Backend Engineer (Full-time)
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.
Qualifications
Qualifications & Education :
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
- Relevant certifications (GCP/Azure, Kubernetes, etc.) are a plus
Technical Skills :
- Languages: Go, or Node.js
- Database: PostgreSQL, MySQL, MongoDB, Redis (caching and session management)
- API Design: RESTful APIs, WebSocket; GraphQL is a plus
- 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
Experience
Associate Level (1–2 years)
- 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
Mid Level (3–5 years)
- 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
Additional Information
We value a flexible working hour for our employees.
The most important is we provide a learning experience in Conversational AI Industry.