We are seeking a highly skilled and motivated AI/ML DevOps Engineer to join our team. The ideal candidate will be responsible for building and maintaining a scalable and reliable infrastructure environment, implementing and automating CI/CD processes, and optimizing system performance to ensure high availability and efficient operation.
Responsibilities:
- Build and maintain a scalable and reliable infrastructure environment to support the development and deployment of software applications.
- Implement and automate continuous integration and continuous deployment (CI/CD) processes to streamline software delivery and accelerate time to market.
- Monitor system performance, troubleshoot issues, and proactively identify opportunities for optimization and enhancement to ensure high availability and efficient operation of the infrastructure.
Requirements:
- Minimum 3+ years of experience
- Proficiency in Continuous Integration/Continuous Deployment (CI/CD) processes.
- Strong skills in automation scripting (e.g., Python, Shell script).
- Experience with Infrastructure as Code (IaC).
- Expertise in Google Cloud Platform and GCP Native Services.
- Knowledge of monitoring and logging tools such as Prometheus and ELK stack.
- Understanding of networking and firewall configurations.
- Proficient knowledge of Docker Containers and Containerization technologies.
- Educational Qualification - Engineer
