Python Developer

24 hours ago

Bengaluru, Karnataka, India Nubra Full time ₹ 8,00,000 - ₹ 20,00,000 per year

Job Description – Python Algo Trading Developer (Backend)

Experience:
2–5 Years

Location:
Bengaluru

Role Overview

We are hiring a
Python Algo Trading Developer
with strong backend skills to build and optimise
low-latency trading systems
. The role requires hands-on experience in
market data integration, order execution, and algorithmic strategy deployment
. You will work closely with quants and backend teams to bring trading strategies into production, ensuring performance and reliability under live market conditions.

Key Responsibilities

  • Design and develop
    low-latency order execution engines
    in Python.
  • Build
    asynchronous microservices
    using Python (FastAPI, Flask, asyncio, multiprocessing).
  • Integrate with
    market data feeds
    (FIX, WebSocket, REST) for real-time processing.
  • Develop
    tick-level data pipelines
    for ingestion, storage, and strategy backtesting.
  • Collaborate with quants to
    convert research models into production algos
    .
  • Optimise backend services for
    speed, fault-tolerance, and high throughput
    .
  • Implement messaging systems (
    Kafka, RabbitMQ, Redis Streams
    ) for event-driven trading.
  • Deploy and monitor systems on
    Linux/Docker/Kubernetes
    with CI/CD pipelines.

Must-Have Requirements

  • 2–5 years
    of backend development experience in
    Python
    .
  • Strong in
    async programming
    (asyncio, multiprocessing, concurrent futures).
  • Experience with
    algo trading systems
    or
    brokerage/trading APIs
    .
  • Proficiency in
    PostgreSQL + Redis
    .
  • Hands-on with
    Kafka/RabbitMQ
    or other streaming/messaging systems.
  • Strong knowledge of
    low-latency system design
    .
  • Proficiency with
    Linux, Docker, Git, and Kubernetes
    .
  • Solid understanding of
    data structures, algorithms, and operating systems
    .

Good to Have

  • Exposure to
    OMS / RMS / risk controls
    .
  • Experience handling
    tick-by-tick market data
    .
  • Knowledge of
    equities, derivatives, and options trading
    .
  • Familiarity with
    C++/Golang
    for latency-sensitive modules.
  • Experience deploying backend systems on
    AWS/GCP cloud
    .

Ideal Candidate

  • Has worked on
    live trading systems
    or financial applications.
  • Can
    debug, optimise, and scale
    backend services under production load.
  • Strong communicator who can work with quants, infra, and product teams.
  • Passion for
    markets, trading technology, and performance engineering
    .

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