Senior, Software Engineer

Walmart Walmart · Retail · Sunnyvale, CA

Senior Software Engineer role focused on developing and scaling backend services for Walmart's Catalog platform. The role involves designing and implementing microservices, troubleshooting issues, and mentoring junior engineers. While familiarity with GenAI trends and tools is mentioned as a plus for improving development processes, the core of the job is traditional backend software engineering.

What you'd actually do

  1. Design & develop highly scalable services and solve complex software systems problems by leveraging state-of-the-art technology and enhancing Walmart Catalog and Partner experience solutions
  2. Lead by example. Show your chops as an exceptional and experienced developer.
  3. Troubleshoot business and production issues by gathering information and engaging support teams to resolve issues
  4. Perform root cause analysis to prevent future occurrence of issues and ensure compliance with Walmart code of conduct
  5. Provide technical guidance and mentorship to junior team members to ensure compliance with Walmart code of conduct

Skills

Required

  • Java
  • building Java-based backend systems
  • microservices
  • Spring Boot
  • reactive frameworks like Spring WebFlux and Project Reactor (Mono and Flux)
  • internet-scale distributed technologies (e.g. Solr, Kafka, Mem Cache, etc.)
  • Spark engine
  • J2EE components
  • multithreading
  • networking
  • offline storage
  • caching
  • performance tuning
  • cloud-based solutions
  • CICD development environments/tools, including Git, Maven, and Jenkins
  • CS Fundamentals
  • Microservices
  • Data Structures
  • Algorithms
  • Problem Solving
  • NoSQL Databases like Cosmos DB, Cassandra
  • design and implement scalable data models
  • distributed systems
  • cloud-native development
  • microservices architecture
  • containerization using Docker
  • orchestration using Kubernetes
  • DevOps practices

Nice to have

  • GenAI trends and technologies
  • Using AI-powered code analysis tools
  • Implementing AI-driven testing frameworks
  • Leveraging AI-based performance monitoring and optimization tools
  • Designing AI-enabled data pipelines

What the JD emphasized

  • state-of-the-art technology
  • highly scalable services
  • complex software systems problems
  • exceptional and experienced developer
  • business and production issues
  • root cause analysis
  • technical guidance and mentorship
  • medium- to large-scale, complex, cross-functional projects
  • robust and scalable architectures
  • troubleshooting open issues and bug-fixes
  • enhancing design to prevent re-occurrences of defects
  • on-time delivery
  • internet-scale distributed technologies
  • Deep understanding of Spark engine
  • Strong understanding of J2EE components, multithreading, and networking.
  • Extensive knowledge of offline storage, caching, and performance tuning.
  • Strong understanding of CS Fundamentals, Microservices, Data Structures, Algorithms, and Problem Solving.
  • Strong understanding of distributed systems, cloud-native development, and microservices architecture.
  • containerization using Docker and orchestration using Kubernetes.
  • DevOps practices