Staff, Software Engineer

Position Summary...

What you'll do...

About the Team

The Reliability Engineering and Operations (REO) Reporting & Analytics Team is part of Walmart's Developer Tools and Infrastructure organization. Our mission is to drive operational excellence and system reliability across Walmart's technology landscape. We empower engineering teams with actionable insights, predictive analytics, and automated reporting to proactively identify issues, optimize performance, and minimize downtime. By leveraging advanced data science, AI agent frameworks, and robust monitoring tools, we foster a culture of continuous improvement and shared accountability. Our collaborative approach ensures that developers, SREs, and business stakeholders have the data and tools needed to deliver resilient, high-performing solutions at scale.

We are building the next generation of intelligent reliability platforms — combining real-time observability data, incident analytics, and AI-driven automation to transform how Walmart monitors, diagnoses, and resolves operational issues across thousands of services and millions of transactions daily.

What You'll Do

• Design, develop, and own full-stack reliability and analytics applications end-to-end — from responsive, data-rich front-end interface like React to scalable backend services (Node.js, Python, Java/Spring Boot) and robust data layers — delivering seamless developer and SRE experiences
• Build interactive, real-time dashboards and self-service analytics portals with modern front-end frameworks, enabling engineering teams to visualize reliability metrics, incident trends, and operational health at a glance
• Design and own core backend platform capabilities — RESTful and GraphQL APIs, data ingestion pipelines, metric aggregation engines, and AI-powered anomaly detection systems — enabling SRE and engineering teams to gain actionable reliability insights with minimal friction
• Architect and implement AI agent-based workflows powered by large language models (LLMs) for automated incident triage, root cause analysis, and predictive alerting across Walmart's infrastructure
• Build and evolve Retrieval-Augmented Generation (RAG) pipelines that connect LLMs to operational knowledge bases — runbooks, incident histories, post-mortems, and monitoring data — enabling intelligent, context-aware troubleshooting and decision support
• Design and integrate Model Context Protocol (MCP) servers to seamlessly connect AI agents with enterprise observability tools, incident management systems, monitoring APIs, and internal data platforms for end-to-end automated workflows
• Define and implement the platform's data and semantic layer, unifying heterogeneous operational data sources (metrics, logs, traces, incidents, change records) into a coherent, queryable representation for both human analysts and AI agents
• Establish and uphold non-functional requirements — query latency SLAs, data freshness guarantees, pipeline throughput targets, and availability contracts — as first-class platform standards for all reporting and analytics services
• Own observability and explainability as platform primitives — structured logging, audit trails, response attribution, and governance metadata that make AI-generated insights trustworthy, auditable, and actionable in production
• Build predictive analytics models and automated reporting systems that proactively surface reliability risks, capacity trends, and performance degradation patterns before they impact customers
• Partner across SRE, platform engineering, product, and data science teams to translate operational data into reliable, well-documented APIs and dashboards that internal teams can build against confidently
• Mentor engineers, lead design reviews, and build a culture of data-driven reliability — shared analytics infrastructure, stable interfaces, and reusable patterns over per-team duplication
• Track, analyze, and provide guidance to the team for resolving critical tech debts and improving engineering excellence metrics across the SDLC
• Deploy and manage containerized applications and data pipelines using Docker and Kubernetes at Walmart scale
• AI Engineering & Integration: Leverage AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, or similar tools to improve software development productivity, code quality, testing, debugging, and documentation
• Generative AI: Develop and integrate Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer and operational tooling
• RAG & MCP: Build and maintain Retrieval-Augmented Generation (RAG) applications and Model Context Protocol (MCP) servers to integrate LLMs with enterprise observability data, incident management tools, APIs, and external systems

What You'll Bring

• 10+ years of software engineering experience, with meaningful depth in full-stack development, platform engineering, data infrastructure, observability systems, or reliability/SRE tooling
• Proven full-stack expertise — strong proficiency in modern front-end frameworks like React and back-end technologies (Node.js, Python/FastAPI/Flask, Java/Spring Boot, or Go), with the ability to own features from UI to database
• Hands-on experience designing and shipping production LLM-based systems — agent orchestration, tool use, RAG pipelines, multi-step reasoning, MCP integrations, or structured output generation
• Strong experience with data engineering and analytics platforms — building ETL/ELT pipelines, working with data warehouses (BigQuery, Snowflake, or equivalent), and designing real-time and batch reporting systems
• Strong software engineering fundamentals — clean API design (REST, GraphQL), distributed systems patterns, async execution, fault tolerance, and observability
• Proficiency in JavaScript/TypeScript and Python, with familiarity in the AI/ML and data engineering ecosystem; comfort reasoning about latency, throughput, and cost tradeoffs in data-intensive and inference-heavy workloads
• Experience with relational databases (PostgreSQL, MySQL), NoSQL stores (MongoDB, Cassandra), and caching layers (Redis) in production environments
• Experience with monitoring and observability tools (Prometheus, Grafana, Splunk, Datadog, or equivalent) and understanding of SRE principles (SLOs, SLIs, error budgets)
• Deep appreciation for architectural principles — separation of concerns, dependency inversion, layered design, and enforcement of contracts through code rather than convention
• Experience designing extensible plugin or extension systems with stable, versioned contracts and well-defined conformance expectations
• Experience owning and operating multi-tenant analytics systems with strict data isolation and access control requirements
• Excellent communication skills with the ability to translate complex operational data into clear, actionable insights for diverse stakeholders (engineers, SREs, leadership)

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 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

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...