Software Engineering Intern

🏢 WealthIQ 📍 Bengaluru, Karnataka 💰 Estimated ₹30,000/month - ₹50,000/month Internship
Internship2026 Batch
📅 Posted 19d ago

📄 Job Description

About the Company

We're building a discretionary wealth manager for India's HNIs and UHNIs — not retail, not mass-affluent. A real manager who takes the mandate and owns the outcome across the full stack: equity, debt, PMS, AIF, alternatives. The founding team brings 150+ years of combined experience across wealth and markets — operators who've built and scaled multiple companies and managed serious capital at some of India's most respected wealth and investment firms. In a category full of sales pitches and finfluencer noise, our edge is trust.

About the Role

This role is for a Software Engineering Intern. It is open to final-year students and 2026 graduates. The internship duration is 6 months, with a potential full-time offer for strong performers.

Responsibilities

  • Build and ship backend services and APIs in Python or Go
  • Write queries and schemas for portfolio, transaction, and market data
  • Work on integrations — custodians, RTAs, exchanges, KYC and payment providers
  • Write tests and debug production issues alongside senior engineers
  • Take a feature from spec to shipped, with real review and real feedback

Requirements

  • Strong fundamentals in data structures, algorithms, OOP, and databases
  • Hands-on experience with Python or Go (college projects, internships or open source contributions are valued for the intern role)
  • Comfort with SQL, Git, and REST APIs
  • Curiosity about how markets and money actually work
  • Someone who asks why the number is wrong, not just where the bug is

Nice to Have

  • Any exposure to fintech, broking, or capital markets
  • Experience with AWS, Docker, or message queues (Kafka/RabbitMQ)

Why This Opportunity

Join a founding-stage engineering team working on real financial complexity, not just CRUD operations. You'll work closely with the founders and the core problem, gaining a learning curve that's hard to replicate later in your career.

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