1 day ago
Chennai, India or Bengaluru, IndiaStaff+
Responsibilities
- Design, build, and operate distributed platform services and APIs using Java and Python on Kubernetes or equivalent cloud-native infrastructure.
- Apply system design and low-level design practices to evaluate dependencies, trade-offs, failure modes, scalability, and cost.
- Contribute to Spark-based data pipelines and processing jobs within the data engineering codebase.
- Build AI, GenAI, and agentic-powered developer tooling, workflow automation, agentic services, and operational tooling.
- Own service reliability, scalability, observability, service-level objectives, distributed tracing, alerting, and incident response.
- Contribute to architecture, design, code, and production readiness reviews across microservices, event-driven systems, and enterprise integrations.
- Partner with data engineers, data scientists, and ML engineers on services supporting data pipelines, feature stores, and model-serving paths.
- Mentor early-career engineers and raise engineering quality without formal management responsibilities.
Requirements
- At least four years of software engineering experience with a bachelor’s degree, or six years of software engineering experience without the degree requirement.
- Strong production coding, reviewing, and debugging proficiency in Java and Python; Go, C++, or Scala experience is preferred.
- Experience with microservices, distributed systems, event-driven patterns, API design, service contracts, enterprise integration, system 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.
- Knowledge of observability, distributed tracing, logging, metrics, alerting, incident response, capacity planning, and fault tolerance.
- Understanding of authentication, authorization, data protection, privacy, secure API design, and enterprise engineering practices.
- Ability to create execution plans, handle technical ownership autonomously, and operate effectively in a newly formed 0-to-1 team.
- A master’s degree in a relevant computer science, engineering, or software field plus two years of software engineering experience is preferred.
Benefits
- Performance incentive awards, maternity and parental leave, paid time off, health benefits, and other benefits.
- Daily work is based in the Bangalore or Chennai office, with flexibility for associates to manage their 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.