(IND) SENIOR, SOFTWARE ENGINEER

Job description

**About Team** You will be part of a Data Engineering team that builds and operates scalable, intelligent data platforms enabling analytics, automation and AI-driven decision-making across the organization. Our work focuses on designing high-performance data systems, ensuring reliability and operational excellence and integrating Generative AI capabilities to enhance how data is processed, understood, and used. We work at the intersection of data engineering and applied AI, developing production-grade agentic systems that handle data at scale, automate complex workflows, and drive measurable business impact. The team culture emphasizes ownership, collaboration, and technical craftsmanship, encouraging innovation while maintaining strong engineering discipline and delivery excellence. Walmart’s Enterprise Business Services (EBS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. What you will do Design and Develop Scalable Data Systems Build and optimize high-performance data pipelines and APIs using Python, FastAPI, Spark, and Airflow, ensuring reliability and efficiency for large-scale distributed data. Develop and Deploy Agentic Systems Design and implement AI Agents using LangGraph or other agentic frameworks, capable of orchestrating data workflows, integrating with APIs, and leveraging LLMs and ML models for decision-making. Build Product-Ready AI Agents Deliver production-grade agents that are containerized, monitored, and scalable — with strong focus on observability, traceability, and monitoring. End-to-End Ownership Take full responsibility to build, deploy, and maintain systems — including Kubernetes scheduling, CI/CD pipelines, and infrastructure setup using Terraform. Develop and Integrate Frontend Interfaces Build modern, intuitive interfaces using React or Next.js to interact with agents, visualize data, and enable observability and control for end users. Ensure Operational Excellence Instrument applications for observability, monitoring, and traceability, ensuring reliability and performance at scale. Manage Cloud Deployments Work hands-on with Google Cloud Platform (GCP) services like BigQuery, Cloud Run, Vertex AI, and GCS to deploy and scale AI systems. Containerize and Automate AI Deployments Build containerized agents with Docker and orchestrate deployment using Kubernetes. Leverage CI/CD systems for continuous delivery and environment automation. Optimize for Scale and Maintainability Design with scalability in mind — ensuring systems can support multiple concurrent agents, handle high throughput, and adapt to growing data volumes. What you will bring 6–10 years of experience in software engineering, with strong exposure to large-scale distributed systems. Proficiency in Python, FastAPI, and data processing frameworks such as Spark. Working knowledge of Java/Scala for performance-critical components is a plus. Solid experience in frontend development, preferably with React or Next.js, to build interfaces and control panels for AI agents. Strong understanding of agentic frameworks (e.g., LangGraph, LangChain) and LLM orchestration concepts. Awareness of ML models, their deployment patterns, and interaction with Gen AI agents. Experience developing and deploying product-ready Gen AI agents that run at scale. Expertise in Kubernetes (deployment, scaling, and scheduling) and containerization best practices. Hands-on experience with Terraform for cloud infrastructure setup and management. Strong understanding of CI/CD pipelines, release automation, and environment management. Familiarity with Airflow or similar tools for orchestration and scheduling. Working knowledge of GCP, particularly BigQuery, Cloud Run, GCS, and Vertex AI. Skills in observability, monitoring, and traceability — including logging, metrics, and alerting frameworks. Strong knowledge of data modeling, prompt engineering, and retrieval-augmented generation (RAG) techniques. Practical understanding of MCP (Model Context Protocol) and agent ecosystem integrations. Proven ability to operate autonomously across Ops, Data, and AI system layers. **About Walmart Global Tech** Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Wal