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Location
In office (Pune)

First seen by Alion on Sep 1, 2026.

Overview
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Headquartered in Mumbai, India, Purplle is a leading e-commerce platform and omnichannel retailer specializing in beauty, cosmetics, and personal care products. The company offers an extensive catalog of global and domestic brands alongside its own private labels, utilizing data-driven algorithms to provide personalized product recommendations. By integrating virtual try-on technologies and tailored shopping experiences, it helps millions of consumers seamlessly discover and purchase grooming and wellness solutions.

Responsibilities:

  • AI-Native Velocity: Lead the 70% AI-assisted PR mandate by mastering Cursor, Copilot, and Claude to accelerate delivery of Node.js (NestJS) and Golang microserviceswhile keeping human intelligence focused on high-level system design and architecture decisions.
  • Unbreakable Backend Architecture: Architect high-throughput, event-driven microservices using Kafka and Redis, embedding resilience patterns like circuit breakers, health checks, and fallback mechanisms to handle massive traffic spikes without manual intervention.
  • Data and Performance Ownership: Own the unit economics of the data layer, optimise MySQL and MongoDB queries, design efficient schemas, and ensure sub-second p99 latencies with predictable infrastructure costs on GCP.
  • End-to-End Golden Path Ownership: Drive features from design docs to Kubernetes deployment, ensuring high reliability through strong engineering practices and maintaining low change failure rates and minimal Sev-1 incidents.
  • API and Service Design Excellence: Build clean, versioned, and backwards-compatible APIs and modular microservices with a strong focus on maintainability, scalability, and clear service contracts.
  • Cloud-Native Operations and Observability: Design and operate services on Kubernetes with robust logging, monitoring, and alerting; proactively debug production issues and ensure high availability.
  • Scalability and Cost Efficiency: Continuously optimise system throughput, fault tolerance, and infrastructure utilisation to support high growth while maintaining strict control over cloud costs.
  • Technical Leadership and Collaboration: Lead design decisions, write clear RFCs, mentor engineers, and collaborate closely with Product, Frontend, Data, and DevOps teams to drive high-quality outcomes.
  • Core Engineering Excellence: Apply strong fundamentals in distributed systems, concurrency, and data structures, combined with sharp problem-solving, debugging, and communication skills.
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