Python Developer
2 weeks ago
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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