Backend Engineer (Full-time) at Kata.ai

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 & 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

We value a flexible working hour for our employees.

The most important is we provide a learning experience in Conversational AI Industry.