(ind) Senior, Software Engineer

Walmart Walmart · Retail · Bangalore, KA, India

Senior Software Engineer role focused on backend systems using Java or Python, leveraging Generative AI tools to enhance development processes like coding, refactoring, documentation, and problem analysis. The role involves designing scalable solutions, improving issue detectability, debugging, and mentoring junior engineers on responsible GenAI use within a consumer-facing Sam's Club business context.

What you'd actually do

  1. The primary responsibility of this role is to work on backend systems using Java or Python, leveraging GenAI tools to accelerate development, code refactoring, documentation, and problem analysis.
  2. In collaboration with product, engineering, and business teams, you will understand the problem space and design scalable solutions, using GenAI-assisted insights for requirement analysis, solution design validation, and impact assessment to improve application quality and stability.
  3. Along with driving quality engineering efforts, you will focus on improving issue detectability in lower environments by applying GenAI-powered analysis and automate repetitive/manual tasks using scripts and AI-assisted workflows.
  4. You will utilize GenAI for debugging, root cause analysis, and proactive monitoring, alongside hands-on experience with Kubernetes, logging frameworks, and deployment pipelines, to troubleshoot and resolve DevOps and production issues efficiently.
  5. You will actively contribute to microservices development, write effective and maintainable test cases enhanced by GenAI-based test coverage suggestions, and mentor junior engineers on both engineering best practices and responsible use of GenAI tools in day-to-day development.

Skills

Required

  • Java or Python
  • Kubernetes
  • Microservices architecture
  • Design patterns
  • Data structures
  • Algorithms
  • Test case writing
  • Automated testing frameworks
  • Agile software development methodologies
  • Debugging
  • Root cause analysis
  • Proactive monitoring
  • Deployment pipelines
  • Mentoring junior engineers

Nice to have

  • Generative AI tools
  • GenAI-assisted workflows
  • GenAI-powered analysis
  • GenAI-based test coverage suggestions
  • Logging frameworks
  • DevOps troubleshooting
  • Application and infrastructure understanding
  • Network management

What the JD emphasized

  • Hands on experience in applications using Generative AI
  • Strong hands on development skills to prototype technical solutions
  • Strong experience in coding with high quality for production use in scalable systems
  • Proven track record for delivering results at scale

Other signals

  • Leveraging GenAI tools to accelerate development
  • Using GenAI-assisted insights for requirement analysis
  • Applying GenAI-powered analysis for issue detection
  • Utilizing GenAI for debugging and root cause analysis
  • Hands-on experience with Generative AI