About the Team:
This position is for the Replenishment operations team in US Omni Tech, where we perform SRE operations for 30 + Business critical applications ensuring that that right item with right quantity reached the stores at the right time. We also are moving on a very fast pace towards leveraging the power of AI in gaining high operational efficiency.
What you will do:
- Data Pipeline Reliability: Design, implement, and maintain scalable, fault-tolerant data pipelines processing high-volume datasets.
- Airflow & DAG Management: Manage Apache Airflow environments, optimize DAGs (Directed Acyclic Graphs), and ensure efficient scheduling, monitoring, and alerting for data workflows.
- Observability & Monitoring: Build and enhance observability platforms using tools like Prometheus, Grafana, ELK Stack, or similar to provide real-time insights into system health, performance, and data quality.
- Incident Management: Lead troubleshooting, root cause analysis, and post-incident reviews for data platform issues. Implement automated remediation strategies.
- Infrastructure as Code (IaC): Use tools like Terraform, Kubernetes, or Docker to manage and scale cloud-based data infrastructure (GCP/Azure).
- AI/ML Integration: Collaborate with data science teams to operationalize AI/ML models, ensuring reliable deployment, monitoring, and performance tuning.
- Proactive Optimization: Continuously improve system performance, cost efficiency, and reliability through automation, capacity planning, and chaos engineering practices.
- Documentation & Best Practices: Establish SRE standards, runbooks, and disaster recovery plans for data platforms.
What you will bring :
- 10+ years of Total IT experience and 5+ years of experience in SRE, DevOps, or data engineering roles with a focus on large-scale data systems.
- Strong proficiency in Python for automation, scripting, and tool development.
- Hands-on experience with Apache Airflow (DAG creation, management, scaling).
- Expertise in observability tools: Prometheus, Grafana, Datadog, Splunk, or similar.
- Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
- Knowledge of data pipeline technologies: Apache Spark, Kafka, Snowflake, BigQuery, or equivalent.
- Familiarity with AI/ML concepts and experience supporting ML pipelines in production.
- Strong understanding of SRE principles: SLIs/SLOs, error budgets, toil reduction, and blameless postmortems.
Preferred:
- Experience with MLOps tools (MLflow, Kubeflow) and model monitoring.
- Knowledge of data governance, security, and compliance frameworks.
- Contributions to open-source projects or public tech talks/blog posts in relevant dom
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.
Flexible, hybrid work
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.
Minimum Qualifications:Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 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, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related areaPrimary Location...Tower 1, Part Of 1st, 2nd To 4th Flrs, Intl Tech Park Radial Road (radial It Park Pvt Ltd), , IndiaSkills Required
- 10+ years of total IT experience and 5+ years in SRE, DevOps, or data engineering roles focused on large-scale data systems
- Strong proficiency in Python for automation, scripting, and tool development
- Hands-on experience with Apache Airflow (DAG creation, management, scaling)
- Experience with observability tools (Prometheus, Grafana, Datadog, Splunk, ELK Stack)
- Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker)
- Experience with Infrastructure as Code (Terraform)
- Knowledge of data pipeline technologies (Apache Spark, Kafka, Snowflake, BigQuery)
- Familiarity with AI/ML concepts and experience supporting ML pipelines in production
- Strong understanding of SRE principles: SLIs/SLOs, error budgets, toil reduction, blameless postmortems
- Minimum Qualifications: Bachelor's degree in CS or related + 4 years' experience OR 6 years' experience in software engineering
- Experience with MLOps tools (MLflow, Kubeflow)
- Knowledge of data governance, security, and compliance frameworks
- Master's degree in CS or related (preferred)
- Contributions to open-source projects or public tech talks/blog posts
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
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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.
