About the team
The Reliability Engineering and Operations 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
What You’ll Do
- Analyse operational and reliability data to identify patterns, root causes, and opportunities for improvement in system performance and incident management.
- Develop predictive models and machine learning algorithms to forecast outages, detect anomalies, and optimize maintenance schedules.
- Build and maintain dashboards and real-time monitoring tools to visualize key metrics, system health, and incident trends.
- Collaborate with Site Reliability Engineers (SREs), operations specialists, and business stakeholders to translate operational challenges into actionable analytics projects.
- Drive continuous improvement by recommending data-driven process optimizations and automating alerts for proactive incident prevention.
- Support incident lifecycle management by providing analytical insights during detection, recovery, and post-mortem phases.
- Leverage AI Agent frameworks and tools to automate operational workflows, enhance monitoring, and enable intelligent incident response.
- Participate in the design, evaluation, and deployment of agentic AI solutions for reliability and operations use cases, including workflow orchestration, plan execution, and response synthesis.
What You’ll bring
- 10+ years of experience in data science, analytics, or related fields.
- Strong analytical and problem-solving skills, with experience in extracting actionable insights from complex datasets.
- Proficiency in Python or R for data analysis and machine learning; experience with SQL for data querying and manipulation.
- Experience with data engineering tasks, including data cleaning, transformation, and integration from multiple sources.
- Familiarity with cloud platforms (e.g., GCP, Azure, AWS), big data tools (e.g., Spark, BigQuery), and ML frameworks (e.g., scikit-learn, TensorFlow, MLFlow).
- Ability to build dashboards and visualizations using tools such as PowerBI, Tableau, or Looker.
- Knowledge of reliability engineering concepts, incident management, and operational analytics best practices.
- Exposure to AI Agent frameworks, agentic architectures, or conversational AI platforms (e.g., People Domain Agent, RAG pipelines, workflow orchestration).
- Experience designing, evaluating, or deploying agentic AI solutions for operational automation or analytics.
- Excellent communication skills to present findings and recommendations to technical and non-technical audiences.
- Initiative to promote data quality, question existing processes, and advocate for lean, efficient operations.
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.
We’re back to office
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 of all people.
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...Building 10 (sez), Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , IndiaSkills Required
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 4 years of analytics experience; or equivalent qualifying experience
- Master’s degree in a related field plus 2 years of analytics experience; or equivalent qualifying experience
- Six years of experience in analytics or a related field
- Strong analytical and problem-solving skills
- Proficiency in Python or R for data analysis and machine learning
- Experience with SQL for data querying and manipulation
- Experience cleaning, transforming, and integrating data from multiple sources
- Familiarity with cloud platforms, big data tools, and machine learning frameworks
- Experience building dashboards and visualizations with Power BI, Tableau, or Looker
- Knowledge of reliability engineering, incident management, and operational analytics
- Exposure to AI agent frameworks, agentic architectures, or conversational AI platforms
- Experience designing, evaluating, or deploying agentic AI solutions
- Excellent communication skills with technical and non-technical audiences
- Initiative to promote data quality and operational efficiency
- 10+ years of experience in data science, analytics, or related fields
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.
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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.
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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.
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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
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.
