Back
Walmart Global Tech logo

Senior, Software Engineer

Walmart Global Tech · Posted Oct 28

Software development, cloud infrastructure, and retail technology services for Walmart

Bangalore, Karnataka, IndiaFull-timeOnsiteSenior Level5–8 years₹48.0L–₹75.0L yearly49 applicants
Information TechnologyRetail TechnologySoftware DevelopmentCloud ComputingArtificial IntelligencePublic Company
Be an early applicantFull time

Get a personal compatibility score

Add a resume for personal matches

About the role

GDF (Global Data Foundation) is part of Walmart's AI & Data organization, building foundational data platforms that power AI, analytics, and decision-making across Walmart banners and geographies. A newly created platform team is building next-generation data infrastructure at Walmart scale, including high-throughput data pipelines, distributed processing systems, and platform capabilities used by downstream teams. This senior software engineer will design and operate distributed platform services and APIs in Java and Python on Kubernetes, flex into Spark data engineering, and build AI/GenAI/agentic platform capabilities while owning reliability and observability.

What you will do

  • Design, build, and operate distributed platform services and APIs using Java and Python, applied against Kubernetes or equivalent cloud-native infrastructure.
  • Flex into data engineering work when needed: contribute directly to Spark-based data pipelines and processing jobs, working comfortably in GDF's 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 Senior engineer, set technical direction and best practices within your team and technical domain without needing a management title - mentor other engineers and influence GDF's broader platform engineering standards.
  • Continuously evaluate emerging platform, cloud, and AI/agentic technologies, adopting them pragmatically where they improve reliability, productivity, or business value.

Skills used in this role

What the employer is looking for

  • Genuinely hands-on coding: 5-8 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.
  • 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.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Strong experience with microservices architectures, distributed systems, event-driven patterns, API design, service contracts, and enterprise system integration.
  • Strong 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.
  • Working 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.
  • Ability to translate ambiguous technical/business problems into clear execution plans, particularly within a newly formed team without fully established process.
  • Good ownership mindset and technical judgment; comfortable operating with high autonomy in a 0-to-1 environment.
  • Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering or related area.
  • Option 2: 5 years’ experience in software engineering or related area.

Benefits and support

  • incentive awards for your performance
  • maternity and parental leave
  • PTO
  • health benefits

About Walmart Global Tech

Walmart Global Tech is the technological powerhouse and engineering arm of Walmart Inc., responsible for building and managing foundational technologies, cloud infrastructure, and software systems. The organization powers global retail operations across Walmart U.S., Sam's Club, and Walmart International, delivering customer experiences and enterprise services worldwide. Operating across multiple global hubs, it unites engineering, data science, product design, and artificial intelligence to digitally transform retail.

Industry
Information Technology
Company size
25000+ employees
Founded
2011
Location
Bentonville, Arkansas, USA
Funding stage
Public Company

Leadership

SK
Suresh Kumar

Executive Vice President, Global Chief Technology Officer and Chief Development Officer

DD
Daniel Danker

Executive Vice President, AI Acceleration, Product and Design

SR
Sanjay Radhakrishnan

Senior Vice President and Tech Operating Partner, Walmart International

Apply