8 часов назад
Staff Software Engineer (FinTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (FinTech): Architecting complex systems and scalable data solutions for a financial data platform with an accent on reference data integration, high-performance ingestion, and AI-native production services. Focus on designing distributed systems, building microservices and data frameworks, and driving technical direction across cross-functional engineering teams.
Location: New York, NY, United States
Company
is a global data and AI platform that helps investment professionals manage complex financial, portfolio, market, and client data.
What you will do
- Drive the technical direction of complex solutions in collaboration with product partners and engineering teams across regions.
- Design, develop, and deploy scalable data solutions that meet business requirements.
- Build frameworks for high-performance ingestion and distribution of financial data.
- Develop AI-native products from prototypes into scalable production services.
- Evaluate strategic business and technology decisions and provide guidance across the engineering community.
- Mentor engineers, share best practices, and drive continuous improvement.
Requirements
- Bachelor’s or master’s degree in computer science or a similar technical field, or equivalent practical experience.
- 7+ years of software engineering experience.
- Experience with distributed systems, microservices, and messaging queues.
- Ability to own complex projects involving partners across multiple teams.
- Experience collaborating with and mentoring other engineers.
- Working knowledge of an object-oriented language such as Python, PySpark, or Java, plus relational databases, SQL, NoSQL, OLAP, or data lake architectures.
Nice to have
- Knowledge of financial concepts such as stocks and bonds.
- Interest in FinTech and investment management.
Culture & Benefits
- Values ownership, collaboration, client focus, innovation, and continuous learning.
- Works with a global engineering community and multidisciplinary teams.
- Equal opportunity employment and commitment to inclusion and belonging.
- Reasonable accommodations are available for candidates with disabilities during the application, interview, and employment process.
Hiring process
- Employment offers are made only after a formal interview process.
- does not require candidates to purchase equipment or supplies during onboarding.
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