Walmart is looking to architect and build secure, scalable, and resilient systems that process large datasets and power AI/ML-driven applications, leveraging expertise in Java, Kubernetes, SQL, Kafka, BigQuery, and integrating with Computer Vision & Artificial Intelligence (CVAI) platforms to deliver robust solutions supporting next-generation business capabilities.
Requirements
- Expert-level proficiency in Java and microservices architecture.
- Hands-on experience with Kubernetes for orchestrating large-scale, resilient deployments.
- Proven experience designing and managing large datasets using SQL and BigQuery (or similar data warehouse technologies).
- Strong background in building secure, scalable data pipelines with Kafka.
- Experience integrating with AI/ML frameworks and CVAI systems for model serving and data processing.
- Familiarity with MLOps, AI/ML lifecycle management, and deploying ML models at scale is a plus.
- Demonstrated knowledge of security best practices, data privacy, and compliance in large data environments.
Responsibilities
- Architect, design, and implement scalable, secure back-end services and APIs using Java, with a focus on high-throughput and low-latency data processing.
- Develop, deploy, and manage microservices on Kubernetes, ensuring platform resilience, scalability, performance, and reliability.
- Design, optimize, and manage large-scale relational and analytical data models using SQL and BigQuery, supporting both operational and analytical workloads.
- Build and maintain real-time, secure data pipelines with Kafka, enabling scalable data ingestion and processing for AI/ML applications.
- Integrate back-end services with AI/ML pipelines and Computer Vision & Artificial Intelligence (CVAI) systems, supporting model training, inference, and continuous learning at scale.
- Implement robust security standards, including authentication, authorization, encryption, and vulnerability mitigation across all components.
- Ensure code quality, security, and performance through code reviews, testing, automation, and proactive monitoring.
Other
- 10+ years of experience in software engineering, with a strong focus on back-end development and demonstrated experience in technical leadership.
- Collaborate closely with UI Engineers, Data Scientists, ML Engineers, and CVAI teams to deliver end-to-end intelligent solutions.
- Mentor and guide junior engineers, promoting best practices in large-scale data processing, system design, security, and scalability.
- Help foster an environment of innovation, collaboration, and engineering excellence both within the team and with the extended organization.
- Collaborate with teams across the organization to identify common components, workloads, and best practices.
