Karanwal Capital - Software Engineer - Trading Systems

Description :

Karanwal Capital is a systematic family office managing proprietary capital with the precision of a technology firm. We operate on a singular thesis : Systems outperform sentiment. Managing over $25M+ in proprietary assets, we architect automated strategies that harvest volatility and arbitrage inefficiencies across global equity and credit markets.

Unlike traditional funds, we manage permanent capital, allowing us to focus on multi-decade compounding and radical engineering without the pressure of external investor cycles. Our infrastructure is entirely proprietary, built from the ground up to ensure zero-dependency and institutional-grade performance.

The Role :

- We are seeking a high-caliber Software Engineer Trading Systems to join our core engineering team in Mumbai. In this role, you will be responsible for the "fortress" that powers our firm : our proprietary, low-latency execution engine and data pipelines. You will bridge the gap between quantitative research and market execution, ensuring our strategies are deployed with sub-millisecond precision.

- This is a role for an engineer who views code as a physical machinewhere every nanosecond of latency and every byte of memory matters.

Core Responsibilities :

- Execution Engine Development : Optimize and extend our Rust-based execution core to handle Direct Market Access (DMA) and high-frequency order routing.

- Data Infrastructure : Design and maintain robust data pipelines that ingest and clean real-time tick data and alternative datasets for our Python-based research layer.

- Latency Optimization : Profile and eliminate bottlenecks in the trading path to maintain our <1ms execution mandate.

- System Reliability : Build and "torture-test" automated risk guardrails, ensuring hard-coded stop-losses and margin checks are ironclad.

- Architectural Ownership : Maintain 100% proprietary code standards; we do not use black-box vendor solutions. You will own the logic from ingestion to exchange.

Required Qualifications :

- Technical Excellence : Expert-level proficiency in Rust (preferred for execution) or C++ (low-level systems programming).

- Data Agility : Strong experience with Python for building scalable data pipelines and integrating with quantitative research models.

- System Design : Deep understanding of data structures, algorithms, and multi-threaded programming. Familiarity with network protocols (FIX/TCP/UDP) is highly desirable.

- Academic Background : A degree in Computer Science, Engineering, or a related quantitative field from a premier institution (IIT/NIT/BITS or international equivalent).

- The "Quant" Mindset : A passion for financial markets and the discipline to build systems that operate autonomously in high-volatility environments.

Preferred Attributes :

- Experience building Direct Market Access (DMA) systems or working with NSE/BSE/NASDAQ connectivity.

- Knowledge of statistical arbitrage, mean-reversion logic, or market-making strategies.

- Prior experience in a high-frequency trading (HFT) firm or a systematic hedge fund.

What We Offer :

- The Principal Advantage : Work directly with the firms leadership in a flat, high-transparency environment where performance is measured by code integrity and alpha generation.

- Permanent Capital Stability : The freedom to build for the long-term without the volatility of external fund-raising cycles.

- Competitive Compensation : A professional, corporate-grade package including discretionary bonuses tied to system performance and firm-wide success.

- Prime Location : Based in the heart of Mumbais financial district.