Job Description

 Role Overview:
We are seeking a highly skilled Low Latency Quant Systems Developer to design, build, and optimize mid to high frequency trading systems for US equities and cryptocurrency markets. The ideal candidate will have deep expertise in C++, experience with ultra-low latency architectures, and a proven track record in real-time market data handling, execution systems, and high-performance computing for trading applications.

This is a hands-on engineering role, working closely with quant researchers, traders, and infrastructure engineers to deliver production-grade trading systems that operate at scale with microsecond-level latency.

Key Responsibilities:
1. Design & Develop
• Build ultra-low latency trading systems using modern C++ (C++17/20) for US equities and crypto markets.
• Implement efficient market data handlers, order execution gateways, and risk control modules.
• Develop backtesting and simulation frameworks to support quant research and strategy development.

1. Performance Optimization
   • Profile and tune code for sub-millisecond performance and high throughput.
   • Minimize network, kernel, and serialization overheads in critical execution paths.
   • Optimize order routing and feed handling for multiple venues and protocols (e.g., FIX, native APIs, WebSocket).
   
2. Collaboration & Integration
   • Partner with quant researchers to integrate trading strategies into production systems.
   • Work closely with infrastructure teams on bare-metal deployments, low-latency networking, and time synchronization (e.g., PTP).
   
3. Monitoring & Reliability
   • Build robust fault-tolerant systems with real-time logging, monitoring, and alerting.
   • Ensure high availability and disaster recovery mechanisms. 

Job Requirements

 1. Technical Skills:
• Expert-level C++17/20 programming, including multi-threading, lockfree data structures, and template metaprogramming.
• Experience with low-latency optimizations (NUMA, kernel bypass, RDMA, DPDK, TCP/UDP tuning).
• Strong understanding of market microstructure for US equities and crypto venues.
• Familiarity with market data protocols (ITCH, OUCH, FIX, WebSocket APIs) and exchange-specific APIs.
• Experience with real-time data processing and event-driven architectures.

2. Quant & Trading Knowledge
• Understanding of mid/high-frequency trading strategies, order types, and execution algorithms.
• Familiarity with risk management and position tracking in real time.

3. Infrastructure & Tooling
• Proficiency in Linux systems programming and network programming.
• Experience with build systems (CMake, Bazel), profilers, and debuggers (gperf, perf, valgrind).
• Knowledge of cloud-native and on-prem deployments is a plus.

4. Education & Experience:
• Bachelor’s/Master’s in Computer Science, Electrical Engineering, or related field.
• 3–7 years of experience in low-latency trading systems or HPC environments.

5. Preferred Experience (Bonus Points):
• GPU acceleration (CUDA) or FPGA programming for ultra-low latency strategies.
• Experience with Python for data analysis or integration scripts.
• Knowledge of cryptography and blockchain protocols for crypto execution systems.
• Exposure to distributed systems and microservices architectures.

6. Soft Skills:
• Strong problem-solving and debugging skills.
• Ability to work in a fast-paced, iterative development environment.
• Excellent communication for cross-functional collaboration.
• High ownership mentality with a focus on reliability and performance. 

Skills