Staff Engineer

Myntra • Marketplaces • Apparel & Fashion Brands • Go • JavaScript • Java • Node JS • 2 days ago

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Salary

≈ $31k – $81k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Staff · 9+ years exp

First seen by Alion on Oct 13, 2026.

Overview

Company

Impact

Profile match

Myntra

Myntra is an Indian fashion and lifestyle e-commerce company that sells clothing, footwear, beauty and accessories from domestic and international brands as well as its own private labels. Founded in 2007, it was acquired by Flipkart in 2014 and later took over Jabong. The company is headquartered in Bengaluru, Karnataka, India.

myntra.com • HQ: Bengaluru, India • Apparel & Fashion Brands • Marketplaces • Est. 2007

Tech stack of Myntra

Backed by Accel, Premji Invest, Kalaari Capital

Responsibilities:

Own the architecture and development of scalable backend systems for fraud prevention, risk controls, and abuse detection.
Design configurable rule engines and real-time decision-making systems.
Build reliable distributed systems with strong concurrency handling, idempotency, and event-driven architecture.
Ensure correctness and reliability across payments, billing, metering, and ledger-related workflows.
Drive technical design, hands-on coding, production debugging, and performance optimization.
Mentor engineers and provide technical leadership across teams.

Requirements:

9+ years of backend engineering experience, with strong expertise in Node.js, Go, or Java.
Hands-on experience building fraud detection/prevention systems, configurable rules engines, or risk control platforms.
Experience in payments, fintech, banking, e-commerce, billing, metering, or other financially critical systems.
Strong understanding of distributed systems, concurrency, idempotency, and event-driven architecture.
Experience with NoSQL databases, Elasticsearch, and streaming systems.
Proven ability to lead technical architecture while remaining hands-on with coding and production systems.
Strong problem-solving skills with a focus on scalability, reliability, and low-latency systems.

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