Position Summary...

We are seeking a seasoned Site Reliability Engineer (SRE) with deep expertise in managing data pipelines, orchestrating workflow engines (Apache Airflow), and building proactive observability platforms. This role is critical in supporting high-volume data applications, ensuring reliability, scalability, and performance across our data infrastructure. The ideal candidate will have strong Python development skills and a solid understanding of AI/ML workflows to enhance system intelligence and automation.

What you'll do...

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 area

Primary Location...

Tower 1, Part Of 1st, 2nd To 4th Flrs, Intl Tech Park Radial Road (radial It Park Pvt Ltd), , India