2 дня назад
Staff Software Engineer (Scala/TypeScript)
202 500 - 274 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Scala/TypeScript): Building and owning cloud-native banking systems for checking, savings, deposits, transfers, cards, and payment flows with an accent on correctness, low latency, high availability, and event-driven consistency. Focus on designing distributed financial systems, Kafka messaging workflows, GraphQL APIs, and AI-powered production capabilities while leading technical direction and mentoring engineers.
Location: New York, New York, United States
Salary: $202,500–$274,000 annual base pay, with potential bonus, equity rewards, and benefits.
Company
is a global financial technology platform operating products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Own the architecture and development of critical CK Money banking systems for checking, savings, deposits, transfers, cards, and payments.
- Design scalable, secure, low-latency services and data models with strong correctness, availability, and performance requirements.
- Build and evolve Kafka-based event-streaming workflows that keep balances, transactions, notifications, and partner integrations consistent and idempotent.
- Develop GraphQL APIs and cloud-native services using Scala, TypeScript, and Google Cloud.
- Identify, develop, and evaluate AI-powered product features and agentic engineering workflows.
- Lead technical initiatives, design reviews, execution planning, mentoring, quality practices, and integrations with banks, processors, and payment networks.
Requirements
- 7+ years delivering enterprise applications, with strong backend development and API design experience.
- 5+ years designing complex distributed systems at scale.
- Strong proficiency in TypeScript and/or Scala, or another functional/JVM language.
- Hands-on experience with GraphQL schema design and federation, microservices, Kubernetes, Docker, Terraform, and event-driven systems.
- Production experience with Kafka or comparable messaging platforms, public cloud development, relational and NoSQL data design, and high-volume data pipelines.
- Experience integrating and evaluating AI in production, including LLM prompting, tool or function calling, agentic workflows, and model-accuracy measurement.
Culture & Benefits
- Continuous delivery with extensive instrumentation, automated testing, CI/CD, observability, security, and accessibility practices.
- Hands-on engineering role with approximately 60–70% of time spent writing production code.
- Opportunity to influence technical direction, mentor senior engineers, and solve high-stakes financial systems problems.
- Competitive pay-for-performance compensation approach with potential cash bonus, equity rewards, and benefits.
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