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Walmart
Walmart
B2CeCommerceRetail
Walmart is a global retail and eCommerce company serving consumers through hypermarkets, discount department stores, grocery locations, and an online marketplace. Its broad product offering is supported by a large physical-store network, direct-to-consumer operations, and the logistics and supply-chain systems needed to keep products moving across the business.
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Senior Software Engineer, Distributed Platforms

Build Walmart’s distributed data and AI platform infrastructure, developing Java and Python services, Spark pipelines, and generative AI capabilities for retail-scale systems.

INIndiaOn-siteFull-timeSeniorEnglish RequiredFull-stack EngineerSoftware Engineer
CloudDistributed SystemsHadoopHDFSJavaKafkaKubernetesMicroservicesPythonSpark

Description

  • Build and operate distributed platform services and APIs with Java and Python on Kubernetes or similar cloud-native infrastructure.
  • Apply system and low-level design to platform challenges, assessing dependencies, trade-offs, failure modes, scalability, and cost.
  • Contribute to Spark data pipelines and processing jobs as part of platform development.
  • Develop AI, generative AI, and agentic platform capabilities, including developer tools, workflow automation, agentic services, and AI-assisted operations tools.
  • Take ownership of reliability, scalability, and observability, including SLOs, distributed tracing, alerting, and incident response.
  • Contribute to architecture and system design for microservices, event-driven systems, and enterprise integrations.
  • Work with data engineers, data scientists, and ML engineers on services for data pipelines, feature stores, and model serving.
  • Review architecture, designs, code, and production readiness.
  • Apply sound technical judgment, mentor early-career engineers, and improve engineering quality.
  • Track developments in platform, cloud, and AI technologies and recommend practical improvements.
  • Work each day from the Bangalore or Chennai office.

Requirements

  • At least five years of professional software engineering experience building and operating distributed platforms.
  • Strong Java and Python skills.
  • A focus on operational and engineering excellence, including SLO/SLA ownership, incident management, blameless post-incident reviews, reliability and quality metrics, and continuous improvement.
  • A bachelor’s or master’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.
  • Experience with microservices, distributed systems, event-driven patterns, API design, service contracts, and enterprise integration.
  • Strong system design and low-level design skills.
  • Experience with CI/CD, containers, Kubernetes or equivalent orchestration, infrastructure automation, and production operations.
  • Working knowledge of Spark and familiarity with Hadoop/HDFS, Hive, or Kafka.
  • Hands-on experience integrating model APIs and generative AI or LLM tools.
  • Experience building or operating agentic workflows, embeddings or vector search, and MLOps practices.
  • Knowledge of observability, distributed tracing, logging, metrics, alerting, incident response, capacity planning, and fault tolerance.
  • Knowledge of authentication, authorization, data protection, and secure API design.
  • Ability to turn technical and business problems into execution plans.
  • Strong ownership, technical judgment, and autonomy in a 0-to-1 environment.
  • Minimum qualification: a bachelor’s degree and three years of software engineering experience, or five years of software engineering experience.
  • Primary work location is Bangalore, India.

Benefits

  • Performance-based incentive awards.
  • Maternity and parental leave.
  • Paid time off.
  • Health benefits.
  • Flexibility to manage personal commitments.

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