Please find the JD
Automation: Automate infrastructure provisioning, deployment and scaling processes using IaC (Infrastructure as Code) methodologies.
Observability: Develop and maintain observability systems to monitor the health and performance of applications and proactively identify and resolve issues.
Kubernetes Expertise: Leverage your deep understanding of Kubernetes architecture to design and optimize deployment and orchestration of AI services in containerized environments.
Scale and Performance Optimization: Work on scale and performance tuning and optimization of AI services to ensure efficient, responsive operation for handling large volumes of requests.
Security Compliance: Ensure that AI services and APIs meet security and compliance standards, collaborating closely with security teams to implement necessary measures.
On-Call: Participate in SRE on-call rotation to swiftly respond to and resolve system issues, ensuring optimal performance and reliability of AI services around the clock.
Basic Skills:
- Expertise in infrastructure automation tools like Terraform, Ansible (Configuration Management)
- Strong experience with cloud services Google Cloud Platform and container orchestration tools (Kubernetes, Docker)
- Proficiency in programming languages such as Python, Go
- Deep understanding of networking (VPC/Shared VPC/PSA), security and database technologies