Senior, Software Engineer

Position Summary...

What you'll do...

About Team:
 
Search PTE - DevOps Team processes billions of queries for millions of products on Walmart sites and apps worldwide. Whenever a user types in a query or browses through product categories on the web or mobile, our service goes to work. We mine structured and semi-structured data from product catalogs, social web, transactions, query logs, and AI-generated signals at an unprecedented scale. We work on big data problems, cutting-edge relevance algorithms from information retrieval, machine learning, and AI-powered ranking to deliver a high-availability, low-latency service that directly impacts business metrics.
 

Position Summary

Being part of the Search PTE-DevOps team at Walmart provides deep insight into the full lifecycle of a product — from content acquisition to being sold on Walmart.com. As a Senior Software Engineer in DevOps & AI Platform, you must support all systems and services to ensure high availability and reliability, while embracing AI-augmented workflows to accelerate engineering velocity.
You will work closely with developers, AI/ML engineers, and platform teams to support new application features, AI model deployments, and service launches. You will design, build, and operate the tools that help in developing, scaling, and monitoring cutting-edge technology — including GenAI and LLMOps pipelines.
You must be able to triage complex technical issues in collaboration with engineering, NOC, NetEng, and Platform teams. If you are passionate about five 9’s reliability and excited about the intersection of AI and platform engineering, this position is for you.

We are looking for an expert in continuous integration and delivery pipelines, containerized infrastructure, and AI-assisted development practices. You will play a critical role in all search application and AI model release cycles, working closely with Engineering, QE, and DevOps.

What You'll Do:

• Build, manage, and evolve QE & Release Automation frameworks, incorporating AI-assisted test generation and self-healing test capabilities
• Build and support Kubernetes-based containerization in production, including GPU-backed workloads for AI/ML inference
• Lead independently the investigation and resolution of high-impact search system and AI service incidents
• Build, manage, and support comprehensive monitoring and observability for applications and AI model performance (drift, latency, accuracy)
• Maintain and improve automation pipelines supporting application build, release, and AI model deployment cycles (CI/CD + MLOps/LLMOps)
• Integrate AI coding assistants and GenAI tooling (e.g., Wibey, GitHub Copilot) into engineering workflows to accelerate development
• Design and implement AI-powered observability solutions using intelligent alerting, anomaly detection, and predictive incident management
• Collaborate with AI/ML teams to operationalize LLM-based features within search, including prompt pipeline management and vector search infrastructure
• Drive execution and lead medium- to large-scale projects from Dev to Ops, including AI/ML platform initiatives
• Analyze, design, and build frameworks using cutting-edge technology and AI tools to fulfill Operational Excellence
• Lead and independently handle high-impact, critical search system and AI service incidents
• Improve, optimize, and identify opportunities within the software development and AI deployment lifecycle (SDLC + MLOps)
• Provide engineering and QE teams with architectural guidance on solutions, automation frameworks, and AI integration patterns
• Work with product and engineering teams to review new functional and AI-driven requirements; develop comprehensive test plans and automate test cases — including AI model validation
• Perform quality assurance for large-scale eCommerce backend search services and AI-powered features
• Write programs and scripts to automate testing and validation of search backend services and LLM/AI inference pipelines
• Expertise in WCNP, Concord, Looper, Python, Golang, and Java — with hands-on experience in AI/ML tooling, LLMOps, and GenAI platforms

What You'll Bring:

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or related field
• 5+ years of experience building scalable eCommerce applications or distr