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Walmart

Director, Software Engineering

Walmart

. Set the technical vision and roadmap for Big Data Offerings .

Posted 10/12/2026full-timeBangalore • IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in leading software engineering teams and projects, with a strong focus on Big Data Offerings, AI integration, and cloud-native distributed systems. Proven ability to align technical vision with business goals while ensuring high-quality deliverables and team performance.

Highest-signal resume keywords
Big Data OfferingsAI Integration Using Python, Java, Rust, DartCloud-Native Distributed System DevelopmentLeadership/Management ExperienceDevOps Practices

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
Software EngineeringMicroservicesData StructuresAlgorithmsJavaPythonKafkaSparkHiveAirflow
Soft Skills
LeadershipCommunicationProblem SolvingMentoringBusiness Acumen
Tools & Technologies
AzureGCPWCNPObservability ToolingGenerative AI Tools
Industry Keywords
Software Development LifecycleSystem DesignCross-Functional CollaborationProject ExecutionQuality Standards

Tech Stack

Tools & technologies
AirflowAzureCloudDartGoogle Cloud PlatformJavaKafkaMicroservicesPythonRustSpark

About the role

Key responsibilities & impact
  • Set the technical vision and roadmap for Big Data Offerings
  • Elevate the reliability, scalability, and security of Big Data Offerings
  • Partner with business leaders and engineering teams to align offerings with enterprise goals
  • Shape a high-performing engineering team through mentoring, best practices, and continuous improvement
  • Lead execution of moderately complex software, data, and ML systems
  • Translate domain strategies into system-level implementation plans
  • Drive backlog prioritization, team capacity planning, and system optimization
  • Oversee the full software development lifecycle across multiple teams
  • Champion DevOps practices, observability tooling, and system health KPIs
  • Implement cloud cost optimization and reduce operational toil
  • Collaborate with product and data teams on AI/ML-enabled and agentic systems
  • Provide technical oversight of AI integration using Python, Java, Rust, and Dart
  • Integrate AI agents for search, automation, and decision support
  • Manage engineering dependencies and project execution across products and services
  • Align roadmaps and milestones with organizational priorities
  • Leverage generative AI tools such as ChatGPT for planning, risk mitigation, and reporting
  • Ensure deliverables meet quality standards and business objectives
  • Resolve issues and drive projects to completion

Requirements

What you’ll need
  • Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years’ experience in software engineering or related area (Option 1)
  • 8 years’ experience in software engineering or related area (Option 2)
  • 3 years' supervisory experience
  • More than 15 years of experience in software engineering
  • 5+ years of leadership/management experience as a Manager of Managers and Principal/Staff Engineers with team size of 20+
  • Understanding of CS fundamentals, microservices, agentic AI, data structures, algorithms, and problem solving
  • Hands-on experience with Java, Python, Kafka, Spark, Hive, Airflow, Trino, Druid, and Pinot
  • Deep working knowledge of cloud-native distributed system development; Azure, GCP, and WCNP preferred
  • Experience managing software development engineers, leaders, and architects
  • Experience leading engineering projects and applying system design
  • Experience collaborating with cross-functional teams, scrum teams, QA, Release Management, Program Management, and TechOps
  • Experience designing, developing, and scaling software platforms for large user bases
  • Platform-focused decision-making in complex environments
  • Experience collaborating with geographically distributed teams
  • Strong business acumen and problem-solving skills
  • Excellent leadership and communication skills
  • Passion for mentoring and developing engineering talent

Benefits

Comp & perks
  • Incentive awards for performance
  • Maternity and parental leave
  • Paid time off (PTO)
  • Health benefits