20 hours ago
Chennai, 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 alongside platform engineering work.
- Build AI, GenAI, and agentic platform capabilities, including developer tooling, workflow automation, agentic services, and AI-assisted operational tooling.
- Own platform reliability, scalability, observability, service-level objectives, distributed tracing, alerting, capacity planning, and incident response.
- Guide architecture and system design across microservices, event-driven systems, enterprise integrations, and downstream data engineering workloads.
- 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 across multiple teams, mentor engineers, and influence broader platform engineering practices without a management title.
Requirements
- 12+ years of professional software engineering experience building and operating large-scale distributed platforms.
- Strong production coding, reviewing, and debugging proficiency in Java and Python; experience with Go, C++, or Scala is preferred.
- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related area and 5 years of software engineering experience, or 7 years of software engineering experience.
- Equivalent practical experience may substitute for the stated degree requirement.
- 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/vector search, and applying MLOps practices such as feature stores and model lifecycle management.
- Strong reliability engineering knowledge covering observability, tracing, logging, metrics, alerting, incident response, capacity planning, and fault tolerance.
- Knowledge of security, privacy, authentication, authorization, data protection, and secure API design.
- Ability to translate ambiguous technical and business problems into execution plans and operate with high autonomy in a 0-to-1 environment.
- Preferred qualifications include a master's degree with 3 years of software engineering experience and knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Benefits
- The role is based in the Walmart Chennai office for daily work, with flexibility for associates to manage personal lives.
- Benefits include performance incentive awards, maternity and parental leave, paid time off, health benefits, and other company benefits.
Tech Stack
Categories
BackendData Engineering
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.