Position Summary...

What you'll do...

Job Description Summary:

You have a deep interest and passion for technology. You have a passion to drive critical business initiatives with Data and CRM. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision- making and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.

About Team:
The Global CRM (GCRM) team is the backbone of the Walmart Marketplace ecosystem. We are responsible for architecting and scaling the global platform that powers the end-to-end seller journey. Our mission is to build seamless, high-performance systems that manage:

• Global Onboarding & Sales Funnels: Engineering robust pipelines to bring millions of diverse sellers onto our marketplace with minimal friction.
• Intelligent Activation Flows: Building automated, data-driven workflows that accelerate seller time-to-market and drive early-stage success.
• Full-Lifecycle Program Management: Designing complex tools and services that allow for the sophisticated management of seller programs at a massive global scale.

As part of GCRM, you will tackle distributed systems challenges, optimize global integrations, and define the architectural standards that empower our marketplace to thrive in multiple international markets. We operate at the intersection of high-scale engineering and strategic business growth, ensuring that every seller on our platform has the digital infrastructure they need to succeed.

What you'll do:

• Design, build, test, and deploy scalable, intelligent data solutions that support millions of Marketplace sellers—while laying the groundwork for Agentic AI systems that consume and act on this data.
• Partner with engineering, AI/ML, and product teams to ensure data services are discoverable, trustworthy, and consumable by next-gen AI agents and LLM-based systems.
• Collaborate across Marketplace engineering teams to contribute to a data-first, agent-aware architecture and foster a culture of innovation around intelligent automation.
• Engage with Product Management and Business teams to prioritize data products that will drive autonomous decision-making and context-rich recommendations.
• Build features that enable seamless integration between structured/unstructured data and downstream AI agents, enabling smarter responses, faster insights, and automation.
• Deploy and monitor products on cloud platforms with agent observability, telemetry, and auditability in mind.
• Develop and implement best-in-class data health monitoring, traceability, and context enrichment processes to ensure data used by agents is reliable and governed.
• Lead technical solutioning for full-lifecycle projects, with an eye on how data will power autonomous workflows, co-pilots, and multi-agent systems.

• Lead integrations of multiple system with Salesforce
• Able to design enterprise solutions where Salesforce is a primary system

What you'll bring:

• 10+ years of experience in development of enterprise solutions with a focus on scalable, fault-tolerant architectures.
• 2–3 years of hands-on experience with cloud platforms such as GCP or Azure, including services like BigQuery, Dataflow, Pub/Sub, or equivalent.
• Strong foundation in data engineering best practices and experience building complex data pipelines optimized for agent consumption.
• Experience designing and implementing semantic layers or knowledge graphs that could power data-aware AI agents.
• Proven experience in data modeling and architecture, with awareness of how data structures affect retrieval quality and contextual relevance for agents.
• Exposure to LLM-driven workflows, prompt templating, or orchestration tools (e.g., LangChain, LlamaIndex, CrewAI) is beneficial but not required.
• Understanding of data governance, including quality, access control, and lineage—especially in the context of agent auditability and trust.
• Experience writing clean, testable code in Python, Java, or Scala; experience with PySpark/Spark for distributed data processing.
• Demonstrated ability to write optimized, scalable SQL and to work with large datasets across cloud-native and open-source platforms.
• Expertise with tools like Kafka, Spark Streaming, Druid, and Presto, and how they interact in real-time or hybrid data systems.
• Solid software engineering experience across backend and frontend development.
• Advanced experience with Java and Spring Boot, along with strong experience using modern frontend frameworks such as React, Angular, or Vue.js.
• Experience working with SQL (Azure SQL) and NoSQL (Cosmos, Cassandra, MongoDB) databases in both backend services and Full Stack systems.
• Hands-on experience with Kafka, Docker/Kubernetes, and cloud platforms such as Azure, and GCP.
• A strong understanding of DevOps principles, CI/CD pipelines, system observability, and deployment patterns for applications with both frontend and backend components.
• A demonstrated ability to design and maintain scalable, reliable, high-performing Full Stack applications.
• Success building enterprise-level systems that include both user-facing interfaces and backend services.
• Strong experience with API design, performance optimization, and scalable solution development across the full stack

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.

Work
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 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.

Minimum Qualifications:Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area.

Preferred Qualifications...

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

Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area

Primary Location...

BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India