Senior, Software Engineer
Walmart · Bengaluru · onsite · Posted today
Undisclosed5–8 yrsfulltimeSourced from
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About this role
Position Summary... What youll do...
Minimum Qualifications... Option 1: Bachelors 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. Preferred Qualifications... Master s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year s experience leading information security or cybersecurity projects, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart s accessibility standards and guidelines for supporting an inclusive culture. Information Technology - CISCO Certification - Certification Primary Location... Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India
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.
- 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 Senior 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: 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.
- Bachelors or Masters 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.
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 [Bangalore/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.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 2: 5 years experience in software engineering or related area.
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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.
Sourced from naukri
Skills
Customer ExperienceAutomationDockercomputer engineeringapisapi designdata platformsdata infrastructureAnalyticsautonomous systemsData EngineeringcloudCyber SecurityArchitectureCiscoData PipelineBig DataArtificial Intelligence
About Walmart
Walmart
Retail
11.7k+
employees
2009
17 years old
Bangalore/Bengaluru, Karnataka
India
About
Walmart, the largest global retailer, emphasizes affordability and accessibility, servicing millions of customers weekly across numerous stores worldwide.
Industries
RetailAnalytics & KPO
Employee ratings
3,129 reviews
3.5/ 5
Culture
3.4
Career growth
2.8
Work-life
3.4
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