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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in distributed systems, API design, and platform engineering, with a strong focus on AI/ML capabilities and operational scalability. Proven ability to lead technical investigations, define architectural standards, and write production-grade code throughout the software development lifecycle.
Highest-signal resume keywords
Distributed Systems ExpertiseAPI Design ProficiencyTechnical Leadership ExperienceAI/ML Capabilities IntegrationProduction-Grade Code Writing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringTechnical DesignPerformance OptimizationReliability EngineeringScalability SolutionsReference Architecture DefinitionNon-Functional Requirements DefinitionRoot Cause AnalysisObservability DesignCloud-Native Patterns Evaluation
Tools & Technologies
GitHub CopilotWibeyLLM-Based Tooling
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Related Field (Preferred)
Industry Keywords
Marketplace PlatformsWalmart Fulfilment ServicesAI-Native CapabilitiesDigital Accessibility Best PracticesWCAG 2.2 AA Standards
Tech Stack
Tools & technologiesCloudDistributed Systems
About the role
Key responsibilities & impact- Develop services enabling millions of sellers to onboard and do business with Walmart
- Own the technical vision and execution for mission-critical, cross-cutting Marketplace and Walmart Fulfilment Services platforms
- Design, develop, test, deploy, and operate Seller journey services across APIs, UI interfaces, data models, and distributed systems
- Define and document reference architectures, design patterns, implementation guardrails, and platform standards
- Evaluate technologies, frameworks, and cloud-native patterns for Walmart’s operational scale
- Author and review RFCs and architecture decision records
- Write production-grade code and solve complex performance, reliability, and scalability problems
- Conduct deep-dive code reviews and raise the team’s technical bar
- Lead investigations of P0/P1 incidents, own root cause analyses, and define permanent fixes
- Define non-functional requirements, instrument systems for observability, and drive continuous improvement
- Build runbooks and operational playbooks
- Use AI throughout engineering workflows, including schema design, code generation and review, testing, documentation, incident analysis, and API design
- Architect AI-native capabilities such as intelligent API health monitoring, AI-assisted seller onboarding, smart alerting, and anomaly detection
- Evaluate and integrate AI/ML capabilities that create measurable seller value
- Model AI-augmented engineering practices through demos, pairing sessions, and written guides
- Partner with engineering leadership to prioritize AI investments and contribute to Walmart’s engineering community
Requirements
What you’ll need- 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; OR 8 years’ experience in software engineering or related area
- Expertise in distributed systems, API design, and platform engineering
- Experience leading end-to-end technical design for complex initiatives
- Experience defining reference architectures, design patterns, implementation guardrails, and architectural standards
- Experience evaluating technologies, frameworks, and cloud-native patterns at operational scale
- Experience authoring and reviewing RFCs and architecture decision records (ADRs)
- Ability to write production-grade code, test, deploy, and own the full software development lifecycle
- Experience solving performance, reliability, and scalability problems
- Experience leading technical investigations for P0/P1 incidents, root cause analysis, and permanent fixes
- Experience designing resilient, observable platforms and defining non-functional requirements
- Proficiency with GitHub Copilot, Wibey, and LLM-based tooling
- Experience with AI/ML capabilities, AI-native platform capabilities, and AI-augmented engineering workflows
- Preferred: Master’s degree in a related field and 4 years' experience in software engineering or related area
- Preferred knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- Paid time off (PTO)
- Health benefits
- Compensation package
- Flexibility for associates to manage their personal lives