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# Staff, Software Engineer

- **Company:** Wonder Indeed
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $208,500.0 - $216,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, Unit Testing, System Configuration, Continuous Integration, Data Retrieval, Iterative and Incremental Development, Python (Programming Language), Software Engineering, SQL Databases, Warehouse Management Systems, Reliability of Systems, Backend, Git, Kotlin, Integration Tests, Information Technology, Modeling and Simulation, Software Version Control
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fbfcd6cc43b78864

## About the Role

Do you have experience in Version control systems?, * 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. Professional experience with at least one statically-typed, compiled language to ensure compatibility with high-performance backend systems is preferred.
 * 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
 * Specific experience in e-commerce, food tech, or retail distribution centers (understanding "picking" logic and "vendor lead times")

## Description

We're looking for a Staff, Software Engineer (Supply Chain Systems) to join our team in building the 'brain' of Wonder's supply chain system. You will work closely with Senior Software Engineers to develop the logic that translates sales forecasts into automated ordering plans for our distribution centers, fulfillment centers, production facilities and vendor orders. Our team works with stakeholders from all over the company to solve complicated problems with cutting-edge technology. This role is perfect for someone who loves the intersection of clean, production-ready code and complex mathematical modeling. You will help us simulate real-world constraints such as lead times and procurement strategies to ensure our high-density restaurants are always stocked and ready to serve.

The Impact You Will Make

 * Develop & Implement: Write production-level code to deploy operation research models and algorithms that drive cross network fulfillment.
 * Simulation Modeling: Build and maintain simulation frameworks to stress-test procurement strategies against real-world uncertainty
 * System Configuration: Manage the technical logic for complex configurations including multi-location availability, on-order tracking, and delivery schedules.
 * Collaborate on Architecture: Work under the guidance of Senior Software Engineers to ensure all models are performant, scalable, and integrated into the core platform.
 * Data Translation: Partner with Product and Analytics to define data requirements, ensuring our models use the most accurate and "clean" signals from the supply chain.
 * Iterative Development: Follow a 'simple first' approach, delivering practical code that balances mathematical complexity with system reliability.
 * Engineered for Resilience: 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.
 * Performance at Scale: 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.


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