3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, build, and operate distributed platform services and APIs using Java and Python on Kubernetes or equivalent cloud-native infrastructure.
- Contribute to Spark-based data pipelines and processing jobs while working across platform and data engineering codebases.
- Build AI, GenAI, and agentic-powered developer tooling, workflow automation, agentic services, and operational tooling.
- Own reliability, scalability, observability, service-level objectives, distributed tracing, alerting, incident response, and capacity planning for developed services.
- Guide architecture, system design, microservices, event-driven systems, API contracts, and enterprise integrations.
- Partner with data engineers, data scientists, and ML engineers on platform primitives for data pipelines, feature stores, and model-serving paths.
- Establish architecture, design, code, and production-readiness review standards.
- Set technical direction and best practices across multiple teams, mentor engineers, and influence broader platform engineering standards.
Requirements
- At least 7 years of experience in software engineering or a related area, or a bachelor’s degree in a relevant field plus 5 years of experience.
- The role description also requests 12+ years of professional software engineering experience building and operating large-scale distributed platforms.
- Strong hands-on proficiency in Java and Python; experience with Go, C++, or Scala is preferred.
- Deep experience with microservices, distributed systems, event-driven patterns, API design, service contracts, enterprise integration, domain-oriented design, and low-level design.
- Experience with cloud-native engineering, containerization, Kubernetes or equivalent orchestration, infrastructure automation, and production operations.
- Working-level Spark experience and familiarity with Hadoop/HDFS, Hive, or Kafka.
- Hands-on experience integrating model APIs and GenAI/LLM tooling, building agentic workflows, using embeddings and vector search, and applying MLOps practices.
- Strong knowledge of observability, distributed tracing, logging, metrics, alerting, incident response, capacity planning, fault tolerance, security, privacy, authentication, authorization, data protection, and secure API design.
- Bachelor’s or master’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.
- Preferred candidates may hold a master’s degree with 3 years of related experience and may have experience with WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Benefits
- Performance-based incentive awards, maternity and parental leave, paid time off, and health benefits are offered.
- The role is based in Walmart’s Bangalore office for daily work, with flexibility for associates to manage personal lives.
Tech Stack
Categories
Data EngineeringDevOps
About Walmart
Walmart is a global omnichannel retailer that sells groceries, general merchandise, and services through Walmart and Sam's Club stores and online marketplaces for consumers and small businesses. Its model spans physical retail, e-commerce, advertising, and a vast supply chain, plus pharmacy, health, and financial services. Founded in 1962 and headquartered in Bentonville, Arkansas, Walmart Inc. is a public company on the NYSE (WMT) operating in the U.S. and multiple international markets.