(USA) Staff, Software Engineer

Position Summary...

What you'll do...

Join our innovative and dynamic People Technology engineering team as a Staff Software Engineer. In this role, you'll play a crucial part in designing, developing, and implementing digital solutions that address mission-critical business challenges, supporting Walmart associates. Your projects will make a significant impact, be scalable, and drive Walmarts modernization efforts in the People Technology organization.

About Team:
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.

What You'll Do:

• Exposure to Modern Technologies: Work with cutting-edge tools in AI, big data, microservices, and cloud platforms like Azure.
• Endless Learning Opportunities: From internal tech communities to cross-team collaborations, you'll continuously level up your skills in an environment that values craftsmanship.
• Scale Like No Other: Your code wont just power an app—itll impact over 2 million associates and hundreds of millions of customers around the globe.
• Strong Engineering Culture: Engage in design thinking, code reviews, technical mentorship, and operational excellence.
• Collaborative Environment: Work closely with cross-functional teams including data scientists, product managers, and software engineers to deliver integrated AI solutions.

What You'll Bring:

• Experience: At least 8+ years of relevant industry experience in building highly available systems.
• AI/ML Integration: Hands-on experience designing and deploying scalable AI/ML solutions integrated with LLM in production environments.
• Technical Proficiency:
  • Languages: Proficiency in Python and familiarity with other languages such as Java or Scala.
  • AI/ML Frameworks: Expertise in TensorFlow, PyTorch, Transformers, LangChain, LangGraph, etc.
  • LLM Techniques: Experience with techniques such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning.
• Cloud Expertise:
  • Platforms: Strong knowledge of cloud architecture and deployments, particularly with Azure offerings.
  • Services: Experience with cloud storage, cloud security, and cloud migration.
• MLOps Tools:
  • Containerization and Orchestration: Proficiency with Docker and Kubernetes.
  • Infrastructure as Code: Experience with Terraform and AWS CDK.
  • CI/CD Workflows: Familiarity with MLflow for deployment, monitoring, and continuous integration/continuous deployment (CI/CD) workflows.
• Frontend Technologies: Familiarity with front-end technologies like ReactJS.
• Data Engineering: Knowledge of big data technologies such as Apache Spark, Hadoop, and data pipelines.
• APIs and Microservices: Experience with RESTful APIs, GraphQL, and microservices architecture.
• DevOps: Understanding of DevOps practices and tools such as Jenkins, Git, and CI/CD pipelines.
• Soft Skills: Excellent problem-solving skills, strong communication abilities, and the