Walmart
Walmart
Walmart ir pasaules mazumtirdzniecības un e-komercijas uzņēmums, kas apkalpo patērētājus, izmantojot hipermārketus, zemo cenu universālveikalus, pārtikas veikalus un tiešsaistes tirdzniecības platformu. Tā plašo preču klāstu nodrošina plašs fizisko veikalu tīkls, tiešās pārdošanas patērētājiem darbība, kā arī loģistikas un piegādes ķēdes sistēmas, kas nodrošina produktu apriti visā uzņēmumā.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

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

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