Description

• Cloud Operations & Management: Monitor, maintain, and optimize core cloud infrastructure across AWS, GCP or Azure, ensuring high availability and performance.
• Infrastructure as Code (IaC): Design, build and maintain production-grade infrastructure utilizing Terraform as the primary provisioning tool.
• Cross-Cloud Collaboration: Actively learn and cross-skill into alternate cloud platforms (e.g., transitioning or expanding from AWS to GCP/Azure) to support our multi-cloud strategy.
• 24x7 Operations & On-Call Support: Participate in a rolling 24x7 on-call shift rotation to provide critical incident response, troubleshooting and production support.
• Automation-First Culture: Constantly identify manual operational bottlenecks and eliminate them through scripting (Python, Bash) and CI/CD pipelines.
• Observability & Monitoring: Maintain and enhance enterprise monitoring, logging, and alerting systems (e.g., Datadog, Prometheus, ELK Stack) to preemptively catch infrastructure degradation.

Qualifications:
Required Skills & Qualifications

• Experience: 5-8 years of professional experience in Cloud Operations, DevOps or Site Reliability Engineering (SRE).
• Cloud Expertise: Deep, hands-on architectural and operational knowledge of at least one of the following:
  • AWS (EC2, S3, RDS, EKS, IAM, CloudWatch)
  • Google Cloud / GCP (GCE, GCS, GKE, Cloud Logging, IAM)
  • Microsoft Azure (AKS, Azure VMs, Azure Storage, Entra ID, Monitor)
• Infrastructure as Code: Advanced, production-proven experience with Terraform (modules, state management, workspaces) is a strict requirement.
• Operating Systems & Scripting: Strong proficiency in Linux/Unix administration and scripting languages (Python, Go, or Bash) for infrastructure automation.
• Flexibility: Explicit willingness and aptitude to learn and support alternative cloud platforms as business needs evolve.
• Availability: Absolute readiness to work in a 24x7 operational environment, including night shifts, weekends and on-call rotations.

Preferred & Added Advantages

• AI & AIOps Exposure: Experience or a strong interest in incorporating AI/ML tools into operations (e.g., predictive analytics, automated anomaly detection, AI-driven incident correlation, or managing infrastructure supporting AI workloads).
• Containerization: Hands-on experience with Docker and Kubernetes (EKS/GKE/AKS) orchestration.
• Certifications: Valid professional-level certifications in AWS, GCP, Azure, or HashiCorp Terraform are highly desirable.

Education

• Any Graduate
• Experience: 5.1 to 8 years
• Cloud Monitoring & Observability
• Incident Management & Troubleshooting
• Public Cloud Platforms (AWS/Azure/GCP)
• Performance & Capacity Management
• Alerting & Monitoring Tools Administration

Key Skills

Education

Any Gradute