Backend Engineer (Java, API)
Sundayy
hybridmidpermanentbackend United States Today via LinkedIn
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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