Senior Devops Engineer - AI Infrastructure

• Design, deploy, and manage scalable infrastructure across cloud and hybrid environments (AWS, Azure, GCP, Yotta).
• Implement and maintain continuous integration and delivery (CI/CD) pipelines.
• Manage containerization and orchestration using Docker and Kubernetes.
• . Ensure security, compliance, and vulnerability management (SOC2, GDPR, ISO27001).
• Oversee system monitoring, logging, alerting, and incident response.
• Optimize infrastructure performance and cost-efficiency.
• Implement disaster recovery, backup strategies, and business continuity planning.
• Manage cloud cost, budgeting, and forecasting.
• Mentor and provide leadership to DevOps and infrastructure team members.
• Collaborate cross-functionally with developers, QA, product management, and senior stakeholders.
• Document infrastructure architecture, configurations, processes, and maintain operational reporting.

Good to have skills:

• Certifications in AWS, Azure, GCP, Kubernetes (CKA/CKAD)
• Experience in GPU-intensive workloads and AI/ML infrastructure
• Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation
• Familiarity with MLOps practices and AI model deployment.

Qualification and Experience:

• Bachelor's/Master's degree in Computer Science, IT, or related fields
• Minimum 15+ years of experience in infrastructure management and DevOps
• Extensive experience with cloud platforms, CI/CD tools, and Kubernetes
• Proven experience in infrastructure security and compliance frameworks
• Strong scripting and automation skills (Bash, Python, Ansible)