Trade Engineer

Jobtailor; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor in New York seeks an experienced software engineer to design, build, and maintain high-performance trading systems. You will deliver low-latency order management, reconciliation, and data pipelines, integrating with venues and data providers via FIX and APIs.

The role emphasizes observability, testing, and production reliability. You should have 2+ years building trading systems, with 3+ years preferred, strong C#/Python and familiarity with Rust or C++.

Qualifications

• 2+ years of software engineering experience building trading systems.
• 3+ years of software engineering experience preferred.
• Proficiency in C#, Python, and optionally Rust or C++.
• Strong grasp of concurrency, memory management, and performance profiling.
• Experience with production backend services and APIs (REST/streaming).
• PostgreSQL and SQL for trading and market data.
• Event-driven architectures and message queues.
• AWS, Docker, and CI/CD pipelines.
• Infrastructure-as-Code familiarity and observability tools like Datadog.
• Unix/Linux fundamentals; version control and testing discipline.
• Experience in equities trading, algorithmic execution, and TC analysis.

Responsibilities

• Design, build, and maintain trading systems across C#, Python, and Rust.
• Develop low-latency order management and execution services with pre-/post-trade checks.
• Build and optimize reconciliation pipelines for account status and breaks.
• Integrate with venues, custodians, and data providers via FIX and APIs.
• Build data pipelines connecting custodial data, security masters, and real-time feeds.
• Contribute to monitoring, alerting, and observability to track execution quality.
• Investigate and remediate issues during market hours across trade flow.
• Build internal services and UI components for trading workflow management.
• Write comprehensive tests and uphold CI/CD and deployment best practices.

Skills

C#

Python

Rust

C++

REST APIs

PostgreSQL

SQL

AWS

Docker

CI/CD

Event-driven

Datadog

Unix/Linux

Git

Tools

Terraform/CDK

Datadog

Job description

Responsibilities

• 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

Requirements

• 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