Senior DevOps Engineer -AI Infrastructure and Automation

Job Summary

We are seeking a highly experienced Senior DevOps Engineer with 7-8 years of hands-on experience in cloud infrastructure management, DevOps automation, container orchestration,

CI/CD implementation, Infrastructure as Code (IaC), and AI-powered engineering practices. The ideal candidate will possess extensive expertise in AWS, Hetzner Cloud, Linux administration,

Kubernetes, Docker, and cloud security while driving infrastructure scalability, reliability, and operational excellence.

This role will be responsible for leading cloud strategy initiatives, implementing automation frameworks, supporting AI/ML infrastructure requirements, optimizing cloud costs, and mentoring engineering teams on DevOps best practices.

Key Responsibilities

• Design, implement, and maintain highly available, scalable, and secure cloud infrastructure environments.
• Build and manage CI/CD pipelines across multiple production applications.
• Lead Infrastructure as Code (IaC) initiatives using Terraform, Ansible, and

CloudFormation.

• Manage Docker and Kubernetes production environments and ensure high availability.
• Administer AWS and Hetzner Cloud infrastructure including networking, firewalls, load balancers, and storage services.
• Configure and manage Linux servers, Nginx, Apache, DNS, SSL certificates, and

GoDaddy domain services.

• Implement monitoring, centralized logging, backup management, disaster recovery, and infrastructure security practices.
• Drive cloud cost optimization initiatives across infrastructure environments.
• Support deployment and scaling of AI/ML workloads and AI-assisted engineering solutions.
• Utilize AI-powered tools such as GitHub Copilot, ChatGPT, Claude, Cursor AI, and

OpenAI APIs to automate engineering workflows.

• Lead production deployments, release management activities, and root cause analysis for critical incidents.
• 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.

Required Technical Skills

• AWS (EC2, IAM, VPC, ECS, EKS, S3, RDS, CloudWatch, Route53)
• Hetzner Cloud
• Docker &
• Kubernetes
• Terraform, Ansible &
• CloudFormation
• GitHub Actions, GitLab CI/CD, Jenkins &
• Azure DevOps
• Linux Administration
• Prometheus, Grafana, ELK Stack, Loki, Datadog and New Relic
• GoDaddy Domain &
• DNS Management
• Nginx &
• Apache Configuration
• Cloud Security &
• Disaster Recovery Planning
• Bash, Python and PowerShell scripting
• AI-assisted DevOps and Infrastructure Automation

Educational Qualification

Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field.

Soft Skills

Leadership & Mentorship

Problem-solving abilities

Excellent communication skills

Strong ownership mindset

Stakeholder management

Proactive and innovative approach