Lead Software Engineer, Clearing Engineering

Design, build, and maintain high-performance risk and clearing systems supporting automated default management and capital efficiency. Architect scalable market-data infrastructure, ensure high availability and disaster recovery, optimize performance, translate complex requirements into technical designs, enforce testing and code-quality standards, and mentor engineers.

Responsibilities

  • Design, build, and maintain high-performance risk systems for the Clearing function
  • Architect scalable infrastructure to ingest and transform market data feeds
  • Apply data models and workflows across risk management, regulatory reporting, and clearing
  • Ensure high availability, disaster recovery, data freshness, and throughput
  • Enforce code quality, automated testing, and SDLC best practices
  • Identify bottlenecks and cost inefficiencies through performance profiling
  • Collaborate with product managers, quants, and risk managers to translate requirements into technical specifications
  • Drive evolution of the platform's target-state architecture

Requirements

  • 10+ years of engineering experience supporting mission-critical risk and clearing systems at a regulated financial institution
  • Deep knowledge of margining, default waterfall mechanics, mark-to-market valuation, stress testing, and backtesting
  • Understanding of derivatives, options, futures, and Greeks
  • Expert-level Java proficiency building fault-tolerant, high-throughput systems
  • Experience with performance tuning, garbage collection optimization, concurrency, and memory management
  • Implementation experience with Aeron and Kafka
  • Expertise in data structures, event schemas, and database models
  • Proficiency with SQL and NoSQL data stores including Postgres, Redis, and MongoDB
  • Understanding of testing methodologies, SDLC, Twelve-Factor App, HA/DR, and hexagonal architecture
  • Ability to use Large Language Models to accelerate development while maintaining engineering standards
  • Ownership, adaptability, mentorship, and collaborative communication

Benefits

  • Discretionary annual target bonus
  • Performance incentives

See also

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