Backend Engineer, POS & Integrations

PrestoDallas, TX
$110,000 - $150,000

About The Position

Presto is the leading Voice AI company for restaurant drive-thrus, operating at scale in complex, noisy, customer-facing environments. As the AI partner to some of the most iconic restaurant brands in the U.S., Presto is transforming the drive-thru into a revenue engine through AI-driven ordering, personalization, and operational efficiency. AI is not a feature at Presto, it is the foundation of how we build, evaluate, and evolve our products. We operate with rapid iteration cycles and solve real-world problems where latency, reliability, and accuracy directly impact millions of customer interactions. This may not be the right fit if you're looking for a traditional 9-to-5 environment. We move at the pace of AI. Roadmaps evolve quickly, and we value builders who thrive in ambiguity, take ownership, and are excited to shape the future of real-world AI systems. We are looking for a Backend Engineer to help build and scale the core systems that power Presto's Voice AI platform. This role sits at the heart of our POS & Menu Integration team, where you will design and maintain the backend infrastructure that enables real-time voice ordering. You'll work on ingesting, normalizing, and synchronizing data across a wide range of Point of Sale (POS) systems, ensuring our platform understands menus, availability, pricing, and ordering logic in real time. Success in this role requires strong backend engineering fundamentals, a systems-thinking mindset, and the ability to build highly reliable, scalable services in a fast-paced environment.

Requirements

  • 4+ years of experience in backend or distributed systems engineering.
  • Proficiency in one or more backend languages (Node.js, Python, Java, Go, Ruby).
  • Strong experience designing and building RESTful and/or GraphQL APIs.
  • Deep understanding of APIs, webhooks, and data synchronization patterns.
  • Experience with relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB) and caching systems (Redis).
  • Familiarity with event-driven architectures and message queues (Kafka, RabbitMQ, etc.).
  • Experience with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines.
  • Strong understanding of system performance, scalability, and reliability.
  • Experience with Git and modern development workflows.

Nice To Haves

  • Experience working with restaurant technology, retail systems, or delivery platforms.
  • Familiarity with POS systems and menu structures (modifiers, pricing rules, ordering logic).
  • Experience contributing to POS integration libraries or SDKs.
  • Exposure to voice AI or conversational ordering systems.

Responsibilities

  • Build and scale backend systems
  • Design and develop scalable APIs, services, and data pipelines.
  • Build systems that ingest, normalize, and sync POS and menu data across multiple integrations.
  • Ensure high availability, reliability, and performance of production systems.
  • Own system performance and reliability
  • Optimize systems for latency, scalability, and uptime.
  • Monitor, troubleshoot, and resolve production issues.
  • Implement best practices for security and data protection.
  • Write high-quality, maintainable code
  • Write clean, efficient, and well-documented code.
  • Develop reusable and testable components with strong emphasis on test coverage.
  • Participate in code reviews and contribute to engineering best practices.
  • Contribute to architecture and infrastructure
  • Design backend architectures and make key technical decisions.
  • Set up and manage infrastructure for owned services.
  • Work with event-driven systems and data synchronization patterns.
  • Collaborate across teams
  • Partner with product, AI, and integration teams to deliver new features.
  • Translate real-world restaurant workflows into scalable technical solutions.
  • Contribute to technical documentation and system design discussions.

Benefits

  • medical, dental, and vision insurance
  • a 401(k) program
  • paid time off (PTO)
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