20 hours ago
Chennai, IndiaStaff+
Responsibilities
- Design, build, and operate distributed platform services and APIs using Java, Python, and 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, generative AI, and agentic platform capabilities, including developer tooling, workflow automation, agentic services, and AI-assisted operational tooling.
- Own reliability, scalability, observability, service-level objectives, distributed tracing, alerting, capacity planning, and incident response.
- Guide architecture and system design for 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 for a newly formed team.
- Set technical direction, mentor engineers, and influence broader platform engineering standards without requiring a management title.
Requirements
- 8+ years of professional software engineering experience building and operating large-scale distributed platforms.
- Strong proficiency in Java and Python with hands-on production coding, code review, and debugging experience.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Minimum qualification is either a bachelor’s degree plus 4 years of software engineering experience or 6 years of software engineering experience.
- 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.
- Experience integrating model APIs and GenAI/LLM tooling, building agentic workflows, using embeddings and vector search, and applying MLOps practices.
- Strong reliability engineering knowledge covering observability, tracing, logging, metrics, alerting, incident response, capacity planning, and fault tolerance.
- Knowledge of authentication, authorization, data protection, privacy, secure API design, and enterprise engineering practices.
- Proven ability to translate ambiguous technical and business problems into execution plans and operate with high autonomy.
- Experience with Go, C++, or Scala and a Master’s degree are preferred or advantageous.
Benefits
- Performance incentive awards, maternity and parental leave, paid time off, health benefits, and other benefits are available.
- The role is based in the Chennai office for daily work, with flexibility to manage personal lives.
Tech Stack
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.