Distinguished, Software Engineer

Walmart Walmart · Retail · Bangalore, KA, India

Distinguished Engineer to lead and shape the future of Walmart's Kubernetes platform. This role focuses on driving technical vision and execution at scale, defining the long-term architecture and evolution of a next-generation Kubernetes platform powering massive workloads across AI/ML, data, and mission-critical applications. The role operates at the intersection of distributed systems, large-scale infrastructure, and GPU acceleration, solving complex challenges at unprecedented scale while influencing platform direction across teams and domains. Responsibilities include designing cloud-native, scalable, and resilient systems, driving adoption of automation and next-generation platform capabilities, and establishing patterns that improve reliability, scalability, and developer productivity.

What you'd actually do

  1. Own the architecture of a large-scale Kubernetes platform, solving complex distributed systems challenges in scalability, reliability, and high availability at Walmart scale.
  2. Drive the technical direction for platform evolution, building systems that are scalable, secure, and highly automated, with a focus on operational excellence and developer productivity.
  3. Influence engineering across the organization, guiding technical decisions, mentoring engineers, and driving adoption of modern platform capabilities and automation, including AI-driven enhancements where applicable.

Skills

Required

  • Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years’ experience in software engineering or related area.
  • 8 years’ experience in software engineering or related area.

Nice to have

  • Deep expertise in large-scale Kubernetes and distributed systems, with hands-on experience building and operating platforms that run mission-critical workloads across regions.
  • Proven ability to define architecture and drive technical direction across teams, with strong judgment in scaling, reliability, security, and system design trade-offs.
  • Track record of building efficient, automated platforms, with experience improving scheduling, resource utilization, and operational simplicity along with an interest in applying AI-driven approaches where they add real value.

What the JD emphasized

  • large-scale Kubernetes
  • distributed systems
  • scalability
  • reliability
  • high availability
  • highly automated
  • operational excellence
  • developer productivity
  • AI-driven enhancements
  • AI-driven approaches