Staff Software Engineer

Walmart

Staff Software Engineer building Walmart’s distributed transportation planning and execution platforms. Designing cloud-native systems that optimize freight, routing, capacity, and supply-chain operations at scale.

Posted 8/22/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates extensive experience in designing and developing scalable, fault-tolerant software systems using Java, Spring Boot, and cloud-native architectures. Proven ability to lead technical projects, optimize performance, and ensure high-quality product delivery through effective collaboration and communication.

Highest-signal resume keywords

Java/J2EE ProficiencyMicroservices DevelopmentCloud Native ArchitectureCI/CD Pipeline ImplementationAgile (Scrum) Methodology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Spring BootCassandraAzure SQLKafkaRESTful Web ServicesData StructuresAlgorithmsDesign PatternsCloud Infrastructure OptimizationProduction-Grade Systems

Soft Skills

Exceptional CommunicationNegotiation SkillsFacilitation SkillsConsensus-BuildingInfluencing Skills

Tools & Technologies

DockerKubernetesELK/SplunkAzureGoogle Cloud Platform

Industry Keywords

DevOps Best PracticesTechnical DebtRoot Cause AnalysisAgile MethodologyCloud-Based Projects

Tech Stack

Tools & technologies

AzureCassandraCloudDockerGoogle Cloud PlatformJ2EEJavaKafkaKubernetesMicroservicesRabbitMQSplunkSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact

Create simple, modular, extensible, and functional designs for products and solutions
Develop complex, scalable, and fault-tolerant software systems using Spring Boot, Java, Cosmos, Azure SQL, and Cassandra
Work with the Product team to understand customer requirements and analyze architecture gaps
Drive production deployments using automated CI and deployment tools
Provide subject-matter-expert support for the functional domain
Analyze product-wide system performance for reliability, operability, performance efficiency, and security
Create detailed designs using mock screens, pseudocode, and functional logic
Act as technical leader with end-to-end ownership of large-scale product/module design and architecture
Ensure products are well designed, well built, flexible, and extensible
Triage and troubleshoot issues, including regression testing, root cause analysis, and root cause corrective action
Guide team members in RCA and RCCA
Perform code and design reviews and guide the test team with user scenarios
Optimize products for cloud infrastructure cost and performance
Partner with senior and junior teammates throughout the software development lifecycle, from development to debugging and operational excellence

Requirements

What you’ll need

10+ years of experience in the design and development of highly scalable distributed applications and platforms
Experience building a “Code, Deploy, run” pipeline using DevOps best practices and CI/CD tools
Strong computer science fundamentals: data structures, algorithms, and design patterns
Ability to balance long-term and short-term implications of design decisions and own technical debt/modernization
Proficiency in Java/J2EE, microservices, and cloud native architecture
Hands-on experience developing microservices and RESTful web services in Java SpringBoot, Spring Kafka, or equivalent
Knowledge of Kafka or RabbitMQ
In-depth knowledge of cloud native architecture, microservice architecture, service registries, ELK/Splunk, VMs, Docker, and Kubernetes
Knowledge of at least one of Azure or Google Cloud Platform
Demonstrated end-to-end ownership of at least one cloud-based project
Strong hands-on development skills for prototyping technical solutions
Proficiency in new and emerging technologies
Exceptional communication, negotiation, facilitation, consensus-building, influencing, and persuasion skills
Practitioner of Agile (Scrum) methodology
AI/LLM experience is better to have, including experience with LLM APIs, core AI/LLM concepts, production-grade agentic systems, and LLM serving optimizations
Bachelor's degree in a listed computer-related field and 4 years' software engineering experience, OR 6 years' software engineering experience
Master's degree and 2 years' experience is preferred

Benefits

Comp & perks

Incentive awards for performance
Maternity and parental leave
PTO
Health benefits
Flexible, hybrid work arrangement