STAFF, SOFTWARE ENGINEER
Walmart · Posted Oct 22
Retail, e-commerce, grocery, pharmacy, and membership warehouse services
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About the role
The International Pricing Engineering team at Walmart Global Tech builds and operates platforms supporting the end-to-end price-setting lifecycle for first-party merchandise across Walmart's international markets, including pricing strategy and recommendations, business-rule evaluation, simulations, approval workflows, markdown optimization, competitive pricing intelligence, and price execution. The platforms are Java/Kotlin microservices on cloud infrastructure using Kafka, event-driven architecture, and relational/NoSQL data stores, designed to be scalable, resilient, and multi-market. This hands-on staff engineering role leads architecture and design, writes production code, and mentors engineers while driving reliability, observability, and CI/CD excellence.
What you will do
- Remain hands-on and contribute production-quality code for critical platform capabilities, complex integrations, and technically challenging initiatives.
- Define and own the end-to-end technical architecture for International Pricing platforms.
- Write high-quality design documents, including HLDs, LLDs, Architecture Decision Records, API contracts, data models, sequence diagrams, and operational readiness plans.
- Review architecture and technical designs produced by engineering teams and ensure alignment with platform standards, scalability, reliability, security, and long-term maintainability.
- Design and build scalable, high-throughput, and low-latency Java- or Kotlin-based microservices deployed on cloud infrastructure.
- Build extensible pricing capabilities using domain-driven design, event-driven architecture, Kafka, API-first principles, and well-defined service boundaries.
- Design solutions for pricing recommendations, rule evaluation, approvals, simulations, publishing, execution, auditability, and downstream-system integration.
- Own data-modeling and persistence strategies across relational, NoSQL, and analytical data stores, with a strong focus on data accuracy, lineage, consistency, and traceability.
- Design resilient distributed workflows using appropriate patterns such as orchestration, outbox, retries, circuit breaking, idempotency, and dead-letter processing.
- Define REST and gRPC APIs with clear contracts, backward-compatibility guarantees, versioning strategies, and consumer-driven contract testing.
- Design for multi-market and multi-tenant use cases while balancing global platform consistency with market-specific business requirements.
- Identify and proactively address systemic risks, including scaling bottlenecks, single points of failure, data-integrity gaps, operational dependencies, and technical-debt accumulation.
- Drive architecture and integration alignment with shared platforms and downstream systems responsible for price calculation, price publishing, execution, catalog, analytics, and store operations.
- Represent International Pricing in cross-organizational architecture and engineering forums.
- Build and improve CI/CD pipelines for automated build, testing, security validation, canary deployment, rollback, and production verification.
- Drive observability-first engineering through structured logging, metrics, distributed tracing, dashboards, actionable alerts, and business-flow monitoring.
- Ensure that services comply with enterprise security, privacy, infrastructure, and software-development standards.
- Lead production-readiness reviews, incident investigations, root-cause analyses, and reliability-improvement initiatives.
- Mentor junior, mid-level, and senior engineers through design reviews, code reviews, technical discussions, pairing, and structured feedback.
- Establish engineering standards for design quality, code quality, automated testing, performance, security, release readiness, and operational excellence.
- Partner closely with Product, Data Science, Business, Program, Quality Engineering, and other platform teams to translate complex pricing requirements into scalable technical solutions.
- Promote a platform-first mindset by creating reusable and configurable capabilities that enable multiple markets and engineering teams without duplicating solutions.
- Identify opportunities to simplify architecture, automate manual processes, improve developer productivity, and deliver measurable business value.
- Make sound technical decisions and solve complex problems efficiently in a high-impact, fast-moving environment.
Skills used in this role
What the employer is looking for
- A bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field.
- 12+ years of relevant software-engineering experience, including experience building highly available, resilient, and scalable distributed systems.
- Strong hands-on programming experience with Java 17/21 Spring Boot or comparable frameworks, microservices, REST APIs, and event-driven systems.
- Expert-level understanding of object-oriented design, data structures, algorithms, distributed-system fundamentals, design patterns, and software-engineering principles.
- Strong experience with Kafka or similar messaging platforms and asynchronous processing patterns.
- Experience designing and operating systems using relational and NoSQL databases.
- Advanced experience with cloud infrastructure such as Azure, GCP, or AWS.
- Strong understanding of Docker, Kubernetes, service-to-service communication, autoscaling, resource management, and cloud-native deployment patterns.
- Experience designing systems that process large data volumes while maintaining strong consistency, traceability, performance, and availability.
- Demonstrated ability to author clear technical designs and influence architecture across multiple teams.
- Strong troubleshooting skills, including the ability to diagnose complex production issues across applications, infrastructure, messaging, and data layers.
- Experience driving engineering excellence through automated testing, performance optimization, reliability improvements, operational readiness, and incident prevention.
- Experience integrating machine-learning inference APIs or model endpoints into production services.
- Familiarity with GenAI-assisted engineering tools and their responsible use across software-development workflows.
- Strong communication, facilitation, negotiation, and consensus-building skills.
- Demonstrated ability to mentor engineers and raise the technical capabilities of the broader team.
- Ability to balance immediate delivery needs with long-term platform architecture and sustainability.
Benefits and support
- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits
About Walmart
Walmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. As one of the world's largest companies by revenue, it serves millions of customers daily through physical stores and robust e-commerce platforms. The company is driven by a commitment to everyday low prices and an expanding suite of digital and convenience-focused services.
- Industry
- Retail
- Company size
- 2000000+ employees
- Founded
- 1962
- Location
- Bentonville, Arkansas, USA
- Funding stage
- Public Company
Leadership
President and CEO
Executive Vice President and Chief Financial Officer
Executive Vice President, Global Chief Technology Officer and Chief Development Officer
Executive Vice President and Chief Growth Officer
President and CEO, Walmart U.S.
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