Staff, Software Engineer-1
- Walmart
- 10 - 15 years
- Chennai
- 2 months ago
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Job Description
Position Summary... 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.
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
- Architect Data & AI Systems at Scale : Design large-scale, distributed data architectures capable of processing massive datasets, integrating AI-driven workflows, and supporting real-time and batch processing needs.
- Drive Agentic System Design and Execution : Architect, develop, and deploy AI Agents using LangGraph, LangChain, or similar frameworks enabling autonomous orchestration of data pipelines, analytics, and business workflows.
- Lead End-to-End Productionization of AI Agents : Own the full lifecycle build, containerize, deploy, and maintain Gen AI agents across environments using Kubernetes, Terraform, and CI/CD systems.
- Define and Enforce Engineering Standards : Set best practices around code quality, observability, scalability, and operational readiness for AI and data systems.
- Guide Data and AI Infrastructure Decisions : Lead design discussions for data modeling, system integrations, and infrastructure architecture on Google Cloud Platform (GCP) and related technologies.
- Enable Observability, Traceability & Reliability : Establish end-to-end monitoring and observability frameworks (e.g., Prometheus, Grafana, OpenTelemetry) for AI and data services, ensuring deep traceability of agentic interactions.
- Collaborate Across Teams and Domains :
Partner with Product, Data Science teams to align Gen AI initiatives with data engineering objectives ensuring production reliability and scalability.
- Mentor and Grow Engineers : Provide technical mentorship to senior and mid-level engineers, fostering a culture of innovation, ownership, and operational excellence.
- Champion Operational Efficiency : Identify and automate pain points in deployment, scaling, and monitoring. Drive continuous improvement in system reliability, performance, and developer productivity.
- Own System-Level Decision Making: Evaluate new technologies, frameworks, and design patterns across LLMs, MLOps and data infrastructure to guide the organization s technical direction.
What you will bring
- 10+ years of experience in Software Engineering , with significant focus on Data systems, AI integration, and distributed architectures .
- Deep expertise in Python , FastAPI , and distributed data frameworks like Spark .
- Solid understanding of Java or Scala for high-performance and backend workloads.
- Strong proficiency in agentic frameworks like LangGraph , LangChain , and familiarity with MCP (Model Context Protocol) .
- Proven experience building and deploying product-ready Gen AI agents integrated with LLMs and ML models .
- Expertise in Kubernetes (scaling, scheduling, service orchestration) and containerization practices.
- Proficiency with Terraform for cloud infrastructure provisioning and management.
- Deep understanding of CI/CD , automation , and cloud-native operations .
- Working knowledge of GCP (BigQuery, Cloud Run, Vertex AI, GCS).
- Strong experience designing for observability, monitoring, and traceability across microservices and AI agents.
- Familiarity with Airflow or equivalent for data orchestration.
- Competence in frontend development (React, Next.js) to deliver internal tools or agent interfaces.
- Strong grounding in data modeling , prompt engineering , and retrieval-augmented generation (RAG) patterns.
- Strategic mindset with the ability to balance technical depth and system-wide trade-offs .
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Walmart s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
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Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: WalmartLocation(s): Chennai+ View Contact
Keyskills: Computer science Business services Automation Backend Data modeling System design Scheduling Analytics Monitoring Python
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