Software Developer — Low-Latency Trading Systems (C++ / Python)

Obsidian Capital is a proprietary high-frequency trading firm in Ahmedabad, building ultra-low-latency systems that trade Indian markets with our own capital. Tiny, hungry team. Big ambitions. The code you ship moves P&L the next trading day — not the next quarter.

 

We are hiring a Software Developer to build and maintain the systems our traders and quantitative researchers use every day. You will work across our trading platform, write performance-critical code in C++ and Python, and own features end-to-end from design to production.

                                                                                                                                                                                

What you'll do

• Design, develop, test, and maintain components of our trading and research platform

• Write low-latency, high-throughput code in C++ and Python                                                                                                                   

• Build internal tools and infrastructure used directly by traders and quant researchers

• Diagnose and resolve issues in live production trading systems

• Collaborate with cross-functional teams — traders, researchers, and other engineers — on project delivery

• Profile, benchmark, and optimize hot paths in production code

Must have

• 1 – 3 years of professional experience building production software systems

• Strong proficiency in C++ and Python

• Hands-on experience with multithreading and multiprocessing

• Solid grasp of data structures, algorithms, and software design patterns

• Comfort working in Linux environments

• Genuine interest in financial markets and algorithmic trading                                                                                                               

• Bachelor's degree in Computer Science, Engineering, or a related field (any graduate considered for exceptional candidates)

Nice to have

• Experience building latency-sensitive or systems-level applications

• Exposure to network programming, sockets, or kernel-bypass stacks

• Prior work in quantitative finance, trading, or market data systems

• Contributions to open-source systems projects

• Compensation: INR 24 – 36 LPA, based on experience

• Year-end performance-linked bonus

• Direct ownership of high-impact work in a small, focused team

• Exposure to the full stack of a proprietary trading business — research, execution, risk, infrastructure

• Work alongside traders, researchers, and engineers in one room

• On-site role in Ahmedabad — immediate joining preferred