📌 Job Summary

Company: Trendlyne (Giskard Datatech Pvt Ltd)

Role: Software Engineer – Python/Django

Location: Bangalore, India

Experience: 1 – 4 Years

Skills Required: Python, Django, PostgreSQL/MySQL, Redis; (Optional) JavaScript, HTML, CSS for frontend familiarity. :contentReference[oaicite:0]{index=0}

Posted on: 19/01/2026

🧠 Job Description

As a Software Engineer at Trendlyne, you’ll work on building scalable backend systems using Python and the Django framework that can manage large data volumes and high traffic. You will collaborate with product managers and cross-functional teams to translate requirements into highly performant features while ensuring code quality and documentation. :contentReference[oaicite:1]{index=1}

Main Responsibilities

• Design and develop robust backend services using Python and Django. :contentReference[oaicite:2]{index=2}
• Translate functional requirements into modular, high-performance architecture. :contentReference[oaicite:3]{index=3}
• Handle data at scale, optimizing performance for high-volume requests. :contentReference[oaicite:4]{index=4}
• Create and maintain clear technical documentation. :contentReference[oaicite:5]{index=5}
• Participate in design and code reviews to uphold engineering best practices. :contentReference[oaicite:6]{index=6}
• Mentor junior engineers and contribute to team growth. :contentReference[oaicite:7]{index=7}

💼 Salary Expectations

Backend developers with Python and Django skills in Bangalore typically command salaries around ₹10 LPA to ₹20 LPA depending on experience and technical expertise. For startups like Trendlyne, compensation may include performance bonuses or equity components aligned with growth. (Market benchmark for Python backend roles) :contentReference[oaicite:8]{index=8}

📘 How to Prepare for This Role

• Python & Django Mastery: Strong hands-on experience with Django’s ORM, middleware, REST API frameworks, and performance optimization. :contentReference[oaicite:9]{index=9}
• Databases & Caching: Solid knowledge of relational databases (PostgreSQL/MySQL) and key-value stores like Redis. :contentReference[oaicite:10]{index=10}
• System Design & Scalability: Understand how to architect systems that handle large data sets and serve millions of requests. :contentReference[oaicite:11]{index=11}
• Frontend Fundamentals: Optional familiarity with JavaScript, HTML, and CSS can help when integrating backend APIs. :contentReference[oaicite:12]{index=12}
• Testing & Deployment: Practice writing unit/integration tests and deploying Django apps using containerization and CI/CD. :contentReference[oaicite:13]{index=13}

🏢 About Trendlyne

Trendlyne is a Bangalore-based fintech startup building a powerful stock analytics and research platform that helps retail and institutional investors make informed investment decisions. Its tools provide stock screeners, portfolio insights, backtesting, and real-time data analytics across markets. :contentReference[oaicite:14]{index=14}

The company handles and processes large volumes of financial data to produce actionable scores, visualizations, and API services that serve thousands of users and clients monthly. :contentReference[oaicite:15]{index=15}

🌍 Company Culture & Work Environment

Trendlyne operates as a product-led startup where engineers work closely with product and analytics teams. Startups like this typically emphasize ownership, rapid iteration, and cross-functional communication. Team members often get opportunities to influence product direction and grow their technical skills in data-intensive environments. :contentReference[oaicite:16]{index=16}

🔥 Industry Trends & Outlook

Python backend engineers with Django experience remain in high demand, especially in fintech and analytics products where scalable web services are crucial. Familiarity with high-performance API design, data modeling, and cloud deployments is valuable for competitive roles in 2026. :contentReference[oaicite:17]{index=17}

⚖️ Pros & Cons of Working at Trendlyne

Pros	Cons
Work with a fast-growing fintech product and large data systems	Startup roles may require wide-ranging responsibilities
Opportunity to influence product development	Smaller teams may mean less structured career paths vs large tech firms
Exposure to Python, Django, and data analytics tech	May involve tight delivery timelines

🔗 Apply Now

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