Role OverviewOwner is the leading all-in-one platform for independent restaurants. Orders Platform is the system that takes, tracks, and settles every order a restaurant handles with the upmost reliability (even through internet outages).
We're looking for a Staff Engineer to help own and evolve the core of that platform as we scale to more and more restaurants. You'll work on problems that look very different from a traditional backend role: event-sourced data storage, data reconciliation, cost-effective observability, code distribution across thousands of devices via Kotlin Multiplatform, and restaurant workflows that must behave correctly even when part of the system disappears halfway through an operation.
This is a high-ownership, hands-on role. You'll be a technical anchor for the Orders Platform team, setting platform direction, raising the bar on correctness, and helping the team move fast on a system restaurants depend on every day.
Why we're looking for youOrders are the heartbeat of a restaurant. Our tier zero platform is built on patterns such as event sourcing and conflict-free replicated data types (CRDTs) to support an offline-first point of sale and ordering via Owner's online and white-labeled app experiences. It relies on a small group of people, with high agency, who understand those patterns deeply.
We need another Staff-level engineer who can reason about this kind of system quickly, share the architectural load with the rest of the team, and make the platform more resilient as the team and the business grow.
Our Tech Stack- Core patterns: Event sourcing, Fog/cloud distribution (we run a version of our server code in every restaurant on a point of sale device), caching of critical data to support offline mode, app distribution, and device configuration.
- Languages: Kotlin, Typescript, React/React Native
- Infrastructure and observability: Kubernetes, ArgoCD, Datadog, Postgresql, SQLite, OpenTelemetry Collectors, Kafka.
The impact you'll have- Act as an architect within the Orders Platform team, setting technical direction for how orders are modeled, stored, replicated, and reconciled
- Design and build event-sourced and replicated-state systems that stay correct under retries, network partitions, concurrent edits, and partial failure
- Partner closely with Product, Payments, Reporting, and the engineers on our point of sale and mobile surfaces to ship reliable ordering flows end to end
- Review designs and code, mentor engineers, and help the team build deep fluency in these patterns
- Improve observability, replay, and recovery so we can find and fix order-state problems quickly while minimizing costs.
- Reduce bus factor risk by sharing context and documenting how the platform works
What we're looking forYou have a track record of building correctness-critical distributed systems.
Required experience- Hands-on experience with event sourcing, CRDTs, or comparable approaches to replicated and offline-first data (for example, sync engines or conflict resolution layers)
- Experience with idempotency, optimistic concurrency, event replay, projections, and reconciliation
- Comfort reasoning about "what happens if this node disappears halfway through the operation?" and designing for it
- Ability to pick up a specialized technology quickly and make it more robust
- Staff-level experience leading technical direction without losing touch with the code
- Clear written and verbal communication, and a habit of making complex systems easier for others to understand
Payments and ordering backend experience preferred- Backend experience in payment or ordering systems
- Ability to partner with our payments and reporting team while owning the order side of money-moving flows
Customer Obsession & Empathy- Being unafraid to work directly with restaurants to solve their needs (including in person visits, phone/text communication, and more).
- Ideally, but not required, you have experience working in restaurants, retail, or IT at some point in your career.
Compensation and benefits- The estimated starting base salary range for this role is $240K-$260K USD depending on level, location and experience, plus a generous pre-IPO equity package
- Other benefits include comprehensive health coverage, work from anywhere (remote-first workplace), unlimited PTO - plus extra fun perks!
