Software Engineer III

Walmart Walmart · Retail · Bentonville, AR

Software Engineer III at Walmart responsible for building and deploying agentic AI solutions using LLMs and multi-agent orchestration with Python. The role involves designing and implementing scalable data integration and transformation pipelines, and requires experience with various backend and frontend technologies, CI/CD, cloud platforms, API development, automated testing, and monitoring tools.

What you'd actually do

  1. Participates in the discovery phase of small to medium-sized projects to come up with high level design by partnering with the product management, project management, business, and user experience teams.
  2. Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality, possible root cause); performing root cause analysis to reduce future issues; engaging support teams to assist in the resolution of issues; developing solutions; driving the development of an action plan; performing actions as designated in the plan; interpreting the results to determine further action; and completing online documentation.
  3. Manages small to large-sized complex projects by reviewing project requirements; translating requirements into technical solutions; researching and identifying alternative solutions; determining needed solution based on return on investment and value add to the business; gathering requested information (for example, design documents, product requirements, wire frames); writing and developing code; conducting unit testing; communicating status and issues to team members and stakeholders; collaborating with project team and cross functional teams; identifying areas of opportunity; interpreting information and identifying a solution; ensuring solution is sustainable across implementation and use; troubleshooting open issues and bug-fixes; and ensuring on-time delivery and hand-offs.
  4. Provides support to the business by responding to user questions, concerns, and issues (for example, technical feasibility, implementation strategies); researching and identifying needed solutions; determining implementation designs; providing guidance regarding implications of new and enhanced systems; identifying short- and long-term solutions; and directing users to appropriate contacts for issues outside of associate's domain.
  5. Assists in providing guidance to small groups of two to three engineers, including offshore associates, for assigned Engineering projects by proving pertinent documents, directions, examples, and timeline.

Skills

Required

  • Developed Java application using microservices architecture, Spring Boot, Spring MVC, Spring Data JPA, Spring Security, and Spring Cloud as backend tools and Angular and React as frontend tools.
  • CI/CD pipeline development using Maven, Gradle, Git, Jenkins, and automated build and deployment practices.
  • Containerization and orchestration using Docker and Kubernetes in cloud environments.
  • Deploying and maintaining Cloud applications across AWS, Azure, and enterprise cloud platforms.
  • API design, development, and testing using RESTful and GraphQL APIs, including endpoint validation and integration testing.
  • Performing automated testing and quality assurance using functional and integration testing frameworks such as Selenium and Cucumber.
  • Frontend application development using JavaScript frameworks, state management libraries, and build tools.
  • Monitoring, logging, and observability using centralized dashboards, alerts, and log analysis tools using OpenObserve, Splunk and Grafana.
  • Implementing Relational and NoSQL database, Elasticsearch design, development, integration, data modeling, and data consistency management across distributed applications.
  • Building and deploying agentic AI solutions using LLMs and OpenAI Agents SDK and specializing in multi-agent orchestration using Python with Hugging Face, Ollama, and event-driven APIs.
  • Designing and orchestrating scalable data integration and transformation pipelines using Azure Data Factory and Databricks.

What the JD emphasized

  • Building and deploying agentic AI solutions using LLMs and OpenAI Agents SDK
  • specializing in multi-agent orchestration using Python with Hugging Face, Ollama, and event-driven APIs

Other signals

  • building agentic AI solutions
  • multi-agent orchestration
  • LLMs
  • OpenAI Agents SDK