Distinguished, Software Engineer

Walmart · Retail · Chennai, India

This role focuses on leading the design and development of scalable, cloud-native software systems and AI agents, integrating AI/ML components for intelligent automation and user experiences. The engineer will own the full software development lifecycle, champion DevOps, ensure observability, and drive continuous improvement. The role emphasizes system-level technical leadership, architectural integrity, and fostering a culture of excellence and mentorship.

What you'd actually do

  1. Owns the execution for specific services, platforms, or pipelines within a larger domain, delivering with architectural integrity and reliability.
  2. Translates the domain-level strategy into system-level implementation, facilitating alignment across engineering teams and platform stakeholders.
  3. Leads the design and development of robust, modular, cloud-native software systems and AI agents.
  4. Integrates external and internal AI/ML components (for example, reinforcement learning models, goal-oriented agents) for intelligent automation and user-facing experiences.
  5. Champions DevOps and CI/CD principles across teams, ensuring consistent delivery and operational readiness.

Skills

Required

  • Software Development
  • Continuous Integration
  • Cloud-Native Computing
  • System-Level Technical Leadership
  • Architectural Design
  • AI/ML Integration
  • DevOps
  • CI/CD
  • Observability
  • Incident Management
  • Mentorship
  • Problem Solving
  • Adaptability

Nice to have

  • reinforcement learning models
  • goal-oriented agents

What the JD emphasized

  • AI agents
  • cloud-native software systems
  • intelligent automation
  • user-facing experiences
  • reinforcement learning models
  • goal-oriented agents
  • DevOps and CI/CD
  • observability
  • resilient
  • performant
  • instrumentation
  • logging
  • alerting
  • incident analysis
  • prevention strategies
  • architectural bottlenecks
  • integration challenges
  • scaling limitations

Other signals

  • AI agents
  • cloud-native software systems
  • intelligent automation
  • user-facing experiences
  • DevOps and CI/CD
  • observability
  • incident analysis
  • architectural bottlenecks
  • scaling limitations