About Us:
Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits
every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.
What You Will Do:
• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and a deep interest in scalable, low-latency systems.
• You should have 2–5 years of experience in Python-based development and be eager to solve complex performance and scalability challenges in trading and fintech applications.
• You measure success by your own growth, not external validation.
• You thrive on challenges, not on perks or financial rewards.
• Taking calculated risks excites you—you’re here to build, break, and learn.
• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading environment.
• You understand the stakes—milliseconds can make or break trades, and precision is everything.
What We Expect:
• Develop and maintain scalable backend systems using Python.
• Design and implement REST APIs and socket-based communication.
• Optimize code for speed, performance, and reliability.
• Collaborate with frontend teams to integrate server-side logic.
• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.
• Build fault-tolerant, multi-producer/consumer systems.
Must-Have Skills:
• 2–5 years of experience in Python and backend development.
• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).
• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.
• Bachelor’s degree in Computer Science or related field.
Nice-to-Have Skills:
• Past experience in fintech, trading systems, or algorithmic trading.
• Experience with GoLang, C/C++, Erlang, or Elixir.
• Exposure to trading, fintech, or low-latency systems.
• Familiarity with microservices and CI/CD pipelines.