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Tech Stack
Tools & technologiesCloudDistributed SystemsJavaKafkaMicroservicesNoSQLSparkSpring
About the role
Key responsibilities & impact- Lead the design and delivery of large-scale software, ML infrastructure, and platform capabilities
- Translate product and business strategy into scalable, resilient, maintainable architectures and long-term technical roadmaps
- Own coding, testing, deployment, monitoring, maintenance, performance optimization, and operational excellence
- Drive system design reviews, architectural decisions, and root-cause analysis for complex production and reliability issues
- Build cloud-native platforms, ML frameworks, model-serving capabilities, and AI-driven applications supporting automation and intelligent workflows
- Mentor engineers, influence technical direction, raise engineering standards, and partner across product, data science, and engineering teams
- Lead and direct large-scale, complex, cross-functional projects by reviewing project requirements and translating them into technical solutions
Requirements
What you’ll need- 8+ years of software engineering experience with a Bachelor’s or Master’s degree in Computer Science or related field
- Strong experience in AdTech, Search, relevance, or large-scale distributed systems
- Expertise building highly available, fault-tolerant, cloud-native services using microservices, containers, APIs, and automation
- Hands-on proficiency in Java or another object-oriented language, Spring, NoSQL, Kafka, Spark, and modern data platforms
- Experience partnering with Data Science teams to productionize and serve ML models in real time
- Exceptional analytical reasoning, debugging, and problem-solving skills
- Demonstrated architecture leadership, mentorship, communication, collaboration, and commitment to engineering excellence
- Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area
- Option 2: 6 years’ experience in software engineering or related area
- Must comply with Walmart’s drug-free workplace policy
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision, and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- Paid time off, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
- Live Better U Walmart-paid education benefit program
- Tuition, books, and fees completely paid for eligible education programs
- Additional compensation may include stock
- Annual or quarterly performance bonuses
