Software Engineer

Job highlights

• Outlined below are the required minimum qualifications for this position
• strong proficiency in Java and Python is required -. comfortable writing,reviewing,and debugging production code,not just directing others
• Preferred Qualifications
• Outlined below are the optional preferred qualifications for this position

Position Summary... What youll do...

About Team

GDF (Global Data Foundation) is part of Walmarts AI Data organization - the team building the foundational data platforms that power AI, analytics, and decision-making across every Walmart banner and geography, from supply chain and merchandising to customer experience and enterprise AI agents.

Our newly created platform team is chartered with building next-generation data infrastructure at Walmart scale: reliable, high-throughput data pipelines, distributed processing systems, and platform capabilities that downstream teams across Walmart depend on every day.

What Youll Do

• Design, build, and operate distributed platform services and APIs using Java and Python, applied

against Kubernetes or equivalent cloud-native infrastructure.

• Apply domain-oriented design, system design, and low-level design (LLD) rigor to ambiguous platform

problems - evaluating dependencies, trade-offs, failure modes, scalability, cost, and long-term

durability before writing a line of code.

• Flex into data engineering work when needed: contribute directly to Spark-based data pipelines and

processing jobs, working comfortably in GDFs data engineering codebase alongside platform work.

• Build AI, GenAI, and agentic-powered platform capabilities: intelligent developer tooling, workflow

automation, agentic services, and AI-assisted operational tooling (monitoring, incident triage, capacity

planning).

• Own platform reliability, scalability, and observability - service-level objectives, distributed tracing,

alerting, and incident response for services you build, with a strong Operational Excellence /

Engineering Excellence discipline.

• Guide architecture and system design decisions across microservices, event-driven systems, and

enterprise integrations, with an explicit eye toward how platform choices affect downstream data

engineering workloads.

• Partner with data engineers, data scientists, and ML engineers to ensure platform services expose the

right primitives for data pipelines, feature stores, and model-serving paths.

• Establish engineering standards through architecture reviews, design reviews, code reviews, and

production readiness reviews for a team building process from scratch.

• As a Staff engineer, set technical direction and best practices within your team and technical domain

without needing a management title - mentor other engineers and influence GDFs broader platform

engineering standards.

• Continuously evaluate emerging platform, cloud, and AI/agentic technologies, adopting them

pragmatically where they improve reliability, productivity, or business value.

What Youll Bring

• Genuinely hands-on coding: 8+ years of professional software engineering experience building and

operating large-scale distributed platforms; strong proficiency in Java and Python is required -

comfortable writing, reviewing, and debugging production code, not just directing others. Additional

experience with Go, C++, or Scala is a plus.

• Operational Excellence (OE) and Engineering Excellence (EE) mindset is a required skill, not a

nice-to-have: SLO/SLA ownership, incident management and blameless post-incident reviews,

proactive reliability and quality metrics, and continuous improvement built into how you ship, not

bolted on afterward.

• Bachelors or Masters degree in Computer Science, Engineering, or a related technical field, or

equivalent practical experience.

• Deep experience with microservices architectures, distributed systems, event-driven patterns, API

design, service contracts, and enterprise system integration - backed by strong system design,

domain-oriented design (DDD), and low-level design (LLD) skills, with demonstrated ownership of

production code and the judgment to evaluate trade-offs, failure modes, scalability, and cost.

• Deep understanding of cloud-native engineering practices - CI/CD, containerization, Kubernetes or

equivalent orchestration, infrastructure automation, and production operations.

• Strong exposure to Big Data / data engineering technologies - Spark required at a working level, with

familiarity in Hadoop/HDFS, Hive, or Kafka - enough to flex into data engineering work confidently, not

just integrate with it from a distance.

• Full exposure to AI and Agentic technologies: hands-on experience integrating model APIs and

GenAI/LLM tooling, building or operating agentic workflows (tool-calling agents, multi-step

autonomous systems), working with embeddings/vector search, and applying MLOps practices

(feature stores, model lifecycle, retraining pipelines) - not just conceptual awareness.

• Strong knowledge of reliability engineering - observability, distributed tracing, logging, metrics,

alerting, incident response, capacity planning, and fault tolerance for large-scale systems.

• Strong grounding in security, privacy, and enterprise engineering practices, including authentication,

authorization, data protection, and secure API design.

• Proven ability to translate ambiguous technical/business problems into clear execution plans,

particularly within a newly formed team without fully established process.

• Strong ownership mindset and technical judgment; comfortable operating with high autonomy in a

0-to-1 environment.

About Walmart Global Tech.

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

Benefits

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Belonging

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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: Bachelors 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... Tower 1, Part Of 1st, 2nd To 4th Flrs, Intl Tech Park Radial Road (radial It Park Pvt Ltd), , India

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.