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Walmart

Senior Software Engineer

Walmart

Senior Software Engineer building Java microservices and AI-enabled supply chain platforms for Walmart. Developing scalable cloud systems and full-stack features in Chennai’s hybrid office environment.

Posted 8/21/2026full-timeChennai • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building scalable Java-based microservices, integrating machine learning models, and leading technical design reviews. Proficient in cloud infrastructure and containerization, with strong problem-solving and communication skills.

Highest-signal resume keywords
Java 17/21Microservices ArchitectureReact DevelopmentKubernetesCI/CD Pipeline Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Object Oriented ProgrammingSpring BootREST APIKafkaNode.jsRelational DatabasesNoSQL DatabasesAgile PrinciplesML Inference IntegrationData Structures
Soft Skills
Exceptional CommunicationInterpersonal SkillsNegotiationFacilitationConsensus Building
Tools & Technologies
Walmart Cloud Native PlatformConcordKITTLooperPrometheusGrafanaDockerAzureGCPAWS
Certifications & Qualifications
Cisco Certification
Industry Keywords
Cloud InfrastructureSupply Chain CapabilitiesEvent-Driven PatternsDomain-Driven DesignObservability Dashboards

Tech Stack

Tools & technologies
AWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformGrafanaGraphQLJavaJavaScriptKafkaKubernetesMicroservicesNode.jsNoSQLPrometheusReactSpringSpring BootSpringBoot

About the role

Key responsibilities & impact
  • Design and build scalable, resilient Java-based microservices deployed on Walmart Cloud Native Platform (WCNP/Kubernetes)
  • Develop full-stack features using React, Node, and Express.js integrated with RESTful/GraphQL APIs
  • Build microservices using domain-driven design, event-driven patterns with Kafka, and API-first principles
  • Design shared and extensible platform capabilities for multiple teams
  • Integrate ML model inference, feature pipelines, or GenAI features into production services
  • Lead technical design reviews and mentor junior engineers
  • Own CI/CD pipelines using Concord, KITT, and Looper
  • Set up observability dashboards and alerts and participate in on-call rotations
  • Collaborate with Product, Data Engineering, and Infrastructure teams on supply chain capabilities
  • Lead application technology-stack upgrades and platform design adoption
  • Maintain structured logging and Prometheus/Grafana metrics
  • Identify and propose improvements to development workflows and supply chain processes
  • Adopt and advocate for AI coding tools such as Wibey
  • Troubleshoot complex problems in a high-impact environment

Requirements

What you’ll need
  • Engineering degree in Computer Science or related technical field
  • 5.5 years - 10 years of relevant experience in building cloud based highly resilient and scalable systems
  • Sound technical knowledge in Object Oriented Programming and frameworks: Java 17/21, Spring Boot, microservices, REST API, Kafka, relational and NoSQL databases, React, and Node.js
  • Understanding of software fundamentals, data structures, algorithms, problem solving, and Agile principles
  • Strong exposure to cloud infrastructure such as Azure, GCP, or AWS
  • Experience with containerization ecosystems such as Docker and Kubernetes
  • Experience calling and integrating ML inference APIs
  • Ability to troubleshoot issues quickly and provide technical solutions
  • Exceptional communication and interpersonal skills, including negotiation, facilitation, and consensus building
  • Bachelor's degree and 3 years' experience in software engineering or related area, OR 5 years' experience in software engineering or related area
  • Master's degree and cybersecurity project leadership experience listed as preferred
  • Cisco certification listed as preferred

Benefits

Comp & perks
  • Incentive awards for performance
  • Maternity and parental leave
  • PTO
  • Health benefits
  • Flexible, hybrid work
  • Training in future skillsets
  • Opportunities to gain new skills and experience