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Salary
≈ $20k – $50k per year (Estimated)
Location
In office (Mumbai)
Seniority
Staff · 6+ years exp

First seen by Alion on Sep 9, 2026. FuGenTex Solutions scores D on the Alion truth index.

Overview
Company
Impact
Profile match
FuGenTex Solutions is a technology services company that hires cloud engineers with deep Google Cloud Platform experience. Its DevOps work covers infrastructure, automation, continuous integration and delivery, and containerised environments. The company is based in Mumbai, India.

About the Role :

We are looking for an experienced C++ Technical Lead to join a leading organization in the capital markets domain. The ideal candidate will spend significant time designing and developing microsecond-optimized C++ applications, while also mentoring engineers, reviewing architecture and ensuring high-quality technical delivery.

Key Responsibilities :

- Design, develop and optimize high-performance C++ applications

- Work on low-latency, real-time and performance-critical systems

- Analyze and optimize code for CPU, memory and latency performance

- Design scalable and robust software architectures

- Work extensively with multithreading, concurrency and synchronization

- Perform code reviews and establish development best practices

- Mentor and guide C++ developers technically

Tech Stack & Requirements :

- Strong hands-on experience in C++ / Modern C++

- Strong understanding of OOP, STL, templates and data structures

- Excellent knowledge of multithreading and concurrency

- Experience with Linux/Unix environments

- Strong understanding of memory management and performance optimization

- Experience developing low-latency / high-performance systems

Preferred Domain Experience :

Candidates from the following domains will be preferred :

- Capital Markets / Stock Exchanges

- Algorithmic / High-Frequency Trading

- Investment Banking / FinTech

- Market Data / Trading Platforms

- Low-Latency Systems

- Telecom / Networking / Real-Time Systems

Skills

C++, OOPS, STL, Data Structure, Multithreading, Concurrency Patterns, Memory Management

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