Distinguished, Software Engineer, Global Systems Driver Trust, Earnings & Risk

Walmart Walmart · Retail · Sunnyvale, CA

Distinguished Engineer to lead the evolution of Walmart's Last Mile Driver Platform, focusing on Driver Trust & Safety, Earnings, Compliance, Risk Controls, and Scalable Systems. This role requires enterprise-wide technical leadership, defining multi-year strategy, architecting highly scalable distributed systems, and leveraging AI/ML for fraud detection and compliance automation. The role involves cross-organizational influence, mentorship, and ensuring regulatory adherence and data security within a large-scale, cloud-native environment.

What you'd actually do

  1. Define and drive multi-year technical strategy and architecture aligned with Walmart’s business priorities.
  2. Act as a company-wide technical authority, influencing decisions across multiple teams and domains.
  3. Lead cross-organizational initiatives that span engineering, product, compliance, and operations.
  4. Design and operate highly scalable distributed systems supporting 15,000+ transactions per second with high availability and low latency.
  5. Architect systems to ensure driver trust and safety, including fraud detection, identity verification, and risk mitigation.

Skills

Required

  • 20+ years of experience in software engineering
  • significant time in large-scale distributed systems
  • Staff+, Principal, or Distinguished Engineer level experience
  • leading enterprise-wide or cross-domain technical initiatives
  • domain knowledge for gig delivery or Risk & Fraud or Earning & Compliance
  • Deep expertise in distributed systems and high-scale architectures
  • Deep expertise in AuthN/AuthZ and security frameworks
  • Deep expertise in Data platforms, data lakes, and real-time processing
  • Deep expertise in Cloud-native technologies (AWS, GCP, Azure)
  • Deep expertise in API design and third-party integrations
  • Strong understanding of compliance, risk, and regulatory systems
  • Experience applying AI/ML to real-world problems (fraud, recommendations, automation)
  • Knowledge of data governance, privacy, and security frameworks
  • Demonstrated ability to influence across organizations without direct authority
  • Demonstrated ability to drive alignment across engineering, product, and business
  • Demonstrated ability to translate ambiguity into clear technical strategy and execution
  • Strong communication skills with executives and technical teams
  • Track record of delivering impact through metrics-driven decision-making

Nice to have

  • gig economy, marketplace, mobility, or last-mile delivery platforms
  • Trust & Safety, risk systems, or compliance engineering
  • scaling platforms serving millions of users or drivers
  • Strong product mindset focused on customer (driver) experience

What the JD emphasized

  • Distinguished Engineer
  • enterprise-wide technical leaders
  • multi-year technical strategy
  • company-wide technical authority
  • highly scalable distributed systems
  • 15,000+ transactions per second
  • regulatory compliance
  • Risk and Compliance Platform
  • AuthN and AuthZ strategies
  • ITGC, SOX
  • data security, privacy, and governance
  • secure-by-design principles
  • Staff+, Principal, or Distinguished Engineer level
  • gig delivery or Risk & Fraud or Earning & Compliance
  • AI/ML to real-world problems

Other signals

  • Distinguished Engineer
  • enterprise-wide technical leaders
  • Last Mile Driver Platform
  • Driver Trust & Safety, Earnings, Compliance, Risk Controls and Scalable Systems
  • highly scalable distributed systems
  • 15,000+ transactions per second
  • regulatory compliance across regions
  • Risk and Compliance Platform
  • earnings platforms
  • AI/ML and knowledge systems for fraud detection, compliance automation, and driver insights
  • modern data lake and data platform
  • AuthN and AuthZ strategies
  • ITGC, SOX
  • data security, privacy, and governance
  • secure-by-design principles
  • Staff+, Principal, or Distinguished Engineer level
  • gig delivery or Risk & Fraud or Earning & Compliance
  • AI/ML to real-world problems (fraud, recommendations, automation)