Senior, Software Engineer
Walmart · Chennai · 6+ yrs experience · Posted 2026-06-22
Tech stack: AWS, Azure, Docker, Express, GCP, GraphQL, JavaScript, Kubernetes, Node.js, React, TypeScript
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About the role
As part of Walmart Global Tech's Supply Chain Platforms within US OMNI AND PLATFORMS TECH, the Atlas team plays a critical role in powering Walmart's supply chain — ensuring products move efficiently from suppliers to stores and to customers' hands. We build intelligent, high-throughput platforms that handle inventory management, demand sensing, order fulfillment, and logistics orchestration at Walmart scale. We innovate to lower the operational cost, provide greater value to the business and build the best in class experience to our Business Partners and Customers.
Responsibilities:
- Design and develop high-performance, accessible web applications using React JS, Javascript, Typescript, HTML & CSS.
- Build and maintain Node.js-based services to aggregate, transform, and serve data to UI clients.
- Build lightweight Express.js / Fastify services for API proxy, session management, and server-side logic.
- Design and implement RESTful and GraphQL APIs optimized for frontend consumption.
- Write comprehensive unit, integration, and E2E tests using Jest, React Testing Library, and Playwright.
- Containerize Node.js services with Docker and deploy on Kubernetes (WCNP / K8s).
- Design with a platform-first mindset — designing shared and extensible capabilities that empower multiple teams to move faster without duplicating effort.
- Integrate AI/ML capabilities — embed ML model inference, feature pipelines, or GenAI features into production services.
- Build AI-powered UI features such as intelligent search and conversational chat interfaces
- Lead Technical Design Reviews and mentor junior engineers across the team.
- Own CI/CD pipelines using Concord, KITT, and Looper, ensuring reliable deployments to production.
- Ensure Operational Excellence — set up observability (dashboards, alerts) and participate in on-call rotations.
- Collaborate cross-functionally with Product, Data Engineering, and Infrastructure teams to deliver impactful supply chain capabilities.
- Lead application tech stack upgrades and adoption of platform design solutions at a faster pace.
- Maintain high standards for observability — structured logging and metrics (Prometheus/Grafana).
- Champion a culture of continuous innovation — actively identify and propose improvements to development workflows, and supply chain processes that reduce friction and create measurable business value.
- Actively adopt and advocate for AI coding tools like Wibey to accelerate feature delivery, reduce cycle time, and improve code quality across the team.
- Able to troubleshooting complex problems quickly and efficiently in a high-impact environment.
Qualifications:
- Engineering degree in Computer Science or related technical field.
- 5.5 years - 10 years of relevant experience in building cloud based highly resilient and scalable systems.
- Sound technical knowledge in UI Frameworks – Javascript, Typescript, React, HTML, CSS, Nodejs, Express js and Webpack.
- Good understanding of Software Fundamentals, programming techniques, patterns, Web technologies, Security, Problem Solving and Agile Principles.
- Strong exposure to cloud infrastructure, such as Azure, GCP, or AWS and containerisation ecosystem such as Docker, Kubernetes.
- Experience in calling and integrating ML inference APIs.
- Ability to troubleshoot issues quickly and provide technical solutions to fix those issues.
- Exceptional communication and interpersonal skills - including negotiation, facilitation, and consensus building skills.
- AI/ML Exposure - Integrating ML model APIs / inference endpoints into production services; experience with GenAI tool adoptions; familiarity with prompt engineering patterns relevant to UI interactions; building AI chat interfaces.
- Good working experience and functional understanding in Supply Chain / e-commerce domain.
- A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
Qualifications
- Engineering degree in Computer Science or related technical field.
- 5.5 years 10 years of relevant experience in building cloud based highly resilient and scalable systems.
- Sound technical knowledge in UI Frameworks
- Javascript, Typescript, React, HTML, CSS, Nodejs, Express js and Webpack.
- Good understanding of Software Fundamentals, programming techniques, patterns, Web technologies, Security, Problem Solving and Agile Principles.
- Strong exposure to cloud infrastructure, such as Azure, GCP, or AWS and containerisation ecosystem such as Docker, Kubernetes.
- Experience in calling and integrating ML inference APIs.
- Ability to troubleshoot issues quickly and provide technical solutions to fix those issues.
- Exceptional communication and interpersonal skills - including negotiation, facilitation, and consensus building skills.
- AI/ML Exposure Integrating ML model APIs / inference endpoints into production services; experience with GenAI tool adoptions; familiarity with prompt engineering patterns relevant to UI interactions.
- building AI chat interfaces.
- Good working experience and functional understanding in Supply Chain / e-commerce domain.
- A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
Responsibilities
- Design and develop high-performance, accessible web applications using React JS, Javascript, Typescript, HTML & CSS.
- Build and maintain Node.js-based services to aggregate, transform, and serve data to UI clients.
- Build lightweight Express.js / Fastify services for API proxy, session management, and server-side logic.
- Design and implement RESTful and GraphQL APIs optimized for frontend consumption.
- Write comprehensive unit, integration, and E2E tests using Jest, React Testing Library, and Playwright.
- Containerize Node.js services with Docker and deploy on Kubernetes (WCNP / K8s).
- Design with a platform-first mindset — designing shared and extensible capabilities that empower multiple teams to move faster without duplicating effort.
- Integrate AI/ML capabilities — embed ML model inference, feature pipelines, or GenAI features into production services.
- Build AI-powered UI features such as intelligent search and conversational chat interfaces
- Lead Technical Design Reviews and mentor junior engineers across the team.
- Own CI/CD pipelines using Concord, KITT, and Looper, ensuring reliable deployments to production.
- Ensure Operational Excellence — set up observability (dashboards, alerts) and participate in on-call rotations.
- Collaborate cross-functionally with Product, Data Engineering, and Infrastructure teams to deliver impactful supply chain capabilities.
- Lead application tech stack upgrades and adoption of platform design solutions at a faster pace.
- Maintain high standards for observability — structured logging and metrics (Prometheus/Grafana).
- Champion a culture of continuous innovation — actively identify and propose improvements to development workflows, and supply chain processes that reduce friction and create measurable business value.
- Actively adopt and advocate for AI coding tools like Wibey to accelerate feature delivery, reduce cycle time, and improve code quality across the team.
- Able to troubleshooting complex problems quickly and efficiently in a high-impact environment.