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 Katas conversational AI and voice solutions.
Qualifications :
Qualifications & Education :
- Bachelors 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
- 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 (12 years)
- 12 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 (35 years)
- 35 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.
Remote Work :
Yes
Employment Type :
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 exceptio...
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 Katas conversational AI and voice solutions.
Qualifications :
Qualifications & Education :
- Bachelors 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
- 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 (12 years)
- 12 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 (35 years)
- 35 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.
Remote Work :
Yes
Employment Type :
Full-time
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