Software Developer

TAAS Partners

Job Location:

Delhi - India

Monthly Salary: Not Disclosed

Posted on: 21 hours ago

Vacancies: 1 Vacancy

Job Summary

About Client

We are a fast-moving global firm operating in the crypto market-making space (not an exchange) but focused on building next-gen high-frequency trading infrastructure for market making in various global exchanges.

A Full Stack Developer at a High-Frequency Trading (HFT) firm builds high-performance internal dashboards low-latency APIs and real-time risk-management tools. The role requires heavy Python backend capabilities paired with frontend engineering focusing entirely on speed system reliability and microsecond data flow.

Core Responsibilities

Backend Development: Design ultra-low latency multi-threaded Python microservices (using FastAPI or Flask) for order routing and risk assessment.
Frontend Engineering: Build responsive real-time trading dashboards and admin panels using React TypeScript and state management (e.g. Redux) to monitor live positions.
Data Processing: Engineer WebSocket and WebRTC pipelines to handle real-time market data streaming without bottlenecks.
Infrastructure: Implement containerized workflows using Docker and Kubernetes alongside CI/CD deployment pipelines.
Cross-Functional Support: Work directly with Quantitative Researchers and Algorithmic Traders to deploy and visualize trading strategies.

Essential Qualifications

Experience: 3 to 6 years of hands-on Python experience with a proven track record in algo/proprietary trading HFT firms or fintech.
Programming: Deep expertise in core Python Asynchronous programming and JavaScript/TypeScript.
Databases: Hands-on proficiency with time-series databases (e.g. TimescaleDB) caching tools (Redis) and relational databases (PostgreSQL).
Low Latency: Strong grasp of memory profiling OS-level concurrency (multi-threading/multi-processing) and network latency mitigation.

Preferred Qualifications

Basic understanding of financial markets order books and exchange protocols (e.g. FIX Binance API).
Familiarity with C or Rust for performance-critical backend modules.
Degree in Computer Science Financial Engineering or a highly quantitative STEM field.

About Client We are a fast-moving global firm operating in the crypto market-making space (not an exchange) but focused on building next-gen high-frequency trading infrastructure for market making in various global exchanges. A Full Stack Developer at a High-Frequency Trading (HFT) firm builds high...

About Client

Core Responsibilities

Backend Development: Design ultra-low latency multi-threaded Python microservices (using FastAPI or Flask) for order routing and risk assessment.
Frontend Engineering: Build responsive real-time trading dashboards and admin panels using React TypeScript and state management (e.g. Redux) to monitor live positions.
Data Processing: Engineer WebSocket and WebRTC pipelines to handle real-time market data streaming without bottlenecks.
Infrastructure: Implement containerized workflows using Docker and Kubernetes alongside CI/CD deployment pipelines.
Cross-Functional Support: Work directly with Quantitative Researchers and Algorithmic Traders to deploy and visualize trading strategies.

Essential Qualifications

Experience: 3 to 6 years of hands-on Python experience with a proven track record in algo/proprietary trading HFT firms or fintech.
Programming: Deep expertise in core Python Asynchronous programming and JavaScript/TypeScript.
Databases: Hands-on proficiency with time-series databases (e.g. TimescaleDB) caching tools (Redis) and relational databases (PostgreSQL).
Low Latency: Strong grasp of memory profiling OS-level concurrency (multi-threading/multi-processing) and network latency mitigation.

Preferred Qualifications

Basic understanding of financial markets order books and exchange protocols (e.g. FIX Binance API).
Familiarity with C or Rust for performance-critical backend modules.
Degree in Computer Science Financial Engineering or a highly quantitative STEM field.