Job Location: Bangalore
We are looking for Full-Stack Data Scientists to join us in building world class solutions at Walmart scale. You will play a key role in developing, automating, scaling, and implementing solutions that tackle diverse business problems. There are ample opportunities to enrich your knowledge and skillset that will accelerate your ML Engineering career.
About Walmart Global Tech.
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
Team and Position Summary:
Data Strategy & Insights (DSI)
This is the team building the data foundation infrastructure, core platform and services that drive Walmart US business. The objective of the DSI organization is to build the best in class engineering and data science solutions that power the best shopper experience for our customers, adhering to the Walmart philosophy – Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels – in-store, on the mobile app and websites.
Walmart’s Machine Learning Engineering (MLE) team is seeking a motivated, curious, and diligent Software Engineer to strengthen our machine learning (ML) services deployed on Kubernetes. This is a role that combines machine learning solutioning, technical strength, product focus and business understanding. Our team works closely with Data Scientists, App Developers and Product teams to architect the ML system, deploy ML models as real-time inferencing web services and/or batch inference jobs, scale the services to meet production needs, monitor the service health and predictive performance, and re-train the models as needed.
Position Responsibilities:
You may work on:
- Deploy and configurate Kubernetes components for production cluster, including API Gateway, Ingress, Service Mesh, ML Model Serving, Logging, Monitoring, Cron Jobs, etc.
- Manage and monitor the production services running in Kubernetes
- Research and experiment latest container technologies and continuously evolve the production Kubernetes environment
- Standardize, automate, and strengthen the CI/CD pipeline for faster, more consistent builds and deployments
- Contribute to the ways of working standardization and operation playbooks
About you:
- You are excited about building and operating distributed systems at scale in production
- You embrace lifelong learning – always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others
- You are thorough and detail oriented. When debugging issues, you never settle without getting the root cause
- You have a history of collaboration, openness, honesty, timely decision making and communicating clearly in both verbal and written forms
Must-have experiences
- Experience creating and deploying containerized applications
- Knowledge of Kubernetes fundamentals. Ability to create, configurate, maintain, and debug deployments in Kubernetes cluster
- Master at least one programming language. Our services are mostly written in Python and JavaScript
- Ability to use observability tools to look at logs and metrics to diagnose issues within that system. We use Splunk, Prometheus, and Grafana.
- Ability to not only work independently, but also work closely and pair with your own teammates, and form strong relationships with other teams quickly
- Master’s degree in Computer Science, Computer Engineering, or related fields is preferred
Supplemental skills :
- Knowledge of Linux fundamentals and experience using shell scripting
- Knowledge of advanced Kubernetes concepts and resources such as resource management and budgeting
- Experience using Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes cluster
- Experience in scaling infrastructure to support high-throughput data-intensive applications
Years Of Experience: 3 to 6 Years
Education/Qualification: Any Graduate/PG
Walmart Inc. is an Equal Opportunity 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 diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
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