VELZI.AI LIMITED

DevOps Engineer

• Build, maintain, and scale a secure, cloud-native infrastructure across GCP, Azure, and AWS
• Work closely with our engineering team to ensure seamless deployment pipelines, reliable environments, and high-performance systems
• Design, deploy, and maintain cloud infrastructure across GCP, Azure, and AWS
• Manage and optimize compute environments including Virtual Machines, Cloud Run, and container orchestration platforms
• Architect scalable, multi-region solutions with high availability, redundancy, and strong security practices
• Manage and monitor cloud storage solutions such as GCP Cloud Storage, Azure Blob Storage, and AWS S3
• Build, deploy, and manage containers using Docker
• Deploy and manage services on Kubernetes (GKE / AKS / EKS)
• Implement auto-scaling strategies, load balancing, and autoschedulers
• Optimize resource utilization and cost efficiency across environments
• Build and maintain CI/CD pipelines (GitHub Actions, GitLab, or similar)
• Automate deployments, updates, rollbacks, and environment provisioning
• Create infrastructure-as-code using tools like Terraform or Pulumi
• Ensure secure API communication between our Next.js app and backend services
• Implement monitoring, logging, and alerting systems (Prometheus, Grafana, Cloud Logging, Azure Monitor, CloudWatch, etc.)
• Ensure compliance, data protection, and identity management across clouds
• Work with Firebase Authentication, secure API gateways, and IAM policies
• Collaborate with engineers to support API creation and deployments
• Optimize performance of server environments running in Cloud Run or VMs
• Implement failover systems, disaster recovery, and backup strategies
• Ensure reliable operation of services including SES / SendGrid, databases, and microservices
• Work closely with backend, AI, and product teams to support rapid iteration
• Establish DevOps best practices, guidelines, and internal documentation
• Conduct root-cause analysis, implement fixes, and prevent future incidents
• Help shape the engineering culture by improving processes, scalability, and system observability