding while setting the technical direction for the team.
- Lead the design of complex features and mentor engineers through challenging programming and design problems.
- Integrate AI-powered features into production and evaluate their impact using specific performance metrics.
- Champion engineering quality through automated testing, CI/CD, observability, and security.
Requirements
- 8+ years of experience designing and developing online SaaS applications with full-stack expertise.
- Strong proficiency in Java/Kotlin with Spring Boot and React with TypeScript.
- 5+ years of experience building and consuming web APIs (REST, gRPC, or GraphQL).
- Deep understanding of the full SDLC and software architecture processes.
- Proven technical leadership skills, including running design reviews and cross-functional collaboration.
- Must be based in Mountain View, California.
Nice to have
- Experience with AWS, Kubernetes, Kafka, and Elasticsearch.
- Hands-on experience building or integrating GenAI/LLM capabilities in production.
- Knowledge of production observability and instrumentation (metrics, logging, tracing).
- Strategic business acumen to connect engineering decisions to customer outcomes.
Culture & Benefits
- Competitive compensation package with a strong pay-for-performance rewards approach.
- Eligibility for cash bonuses and equity rewards.
- Comprehensive benefits program for full-time employees.
- Opportunity to work on AI-powered software at a massive scale.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β