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Backend Engineer (Java, API)

Sundayy

hybridmidpermanentbackend United States Today via LinkedIn

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Tags

KotlinJavaJVMGraphQLREST APIsFirestoreTwilioDialogflowDockerTest-Driven Development (TDD)

About the role

Role Overview

Backend Engineer focused on building scalable backend services and APIs for Slang AI’s conversational voice products for restaurants.

Responsibilities

  • Design, develop, and maintain scalable backend services primarily in the Kotlin/JVM ecosystem
  • Create and optimize GraphQL APIs for internal and external clients
  • Build integrations with:
    • Twilio (telephony)
    • Dialogflow (conversational AI flows)
  • Create and maintain Firestore data models optimized for performance, cost, and maintainability
  • Implement observability (logging, metrics, tracing, alerting)
  • Write automated tests (unit, integration, end-to-end)
  • Participate in code reviews and collaborate with product managers, conversation designers, and engineers
  • Document systems and help drive continuous improvement
  • Contribute to occasional frontend components in React/TypeScript as needed

Qualifications

  • 3–5 years of professional software development, primarily backend
  • Strong proficiency with JVM languages, especially Kotlin (also Java/Scala)
  • Solid understanding of functional programming concepts
  • Experience building and consuming RESTful or GraphQL APIs
  • Familiarity with NoSQL and data modeling (specifically Firestore preferred)
  • Experience with Docker
  • Hands-on experience with cloud platforms: GCP, AWS, or Azure
  • Strong testing knowledge, including TDD and automated testing
  • Excellent debugging and problem-solving skills
  • Basic familiarity with React and TypeScript
  • Ability to work independently and manage time in remote or hybrid settings
  • Effective written and verbal communication

Nice to Have / Growth

  • Participate in on-call rotations approximately every two months
  • Mentoring junior engineers via code reviews and pair programming

About Sundayy

Slang AI builds conversational AI solutions for the restaurant industry, focusing on seamless, human-like voice interactions that improve customer experiences and streamline operations. The team combines industry expertise to deliver scalable hospitality technology used by restaurants and customers worldwide.

Scraped 8/4/2026