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Staff Software Engineer - Trade Processing Middle Office Platform

Clear Street

$170,000 - $240,000
Oct 8, 2025
New York, NY, US
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Clear Street is modernizing the brokerage ecosystem by replacing legacy infrastructure with a cloud-native clearing and custody system to support billions in trading volume per day and provide a best-in-class experience for clients.

Requirements

  • 10+ years of strong proficiency in Java / Spring Boot, Spring, RDBMS, Service Oriented Architecture (SOA), microservice based server side application development.
  • Strong experience with distributed systems, event-driven architecture, and tools like Kafka.
  • Practical knowledge of relational databases (e.g., Postgres) and schema design.
  • You have a strong command over design patterns, data structures, and algorithms.
  • You have strong problem-solving skills with a keen eye for performance optimization.
  • Strong understanding of multi-threading, concurrency, and performance tuning.
  • Experience with containerization (Docker, Kubernetes).

Responsibilities

  • You will architect and build highly available, horizontally scalable mission critical applications in a modern technology stack
  • Design, build, and optimize core components responsible for processing a high volume of trade data in a low latency environment.
  • Solve complex performance and scalability challenges, ensuring our systems handle large-scale financial data efficiently.
  • Collaborate with product managers, and other engineers to translate financial methodologies into robust software solutions.
  • Lead by example in system design discussions, architectural trade-offs, and best practices.
  • Mentor team members, contributing to a strong culture of engineering excellence.
  • You have contributed to systems that deliver solutions to complex business problems that handle massive amounts of data.

Other

  • Bachelor's Degree in Computer Science or Engineering
  • Masters Degree in Computer Science or Related Engineering Field
  • Background in the financial services industry or experience working with financial data analytics.
  • We are requiring employees to be in the office 4 days per week.
  • We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences.