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Tech Stack
Tools & technologiesBigQueryCassandraCloudDistributed SystemsKafkaPySparkPyTorchRaySpark
About the role
Key responsibilities & impact- Lead the design and delivery of scalable platform capabilities across multiple teams
- Architect cloud-native distributed systems with AI/ML integration
- Ensure high availability and performance
- Lead the technical work of 30+ engineers
- Solve large-scale AdTech problems using ML and statistical methods
- Lead platform development for measurement solutions including incrementality, attribution, data cleanroom measurement, partner integrations, and GenAI-powered reporting
- Support real-time optimization and offline reporting for Walmart’s digital advertising business
- Define technical direction and conduct design reviews
- Partner with engineering leadership and cross-functional stakeholders to align technical strategy with business goals
- Troubleshoot business and production issues, coordinate support teams, formulate action plans, execute resolutions, interpret results, and document outcomes
- Guide software development lifecycles and mentor engineering teams
- Collaborate with stakeholders to translate complex business needs into technical solutions
- Foster innovation, maintain architectural standards, and support continuous improvement
Requirements
What you’ll need- 8+ years of experience in ML and data intensive platform development
- 4+ years of experience as staff+ level technical lead
- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years’ experience in software engineering or related area; alternatively, 7 years’ experience in software engineering or related area
- Familiarity with distributed data processing tools and databases, including Spark Streaming, Flink, Kafka, Ray, BigQuery, Druid, and Cassandra
- Skill in leveraging AI to enhance productivity and drive innovation
- Familiarity with GenAI skills and techniques including MCP, RAG, re-ranking, agent skills, progressive disclosure, context engineering, agent-to-agent protocol, and fine-tuning
- Familiarity with ML libraries including PySpark, PyTorch, CUDA, and Triton
- Experience implementing statistical and machine learning methods for classification, regression, ranking, and/or recommendation
- Experience implementing transformer-based model training and real-time inference on GPU-backed infrastructure
- Experience working cross-functionally with data scientists, machine learning engineers, and product managers
- Experience in AdTech measurement with demonstrated knowledge of the AdTech business
- Drug-free workplace and compliance with Walmart’s policy regarding illegal drugs and alcohol on the job
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, including fully paid tuition, books, and fees for eligible programs
- Additional stock compensation for certain positions