Software Engineer

Walmart; Chennai District; Híbrido; INR 4.200.000 - 7.000.000; Jornada completa

Descripción de la vacante

Walmart Global Tech in Chennai seeks a Staff Engineer to design, build, and operate large-scale distributed platform services. You will shape architecture across microservices, event-driven patterns, and data pipelines while mentoring peers and driving operational excellence.

You will work in a team building cloud-native infra, collaborating with ML/AI teams, and ensuring scalable, secure, and observable systems for Walmart’s enterprise data ecosystem.

Formación

• 8+ years of professional software engineering for large-scale distributed platforms.
• Strong proficiency in Java and Python; additional languages are a plus.
• Experience with microservices, distributed systems, and cloud-native design.

Responsabilidades

• Design, build, and operate distributed platform services and APIs on Kubernetes or cloud-native infra.
• Guide architecture decisions and ensure platform reliability, observability, and cost control.
• Collaborate with data scientists, ML engineers, and data engineers to enable data pipelines and feature stores.
• Mentor engineers, set technical direction, and enforce production readiness across teams.

Conocimientos

Java

Python

Go

C++

Scala

Microservices

Distributed systems

DDD/LLD

API design

Cloud-native engineering

Kubernetes

Spark

Big Data

GenAI/LLM tooling

MLOps

Observability

Security & privacy

Educación

Bachelor or Master degree in CS/Engineering

Herramientas

Kubernetes

Spark

Hadoop/HDFS

Kafka

CI/CD

Descripción del empleo

Position Summary

Position Summary...

What youll do

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

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.

Belonging

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.

• 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