Design, build, and maintain trading systems across C#, Python, and Rust
Develop low-latency order management and execution services, including pre
and post-trade checks, order generation, and algo selection
Build and optimize reconciliation pipelines that certify account status and surface breaks against custodial and internal data
Integrate with execution venues, custodians, and market data providers via FIX and APIs
Build and optimize data pipelines connecting custodial data, security master databases, and real-time market data feeds
Contribute to systems for monitoring, alerting, and observability to track execution quality and system health, and act on what the data reveals
Investigate and remediate issues across trade execution, allocation, and account positions, often under time pressure during market hours
Build internal services and assist in building UI components for managing trading workflow.
Write comprehensive unit and integration tests, and uphold engineering best practices around code review, CI/CD, and deployment safety

Minimum of 2+ years of software engineering experience building reliable and efficient trading systems
3+ years of software engineering experience preferred
Strong proficiency in C#, Python, and optionally Rust or C++
Solid grasp of concurrency, memory management, and performance profiling
Experience building and operating production backend services and APIs (REST and/or streaming)
Working knowledge of PostgreSQL and SQL for trading and market data
Experience with event-driven architectures and message queues
Experience with AWS, Docker, and CI/CD pipelines
Familiarity with Infrastructure-as-Code (CDK/Terraform) and observability tooling (Datadog)
Strong software engineering fundamentals: version control, code review, testing, and Unix/Linux systems
Experience in equities trading, algorithmic execution, and transaction cost analysis
Familiarity with real-time market data APIs (Polygon, Bloomberg, Reuters)
Understanding of portfolio management, trade reconciliation, and custodial operations
Meticulous attention to detail when operating systems that handle real capital
Background in fintech, asset management, or a quantitative trading environment.

Trade Engineer

Key skills