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Salary: USD 160,000 - 180,000 / annual
Seated is a marketplace platform connecting restaurants with high-intent diners through demand-driven pricing and rewards. The company helps restaurants fill empty tables, reach new guests, increase visit frequency, and drive profitable incremental revenue. Seated operates across 20+ U.S. markets and is expanding nationally, with billions of dollars in restaurant spend flowing through the platform.
You will join a fast-paced, metric-driven engineering team focused on building and scaling the backend systems that power Seated's growing platform. This is a mid-level backend engineering role with strong ownership and a direct voice in product design.
Key responsibilities include:
- Design, build, and maintain scalable backend systems powering core platform services
- Partner with business stakeholders to translate requirements into well-implemented, deterministic workflows and services
- Build reliable, fault-tolerant distributed systems with strong coding, testing, observability, performance, and reliability practices
- Contribute to technical design for high-performance, service-oriented architectures
- Scale backend services and microservices for high throughput and low latency
- Translate business needs into live features and partner directly with business owners
- Maintain strong voice in product design and ownership across coding, QA, and production support
This role is on-site, 5 days a week, working from the Flatiron office in NYC.
REQUIREMENTS:
- Bachelor's degree in Computer Science or Engineering
- 3+ years of experience shipping production payment/fintech systems
- Strong understanding of backend architecture and distributed systems design
- Ability to quickly learn new payment technologies and apply them to real-world solutions and product design
- Proficiency in Java and the Spring Boot framework, or equivalent expertise in a similar object-oriented language
- Experience building high-availability systems, including low-latency APIs and distributed RESTful/gRPC services
- Practiced in backward compatibility, deterministic behavior, and idempotency
PREFERRED EXPERIENCE:
- Solid knowledge of distributed databases and scalable, fault-tolerant caching
- Experience with AI agents and prompt engineering; able to build web features using agentic workflows and modern frontend frameworks
- Cloud experience (AWS or GCP), containerization (Docker)
- Familiarity with AWS services such as ECS, RDS, and Kinesis
- Observability tools like Datadog
- Experience with workflow orchestration engines (Temporal, Cadence, or AWS Step Functions)
