Senior, Software Engineer
Walmart · Posted Oct 13
Retail, e-commerce, grocery, pharmacy, and membership warehouse services
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 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. This role designs, builds, and operates distributed platform services and APIs in Java and Python on Kubernetes, contributes to Spark-based data pipelines, and builds AI, GenAI, and agentic-powered platform capabilities with strong reliability and observability ownership.
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.
- Apply system design and low-level design (LLD) rigor to platform problems - evaluating dependencies, trade-offs, failure modes, scalability, and cost before writing a line of code, with support from Staff/Principal engineers on the most ambiguous or cross-team problems.
- Flex into data engineering work when needed: contribute to Spark-based data pipelines and processing jobs, working directly 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 reliability, scalability, and observability for the services you build - service-level objectives, distributed tracing, alerting, and incident response - with a strong Operational Excellence / Engineering Excellence discipline.
- Contribute to architecture and system design decisions across microservices, event-driven systems, and enterprise integrations, with an eye toward how platform choices affect downstream data engineering workloads.
- Partner with data engineers, data scientists, and ML engineers to ensure the services you own expose the right primitives for data pipelines, feature stores, and model-serving paths.
- Participate actively in architecture reviews, design reviews, code reviews, and production readiness reviews for a team building process from scratch.
- As a Senior engineer, bring strong technical judgment to design and code reviews within your immediate team and area of ownership, mentor early-career engineers, and help raise the bar for engineering quality - without needing a formal management title.
- Stay current on emerging platform, cloud, and AI/agentic technologies, and propose where they could pragmatically improve reliability, productivity, or business value within your team's scope.
Skills used in this role
What the employer is looking for
- Genuinely hands-on coding: 5+ years of professional software engineering experience building and operating distributed platforms; strong proficiency in Java and Python is required - comfortable writing, reviewing, and debugging production code. 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.
- Solid experience with microservices architectures, distributed systems, event-driven patterns, API design, service contracts, and enterprise system integration - backed by solid system design and low-level design (LLD) skills, with demonstrated ownership of production code and the judgment to evaluate trade-offs, failure modes, scalability, and cost for the components you own.
- Solid understanding of cloud-native engineering practices - CI/CD, containerization, Kubernetes or equivalent orchestration, infrastructure automation, and production operations.
- Working 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.
- 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.
- Solid knowledge of reliability engineering - observability, distributed tracing, logging, metrics, alerting, incident response, capacity planning, and fault tolerance for large-scale systems.
- Solid grounding in security, privacy, and enterprise engineering practices, including authentication, authorization, data protection, and secure API design.
- Proven ability to translate reasonably well-scoped technical/business problems into clear execution plans, particularly within a newly formed team - escalating cross-team ambiguity to Staff/Principal engineers as needed.
- Strong ownership mindset and technical judgment; comfortable operating with autonomy within your team in a 0-to-1 environment.
Benefits and support
- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits
About Walmart
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
President and CEO
Executive Vice President and Chief Financial Officer
Executive Vice President, Global Chief Technology Officer and Chief Development Officer
Executive Vice President and Chief Growth Officer
President and CEO, Walmart U.S.
Recent coverage
The Washington Times
Walmart reiterates pledge against personalized pricing, disputes author's claims on AI, shelf labels2026-10-06
Walmart Corporate
Walmart Grants $15 Million to Feeding America® to Help Strengthen Food Access for Families Across the Country2026-09-30
Walmart Corporate
CITGO® joins the Walmart+ Gas Savings benefit as Walmart adds more member value2026-09-14
AP News
Walmart cautionary with 2026 expectations after sales growth slows2026-08-20