Salary
≈ $20k – $85k per year (Estimated)
Location
In office (Pune)
Overview
Company
Impact
Profile match
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.
We aren't looking for feature factories; we are looking for owners of a resilient ecosystem. At Purplle, your success is defined by your mindset and the tangible impact.
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 microservices while 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, optimize 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 backward-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 optimize system throughput, fault tolerance, and infrastructure utilization 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.
Candidate Profile:
- The Systems Thinker (Quality and Resilience): You hate fixing the same bug twice. You'd rather build a self-healing mechanism than perform a manual fix. Your goal is to maintain a change failure rate of < 1.5% and help us reach a state of fewer than 2 Sev-1 incidents per quarter.
- The AI-Fluent Architect (High Velocity): You are already using AI tools to 10x your own productivity. You leverage these tools to drive a cycle time of < 4 hours and maintain a high frequency of daily deployments, moving code from commit to production with total confidence.
- The Data-Informed Engineer (Economic Discipline): You care about the why behind the code. You understand that latency and cloud spend are engineering disciplines, and you optimize your infrastructure so that our cost-per-order remains predictable as we scale.
- The Proactive Collaborator (Security and Governance): You thrive in a cross-functional environment (Eng, Data, DevOps, Security). You take ownership of the Golden Path, ensuring 100% of your repositories are gated and that zero critical vulnerabilities ever reach our production environment.
Requirements:
- Languages and Frameworks: Node.js (NestJS / Express), Golang.
- Data and Messaging: MySQL, MongoDB, Redis, Kafka, Aerospike, ElasticSearch.
- Infrastructure: Kubernetes, GCP / AWS, Docker.
- Observability: Prometheus, Grafana, OpenTelemetry.
- AI Productivity: Cursor, Claude, GitHub Copilot.
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