Job Title: Python Backend Engineer
Location: Nariman Point, Mumbai
Experience: 2-3 Years
About Crest
Crest Ventures Limited is a Non-Banking Finance Company registered with The Reserve Bank of India (RBI) and listed on the National Stock Exchange of India (NSE) and Bombay Stock Exchange (BSE). Diversified across asset classes and geographies, the company operates under three verticals: Real Estate, Financial Services and Investments.
Position Overview
We are seeking an experienced Python Backend Engineer to join our team in building high-performance, scalable backend systems for algorithmic trading. The ideal candidate will have strong expertise or interest in developing exchange integrations, optimizing order management systems, and ensuring low-latency execution. Experience with FastAPI and Golang is a strong plus.
Responsibilities
● Design and develop scalable backend systems for real-time trading applications.
● Build and optimize order management systems with smart order routing capabilities.
● Integrate multiple exchange APIs (REST, WebSockets, FIX protocol) for seamless connectivity.
● Develop high-performance execution engines with low-latency trade execution using Python and optionally Golang.
● Develop APIs using FastAPI for efficient and fast backend service delivery.
● Implement real-time monitoring, logging, and alerting systems to ensure reliability.
● Design fault-tolerant and distributed architectures for handling large-scale transactions.
● Work on message queues (RabbitMQ, Kafka) for efficient data processing.
● Ensure system security and compliance with financial industry standards.
● Collaborate with quant researchers and business teams to implement trading logic.
Required Technical Skills
● Strong proficiency in Python (2+ years) with a focus on backend development.
● Expertise in API development and integration using REST, WebSockets, and FIX protocol.
● Experience with asynchronous programming (asyncio, aiohttp) for high-concurrency applications.
● Strong knowledge of database systems (MySQL,PostgreSQL, MongoDB, Redis, time-series databases).
● Proficiency in containerization and orchestration (Docker, Kubernetes, AWS).
● Experience with message queues (RabbitMQ, Kafka) for real-time data processing.
● Knowledge of monitoring tools (Prometheus, Grafana, ELK Stack) for system observability.
● Experience with scalable system design, microservices, and distributed architectures.
Good to Have Qualifications
● Experience with real-time data processing and execution.
● Experience developing backtesting engines capable of processing millions of events per second.
● Knowledge of quantitative trading strategies and algorithmic trading infrastructure.
● Contributions to open-source backend or data engineering projects.
Where Do You Fit?
This is a high-impact role with direct interaction with the founding team. You’ll have mentorship, learning budgets, and opportunities to grow as a specialist or take a generalist route.
At Crest, we value ownership, responsibility, and the right mindset. We encourage you to leverage your strengths, improve your weaknesses, and make meaningful contributions.
Skills Required
- 2-3 years experience in backend development with Python
- API development and integration using REST, WebSockets, and FIX protocol
- Asynchronous programming with asyncio and aiohttp
- Database experience: MySQL, PostgreSQL, MongoDB, Redis, time-series databases
- Containerization and orchestration: Docker, Kubernetes, AWS
- Experience with message queues (RabbitMQ, Kafka)
- Monitoring and observability tools: Prometheus, Grafana, ELK Stack
- Scalable system design, microservices, distributed architectures
- Experience with FastAPI
- Experience with Golang
- Knowledge of algorithmic trading, low-latency execution, or backtesting engines
- Contributions to open-source backend or data engineering projects
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.
