About the job
About the Role:
We are seeking a dynamic and skilled DevOps Engineer to join our innovative team, focusing on the operation and enhancement of our advanced text-recognition solution, which primarily facilitates communication with local authorities. This position merges both administrative and technical duties, concentrating on ensuring efficient operations, monitoring system performance, and implementing enhancements to boost application reliability and precision.
Your Responsibilities:
- Manage, maintain, deploy, and monitor our AI-driven text recognition application hosted on Google Cloud Platform (GCP).
- Enhance and optimize the application's cloud architecture and resource allocation for scalability, cost-efficiency, and reliability.
- Automate monitoring, alerts, and incident resolution wherever possible.
- Integrate and oversee partner system connections utilizing REST APIs and API Gateways.
- Support the operation and maintenance of Large Language Model (LLM) endpoints hosted on Azure.
- Track the technical performance of the AI model, including its statistical accuracy indicators and user feedback.
- Create and refine Document Intelligence models within Microsoft Azure.
- Facilitate operations by assisting Incident, Problem, and Change Management processes.
- Continuously enhance the Monitoring and Alerting capabilities of the application.
- Assist in resolving Service Desk Tickets from our internal customers.
- Further develop and optimize simple rules in Python to enhance application output quality.
- Deploy and manage use cases via GitLab pipelines.
- Integrate services to enhance application functionality and improve API management.
- Conduct administrative tasks such as user management and technical activities including network configuration, Infrastructure as Code (IaC) deployment, and service monitoring.

