Senior, Software Engineer

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Design, build, and operate large-scale distributed platform services and APIs using Java, Python, Kubernetes, and cloud-native technologies. Contribute to Spark-based data engineering, AI and agentic platform capabilities, reliability engineering, observability, incident response, and secure enterprise integrations. Guide architecture and engineering standards, mentor engineers, partner with data and ML teams, and establish processes for a newly formed platform organization.
Summary Generated by Built In
Position Summary...

What you'll do...

About Team

GDF (Global Data Foundation) is part of Walmart's 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 You'll 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.

What You'll 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.

• 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.


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.

 

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

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.

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.

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, 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 - CertificationPrimary Location...Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India

Skills Required

  • 5-8 years of professional software engineering experience building and operating large-scale distributed platforms
  • Strong proficiency in Java and Python
  • Operational Excellence and Engineering Excellence experience, including SLO/SLA ownership and incident management
  • Bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience
  • Experience with microservices, distributed systems, event-driven patterns, API design, service contracts, and enterprise integration
  • Experience with cloud-native engineering, CI/CD, containerization, Kubernetes or equivalent orchestration, infrastructure automation, and production operations
  • Working-level Apache Spark experience and familiarity with Hadoop/HDFS, Hive, or Kafka
  • Hands-on exposure to AI, GenAI, LLM tooling, agentic workflows, embeddings, vector search, and MLOps practices
  • Knowledge of reliability engineering, observability, distributed tracing, logging, metrics, alerting, incident response, capacity planning, and fault tolerance
  • Knowledge of security, privacy, authentication, authorization, data protection, and secure API design
  • Ability to translate ambiguous technical and business problems into execution plans
  • Ownership mindset, technical judgment, autonomy, and ability to work in a 0-to-1 environment
  • Master's degree in computer science, information technology, engineering, information systems, cybersecurity, or a related area
  • One year's experience leading information security or cybersecurity projects
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices
  • Cisco certification

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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