Principal Software Engineer – Marketplace Platforms

Walmart Walmart · Retail · Sunnyvale, CA

Principal Software Engineer to lead design and development of enterprise-scale Marketplace platforms, supporting sellers, listings, pricing, orders, and real-time transactions. Role involves building high-throughput, low-latency distributed systems, event-driven architectures, and enabling AI/ML use cases like fraud detection and pricing optimization.

What you'd actually do

  1. Serve as a technical authority responsible for building high-throughput, low-latency systems that power marketplace growth at massive scale.
  2. Architect and build distributed marketplace services for seller onboarding, catalog, pricing, inventory, and order flows
  3. Design event-driven and streaming architectures using Apache Kafka for real-time marketplace signals
  4. Develop and optimize Java-based microservices using Spring / Spring Boot
  5. Build high-volume data pipelines using Big Data frameworks (Spark, Hadoop, Flink) for analytics and ML

Skills

Required

  • Java
  • distributed systems
  • event-driven architectures
  • Kafka
  • Big Data ecosystems
  • microservices
  • REST/gRPC APIs
  • SQL and NoSQL databases
  • system design
  • troubleshooting
  • performance-optimization

Nice to have

  • Marketplace, e-commerce, payments, or supply-chain platform experience
  • Cloud-native development on AWS, GCP, or Azure
  • Kubernetes, Docker
  • service mesh
  • ML platforms
  • feature stores
  • real-time inference
  • observability tools
  • security
  • data governance
  • compliance

What the JD emphasized

  • enterprise-scale
  • high-throughput, low-latency systems
  • massive scale
  • real-time marketplace signals
  • high-volume data pipelines
  • AI/ML use cases
  • resiliency, observability, CI/CD, and operational excellence
  • millions of sellers, SKUs, and transactions
  • real-time insights and AI-driven decisions
  • enterprise-scale best practices

Other signals

  • enterprise-scale Marketplace platforms
  • AI/ML-driven marketplace intelligence
  • high-throughput, low-latency systems
  • AI/ML use cases such as fraud detection, pricing optimization, seller scoring, and recommendations
  • real-time insights and AI-driven decisions