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Staff, Software Engineer

Walmart · Posted Oct 8

Retail, e-commerce, grocery, pharmacy, and membership warehouse services

Bangalore, Karnataka, IndiaFull-timeOnsiteLead/Staff8+ years₹65.0L–₹1.0Cr yearly58 applicants
RetailE-CommerceSupermarketSupply ChainGroceryPublic Company
Full time

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About the role

GDF (Global Data Foundation) is part of Walmart's AI & Data organization, 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. The 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 depend on daily. This Staff Software Engineer role designs, builds, and operates distributed platform services and APIs in Java and Python on Kubernetes, adds AI/GenAI and agentic capabilities, and sets technical direction and engineering standards for the team.

What you will do

  • Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.
  • Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and promoting a belonging mindset in the workplace.
  • Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.
  • Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.
  • 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 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 Staff 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

JavaPythonKubernetesGoC++ScalaSparkHadoopHDFSHiveKafkaMicroservicesDistributed SystemsEvent-Driven ArchitectureAPI DesignCI/CDContainerizationGenAILLMAgentic WorkflowsEmbeddingsVector SearchMLOpsObservabilityDistributed Tracing

What the employer is looking for

  • 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.
  • Bachelor's or Master's 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.

Benefits and support

  • incentive awards for your performance
  • maternity and parental leave
  • PTO
  • health benefits
  • flexibility for associates to manage their personal lives

About Walmart

Walmart logo

Walmart

Company website
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Walmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. As one of the world's largest companies by revenue, it serves millions of customers daily through physical stores and robust e-commerce platforms. The company is driven by a commitment to everyday low prices and an expanding suite of digital and convenience-focused services.

Industry
Retail
Company size
2000000+ employees
Founded
1962
Location
Bentonville, Arkansas, USA
Funding stage
Public Company

Leadership

JF
John Furner

President and CEO

JD
John David Rainey

Executive Vice President and Chief Financial Officer

SK
Suresh Kumar

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

SD
Seth Dallaire

Executive Vice President and Chief Growth Officer

DG
David Guggina

President and CEO, Walmart U.S.

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