Distinguished, Software Engineer

Walmart Walmart · Retail · Redbird AR BENTONVILLE, Crossman Excellence Building CA SUNNYVALE

Distinguished Software Engineer to define the long-term technical strategy and architecture for a next-generation compute platform that combines secure execution environments, micro-VM isolation, serverless runtimes, Kubernetes, and modern software delivery practices. This role focuses on building the infrastructure for AI-powered applications and autonomous software agents at enterprise scale.

What you'd actually do

  1. Define the long-term technical vision and architecture for Walmart's secure AI compute platform.
  2. Lead the design of highly scalable distributed systems that combine serverless execution, secure runtime environments, GPU and cloud-native infrastructure.
  3. Architect secure execution environments for AI-generated and untrusted workloads, including workload isolation, networking, identity, secrets management, and resource governance.
  4. Drive innovation in virtualization technologies, micro-VM platforms, Kubernetes, and cloud-native infrastructure.
  5. Improve platform performance by optimizing startup latency, scalability, resource utilization, and operational efficiency.

Skills

Required

  • Go, Rust, Java, or similar languages
  • Kubernetes
  • containers
  • serverless
  • GPU
  • statefulset
  • CICD
  • git ops
  • AgentSandbox
  • cloud-native platform technologies
  • operating systems
  • networking
  • virtualization
  • distributed systems
  • security fundamentals

Nice to have

  • Firecracker, Cloud Hypervisor, KVM, QEMU, or similar platforms
  • Serverless computing platforms, event-driven architectures, and scalable runtime systems
  • AI infrastructure, LLM platforms, agentic systems, AI runtime platforms, or secure execution environments for AI workloads
  • CI/CD platforms, GitOps, progressive delivery, software supply chain security, artifact signing, or policy-as-code
  • Multi-tenant platform architecture, service mesh, zero-trust security, and cloud-native observability
  • Building resilient, highly available infrastructure supporting mission-critical production services
  • Technical leadership demonstrated through open-source contributions, patents, technical publications, conference presentations, or industry collaboration

What the JD emphasized

  • define the long-term technical strategy and architecture
  • highly strategic individual contributor role
  • solve complex distributed systems challenges
  • influencing engineering direction across multiple organizations
  • partner with senior engineering leaders to design foundational infrastructure
  • build, deploy, and operate AI-powered applications securely, efficiently, and at massive scale
  • secure execution platform for AI-powered applications and autonomous software agents
  • secure sandboxed execution
  • micro-VM technology
  • serverless computing
  • Kubernetes
  • modern CI/CD capabilities
  • unified developer platform
  • own the platform end-to-end
  • secure runtime infrastructure
  • deployment automation
  • seamless developer experience
  • make it simple, scalable, and secure to run AI-powered workloads in production
  • foundational infrastructure that accelerates innovation
  • Define the long-term technical vision and architecture
  • highly scalable distributed systems
  • serverless execution
  • secure runtime environments
  • GPU and cloud-native infrastructure
  • Architect secure execution environments for AI-generated and untrusted workloads
  • workload isolation
  • networking
  • identity
  • secrets management
  • resource governance
  • Drive innovation in virtualization technologies
  • micro-VM platforms
  • Kubernetes
  • cloud-native infrastructure
  • Improve platform performance
  • optimizing startup latency
  • scalability
  • resource utilization
  • operational efficiency
  • Design resilient CI/CD platforms
  • GitOps
  • progressive delivery
  • automated rollback
  • software supply chain security
  • Establish engineering standards for reliability
  • observability
  • security
  • operational excellence across the platform
  • Mentor Principal and Staff Engineers
  • architecture reviews
  • technical leadership
  • engineering best practices
  • Influence technical strategy across multiple organizations
  • partnering with Product, Infrastructure, Security, and Platform Engineering teams
  • Contribute to Walmart's technical leadership
  • open-source collaboration
  • technical publications
  • patents
  • industry engagement
  • Extensive experience designing, building, and operating large-scale distributed systems in production
  • Deep expertise with Kubernetes
  • containers
  • serverless
  • GPU
  • statefulset
  • CICD
  • git ops
  • AgentSandbox
  • cloud-native platform technologies
  • Strong understanding of operating systems
  • networking
  • virtualization
  • distributed systems
  • security fundamentals
  • Expert-level programming experience in Go, Rust, Java, or similar languages
  • Proven ability to define technical strategy and influence architecture across multiple engineering organizations
  • Secure execution environments
  • workload isolation
  • virtualization technologies
  • Firecracker
  • Cloud Hypervisor
  • KVM
  • QEMU
  • Serverless computing platforms
  • event-driven architectures
  • scalable runtime systems
  • AI infrastructure
  • LLM platforms
  • agentic systems
  • AI runtime platforms
  • secure execution environments for AI workloads
  • CI/CD platforms
  • GitOps
  • progressive delivery
  • software supply chain security
  • artifact signing
  • policy-as-code
  • Multi-tenant platform architecture
  • service mesh
  • zero-trust security
  • cloud-native observability
  • Building resilient, highly available infrastructure supporting mission-critical production services
  • Technical leadership demonstrated through open-source contributions
  • patents
  • technical publications
  • conference presentations
  • industry collaboration

Other signals

  • building the next generation of AI infrastructure
  • autonomous software agents to safely execute code and tools at enterprise scale
  • secure compute foundation that powers AI-driven development and intelligent automation
  • design foundational infrastructure that enables teams across Walmart to build, deploy, and operate AI-powered applications securely, efficiently, and at massive scale