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Walmart

Staff Software Engineer

Walmart

. Design, build, and operate distributed platform services and APIs using Java and Python on Kubernetes or equivalent cloud-native infrastructure .

Posted 10/8/2026full-timeBangalore • IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building and operating large-scale distributed platforms using Java and Python, with a strong focus on system design, microservices architecture, and operational excellence. Capable of guiding technical direction, mentoring teams, and ensuring platform reliability and scalability.

Highest-signal resume keywords
Java ProficiencyPython ProficiencyMicroservices ArchitectureKubernetes OrchestrationOperational Excellence

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
System DesignDomain-Oriented DesignLow-Level DesignCI/CD PracticesAPI DesignDistributed SystemsEvent-Driven PatternsSpark ExperienceMLOps PracticesObservability
Soft Skills
Technical JudgmentOwnershipMentoringProblem-SolvingCollaboration
Tools & Technologies
KubernetesHadoopHDFSHiveKafkaGenAILLM ToolingAgentic WorkflowsInfrastructure AutomationProduction Operations
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Engineering
Industry Keywords
Distributed PlatformsService-Level ObjectivesIncident ManagementBlameless Post-Incident ReviewsData ProtectionSecure API DesignCapacity PlanningFault ToleranceContinuous ImprovementCommunity Outreach

Tech Stack

Tools & technologies
CloudDistributed SystemsHadoopHDFSJavaKafkaKubernetesMicroservicesPythonSpark

About the role

Key responsibilities & impact
  • Design, build, and operate distributed platform services and APIs using Java and Python on Kubernetes or equivalent cloud-native infrastructure
  • Apply domain-oriented design, system design, and low-level design rigor to ambiguous platform problems
  • Contribute to Spark-based data pipelines and processing jobs alongside platform work
  • Build AI, GenAI, and agentic-powered platform capabilities, including developer tooling, workflow automation, agentic services, and AI-assisted operational tooling
  • Own platform reliability, scalability, observability, service-level objectives, distributed tracing, alerting, and incident response
  • Guide architecture and system design decisions across microservices, event-driven systems, and enterprise integrations
  • Partner with data engineers, data scientists, and ML engineers on platform services for data pipelines, feature stores, and model-serving paths
  • Establish engineering standards through architecture, design, code, and production readiness reviews
  • Set technical direction and best practices, mentor engineers, and influence broader platform engineering standards
  • Evaluate and adopt emerging platform, cloud, and AI/agentic technologies
  • Drive execution of business plans and projects, remove performance barriers, develop contingency plans, and support continuous learning
  • Provide supervision and development opportunities for associates, including selecting, training, mentoring, assigning duties, and conducting performance evaluations
  • Promote company policies, ethics, compliance, and the Open Door Policy
  • Evaluate plans and initiatives, consult stakeholders, improve efficiency and cost-effectiveness, and support community outreach events

Requirements

What you’ll need
  • 8+ years of professional software engineering experience building and operating large-scale distributed platforms
  • Strong proficiency in Java and Python
  • Operational Excellence and Engineering Excellence mindset, including SLO/SLA ownership, incident management, blameless post-incident reviews, reliability and quality metrics, and continuous improvement
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • Deep experience with microservices architectures, distributed systems, event-driven patterns, API design, service contracts, and enterprise system integration
  • Strong system design, domain-oriented design (DDD), and low-level design (LLD) skills
  • Deep understanding of CI/CD, containerization, Kubernetes or equivalent orchestration, infrastructure automation, and production operations
  • Working-level Spark experience; familiarity with Hadoop/HDFS, Hive, or Kafka
  • Hands-on experience integrating model APIs and GenAI/LLM tooling, building or operating agentic workflows, embeddings/vector search, and MLOps practices
  • Strong 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 translate ambiguous technical/business problems into clear execution plans
  • Strong ownership, technical judgment, and ability to operate autonomously in a 0-to-1 environment
  • Minimum qualification alternative: Bachelor's degree in a specified technical field and 4 years’ experience in software engineering or related area, or 6 years’ experience in software engineering or related area

Benefits

Comp & perks
  • Incentive awards for performance
  • Maternity and parental leave
  • PTO
  • Health benefits