Staff, Software Engineer

Wonder is a mealtime platform built to feed every craving in one order. They are seeking a Staff Software Engineer to develop the logic for automated ordering plans in their supply chain system, collaborating with various stakeholders and ensuring system reliability and performance.

Responsibilities:

• Write production-level code to deploy operation research models and algorithms that drive cross network fulfillment
• Build and maintain simulation frameworks to stress-test procurement strategies against real-world uncertainty
• Manage the technical logic for complex configurations including multi-location availability, on-order tracking, and delivery schedules
• Work under the guidance of Senior Software Engineers to ensure all models are performant, scalable, and integrated into the core platform
• Partner with Product and Analytics to define data requirements, ensuring our models use the most accurate and "clean" signals from the supply chain
• Follow a 'simple first' approach, delivering practical code that balances mathematical complexity with system reliability
• Design and implement highly available planning logic that maintains high uptime and data consistency, ensuring that DC and vendor ordering systems are mission-critical and failure-tolerant
• Optimize algorithm execution and data retrieval patterns to ensure the planning engine remains performant as we scale the number of locations, configurations, and sales volume

Requirements:

• 5–8+ years of relevant experience in software engineering or systems modeling
• MS or PhD in Computer Science, Operations Research, Industrial Engineering, Applied Math, or a related quantitative field
• Demonstrated ability to model complex physical supply chain problems and iteratively build production-ready solutions
• Mastery of Java, Kotlin, Python, or other related languages and SQL is required
• Proven track record of deploying, scaling, and maintaining optimization or simulation solutions in a production environment with high uptime requirements
• Experience building discrete-event or stochastic simulations to stress-test supply chain logic against real-world uncertainty
• Strong grasp of modern software development lifecycles, including CI/CD, unit testing/integration testing, and version control (Git)
• Ability to work under the guidance of Senior Engineering and Product leadership to translate complex business KPIs (cost, fill rate, waste) into technical solutions
• Professional experience with at least one statically-typed, compiled language to ensure compatibility with high-performance backend systems
• Specific experience in e-commerce, food tech, or retail distribution centers (understanding 'picking' logic and 'vendor lead times')