About The Position

Design, develop, and maintain scalable and reliable backend services and APIs that power client-facing AI products — ensuring high availability, security, and seamless integration with AI engines, third-party communication platforms, and cloud infrastructure — so that enterprise clients can deliver exceptional customer experiences through Kata's conversational AI and voice solutions.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
  • Languages: Go, or Node.js
  • Database: PostgreSQL, MySQL, MongoDB, Redis (caching and session management)
  • API Design: RESTful APIs, WebSocket
  • Cloud: GCP or Azure — compute, cloud storage, managed services, and IAM
  • Containerization: Docker, Kubernetes
  • CI/CD: GitLab CI, GitHub Actions, or equivalent pipelines
  • Message Queues: RabbitMQ, Kafka, or Google Pub/Sub
  • Security: JWT/OAuth2 authentication, API rate limiting, data encryption best practices
  • Monitoring: Familiarity with Prometheus, Grafana, or ELK stack for observability
  • 1–2 years of professional experience in backend software development
  • Hands-on experience building and consuming RESTful APIs in production environments
  • Exposure to cloud platforms (GCP or Azure) — compute, storage, or managed services
  • Experience working with relational databases (PostgreSQL or MySQL) in a production setting
  • Familiarity with containerization using Docker and basic Kubernetes operations
  • Experience working in Agile/Scrum teams with sprint-based delivery
  • 3–5 years of professional experience in backend development, with at least 2 years in production-grade, high-traffic API systems
  • Proven experience designing and maintaining scalable REST APIs serving enterprise or high-volume workloads
  • Hands-on experience with GCP or Azure — including IAM, managed databases, cloud storage, and observability tools
  • Experience with asynchronous messaging systems (RabbitMQ, Kafka, or Google Pub/Sub)
  • Demonstrated ability to implement CI/CD pipelines and enforce code quality standards
  • Experience working in cross-functional squads alongside AI, Frontend, QA, and DevOps engineers

Nice To Haves

  • Relevant certifications (GCP/Azure, Kubernetes, etc.)
  • GraphQL is a plus

Benefits

  • flexible working hour
  • learning experience in Conversational AI Industry
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