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About Wonder
Everything’s on the menu at Wonder. Except compromise.
The Wonder app is the premiere platform to feed every craving, all in one order. Our 25+ award-winning restaurant partners span every cuisine you can think of, from Greek to Thai, and come from the minds of the best chefs in the industry—Bobby Flay, José Andrés, Marcus Samuelsson, and more.
And our diners don’t have to choose just one: they can mix and match dishes from as many Made by Wonder restaurants as they’d like, or order from neighborhood gems near them. Everything is made to order at our brick-and-mortar locations across the East Coast and delivered fast and free, and more locations are opening every week.
The best in the business are coming to Wonder, working every day to make us the destination for every mealtime moment. Join a team of technology, culinary, and logistics pioneers, backed by top-tier venture capitalists, and help us make great food more accessible.
About the Role
We're looking for a product- minded Staff Backend Engineer to drive our restaurant platform forward. As an individual contributor on the Wonder Tech Team, you will be critical in developing our Kitchen Display System— the primary system that will power our restaurants as we expand from tens to hundreds of locations across the country. Specifically, you will be a key player in our kitchen sequencing initiative, building and optimizing the systems that determine how orders are prepared. You will design and implement features that optimize complex operational flows, enable operational analytics, and simplify the preparation of high quality food across dozens of restaurants and hundreds of menu items.
Key Responsibilities
Working closely with operations researchers, product managers, product designers, and other engineers to design and build transformative systems including our kitchen sequencing and kitchen display system
Leading technical projects from planning through execution and delivery
Collaborating with Operations Researchers and Product Managers to translate advanced optimization algorithms into robust, scalable, and production ready code
Enhance our KDS simulator, transforming it into a standalone, modular tool for offline research and "what-if" analysis
Develop and maintain data infrastructure for real-time and historical data inputs, including lab or data, appliance capacity, and line build times, to feed our sequencing algorithms
Design and implement robust monitoring, alerting, and telemetry systems to ensure the operational excellence of our sequencing services
Designing and maintaining distributed systems comprised of both synchronous and asynchronous services, as well as data infrastructure with varied consistency guarantees and performance characteristics
Working with public cloud infrastructure such as Azure, AWS, or GCP
Working with modern orchestration and containerization products such as Kubernetes, Docker, etc.
The Experience you Have
Bachelor's or Master's degree in Computer Science or equivalent experience
5-8+ years of experience in software engineering
Proven experience in implementing high-quality systems
Deep proficiency with one or more modern programming languages: Java, Scala, Kotlin, C#, C++, etc.
Deep proficiency with both relational and document databases: MySQL, Postgres, CosmosDB, MongoDB, etc.
Strong problem-solving skills and the ability to troubleshoot complex technical challenges.
Excellent communication and interpersonal skills
What You're Passionate About
Creating clean, well-documented, and easily maintainable code
Achieving operational excellence in the development lifecycle
Robust integration and unit tests that support confident deployment of complex feature and system changes
Strong opinions on CI/CD and how application teams work within the platform
Understanding every aspect of your systems, particularly through the collection of telemetry data
Bonus Points
Strong working knowledge of Java and the JVM
Experience with microservice architectures
hackajob is partnering with Grubhub to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.