Senior DevOps Engineer – AI Infrastructure & Automation

Design, implement, and maintain highly available, scalable, and secure cloud 
infrastructure environments. 
2. Build and manage CI/CD pipelines across multiple production applications. 
3. Lead Infrastructure as Code (IaC) initiatives using Terraform, Ansible, and 
CloudFormation. 
4. Manage Docker and Kubernetes production environments and ensure high availability. 
5. Administer AWS and Hetzner Cloud infrastructure including networking, firewalls, load 
balancers, and storage services. 
6. Configure and manage Linux servers, Nginx, Apache, DNS, SSL certificates, and 
GoDaddy domain services. 
7. Implement monitoring, centralized logging, backup management, disaster recovery, and 
infrastructure security practices. 
8. Drive cloud cost optimization initiatives across infrastructure environments. 
9. Support deployment and scaling of AI/ML workloads and AI-assisted engineering 
solutions. 
10. Utilize AI-powered tools such as GitHub Copilot, ChatGPT, Claude, Cursor AI, and 
OpenAI APIs to automate engineering workflows. 
11. Lead production deployments, release management activities, and root cause analysis 
for critical incidents. 
12. Mentor junior DevOps engineers and establish organization-wide DevOps best practices. 
13. Collaborate with Development, QA, Security, AI, and Product teams to improve delivery 
efficiency.