# Infrastructure Engineer

**Company:** [Trexquant](https://hotfix.jobs/companies/trexquant)
**Location:** Gurugram, India
**Role:** Backend Engineering
**Experience:** 2+ years
**Skills:** C++, Python, C++17, C++20, Template Metaprogramming, Linux, NumPy, Scipy, Kafka, Redis, Htcondor, Blaze, Openblas, Lapack, Pybind11
**Posted:** 2026-04-01

> Build and optimize low-latency, high-throughput C++ and Python infrastructure for quantitative research, trading, simulation, and market-data systems. The role requires at least two years of modern C++ experience, strong Linux systems knowledge, and familiarity with real-time environments.

## Job Description

## Responsibilities
- Develop low-latency, high-throughput research and trading systems using **C++** and **Python**.
- Build and optimize data-processing pipelines for reliable access to large, high-quality datasets.
- Assist in developing tools for backtesting, model training, and strategy evaluation.
- Collaborate with researchers and traders to deliver technical solutions that improve research productivity and trading performance.
- Participate in code reviews, testing, and documentation.
- Stay current with emerging technologies, tools, and best practices to improve systems.

## Requirements
- Bachelor's, master's, or PhD in Computer Science or a related STEM discipline.
- Minimum 2 years of experience in C++ software development within demanding, real-time environments.
- Strong expertise in modern C++ (C++17/20), including advanced features such as template metaprogramming.
- Experience building high-throughput, low-latency systems.
- Strong understanding of Linux fundamentals and systems-level programming.
- Working knowledge of Python and its numerical ecosystem, including NumPy and SciPy.
- Strong analytical and problem-solving skills, with the ability to work independently in a fast-paced environment.

## Nice-to-haves
- Familiarity with distributed systems and technologies such as Kafka, Redis, and HTCondor.
- Experience with matrix computation and optimization using Blaze, OpenBLAS, or LAPACK.
- Experience working with live market data and exchange feeds.
- Experience profiling and tuning production Linux systems for high throughput.
- Experience with time-series processing or event-driven systems.
- Experience working across C++ and Python boundaries using pybind11, the C API, embedded Python, or hybrid pipelines.
- Background in finance.

## Compensation and Benefits
- Competitive salary plus a bonus based on individual and company performance.
- Collaborative work environment with participation in research-direction decisions and opportunities to lead new ideas.
- Comprehensive healthcare and insurance benefits.

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