SENIOR, SOFTWARE ENGINEER

Position Summary...

What you'll do...

About Team

You will be part of an Engineering team that builds and operates scalable, intelligent data platforms enabling analytics, automation and AI-driven decision-making across the organization for Fintech space. 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

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

• Architect Data & application 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 System Design and Execution: Architect, develop, and deploy application and data processing engine — enabling autonomous orchestration of data pipelines, analytics, and business workflows.
• Lead End-to-End Productionization : Own the full lifecycle — build, containerize, deploy, and maintain apps across environments using Kubernetes, Terraform, and CI/CD systems, spark.
• Define and Enforce Engineering Standards: Set best practices around code quality, observability, scalability, and operational readiness for AI and data systems.
• Guide Data and 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 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  and data infrastructure to guide the organization’s technical direction.

What you will bring

• 6+ years of experience in Software Engineering, with significant focus on Data systems, integration, and distributed architectures.
• Deep expertise in Scala and distributed data frameworks like Spark data processing.
• Solid understanding of Scala or Java for high-performance and backend workloads.
• 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.
• Knowledge on Airflow or equivalent for data orchestration.
• Familiarity with large language models (LLM)
• Experience with retrieval-augmented generation (RAG) systems
• Strategic mindset with the ability to balance technical depth and system-wide trade-offs.

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.

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 [Chennai] office for daily work, with the flexibility for associates to manage their personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

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.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...