Staff Software Engineer

Walmart

. Lead architecture and detailed design for complex, distributed, and highly integrated systems .

Posted 9/22/2026full-timeSunnyvale • California • United StatesLead💰 $143,000 - $286,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing complex, distributed systems with a strong focus on AI/ML integration, observability, and operational readiness. Proven ability to mentor engineering teams and establish best practices for software development and automation.

Highest-signal resume keywords

Distributed Systems ArchitectureAI/ML IntegrationREST API DesignCI/CD and Automated TestingObservability and Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaJavaScriptPowerShellSQLNoSQLEvent-Driven SystemsData PipelinesRisk ScoringAnomaly Detection

Soft Skills

MentoringCollaborationInfluencing Engineering Decisions

Tools & Technologies

AzureGCPServiceNowITSM Platforms

Industry Keywords

Change ManagementOperational ReadinessData QualitySecurity and GovernanceModel Evaluation

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsGoogle Cloud PlatformITSMJavaJavaScriptNoSQLPythonServiceNowSQL

About the role

Key responsibilities & impact

Lead architecture and detailed design for complex, distributed, and highly integrated systems
Establish engineering standards, reusable patterns, and best practices across software, APIs, automation, and AI/ML capabilities
Lead technical design reviews and influence engineering decisions across teams and organizations
Identify opportunities to simplify, modernize, and standardize the technology landscape
Mentor engineers and raise the technical capabilities of the broader engineering organization
Build intelligent workflows for change request creation, risk assessment, approval routing, scheduling, validation, and verification
Develop services and automation that improve change success, failure, and health metrics through instrumentation and data-driven engineering
Apply modular architecture, automated testing, observability, security, and operational readiness
Design event-driven and API-based architectures for reliable, scalable system-to-system integration
Build automation for pre-change validation, dependency and impact analysis, risk assessment, and post-change verification
Maintain data consistency, integrity, lineage, and traceability across enterprise systems
Enable ingestion and retrieval of topology, configuration, policy, incident, and operational data
Develop reusable integration patterns and platform capabilities
Architect and integrate AI/ML and LLM-based capabilities into enterprise engineering workflows
Apply anomaly detection, classification, recommendation systems, risk scoring, and LLM-based reasoning
Implement retrieval, grounding, context management, and evaluation strategies for LLM applications
Establish guardrails, observability, evaluation, and fallback mechanisms for production AI systems
Partner with engineering, product, architecture, and operations stakeholders to move AI capabilities into enterprise-scale production
Design for high availability, fault tolerance, scalability, and graceful degradation
Establish SLOs, SLIs, observability, alerting, and operational practices for critical services
Identify and resolve performance bottlenecks across applications, APIs, data stores, and distributed systems
Drive improvements based on production telemetry, incidents, and operational trends
Ensure failure handling, resiliency, recovery, and rollback strategies

Requirements

What you’ll need

Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area; OR 6 years’ experience in software engineering or related area
Extensive experience building production-grade distributed systems
Strong programming experience in Python, Java, JavaScript, PowerShell, or equivalent languages
Experience designing REST APIs, event-driven systems, webhooks, and asynchronous workflows
Strong understanding of CI/CD, automated testing, and operational readiness
Hands-on experience with Azure, GCP, or comparable cloud platforms
Experience with SQL/NoSQL databases, data pipelines, caching, messaging/event platforms, and distributed data processing
Strong understanding of observability, monitoring, logging, tracing, and production operations
Experience with ServiceNow Change Management or comparable ITSM platforms
Strong focus on data quality, consistency, lineage, security, and governance
Experience integrating AI/ML models and/or LLM APIs into production applications
Strong understanding of LLM application architecture, including model integration, context management, grounding/retrieval, evaluation, and guardrails
Experience with risk scoring, anomaly detection, classification, recommendation systems, or other decision-support applications
Understanding of model evaluation, monitoring, explainability, and continuous improvement
Experience designing reliable and scalable AI-powered production systems, including latency, cost, accuracy, and failure handling considerations

Benefits

Comp & perks

Incentive awards for performance
401(k) match
Stock purchase plan
Paid maternity and parental leave
PTO and/or PPTO, including sick leave, vacation, and holidays
Multiple health plans, including medical, vision, and dental coverage
Company-paid life insurance
Family care leave
Bereavement leave
Jury duty and voting leave
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U Walmart-paid education benefit, including tuition, books, and fees
Performance-based bonus awards
Stock compensation may be included for certain positions