Devops Engineer

Vyro.ai is seeking a skilled and passionate DevOps Engineer to join our team. The ideal candidate will have experience in building, operating, and delivering scalable, resilient, and secure Kubernetes-native solutions. The role involves managing AWS and GCP infrastructure, ensuring zero-downtime deployments, and working with modern continuous integration and monitoring tools.

Key Responsibilities:

• Design, build, and maintain scalable and resilient Kubernetes-native solutions.
• Manage AWS & GCP infrastructure using Terraform.
• Implement and manage continuous integration pipelines (Jenkins, GitLab CI, CircleCI).
• Ensure zero-downtime deployments using Kubernetes, ArgoCD, GitLab CI, and Helm.
• Administer and optimize Rook/Ceph clusters for distributed storage solutions.
• Design and implement advanced networking solutions for Kubernetes using Calico, Cilium, CNI, and PureLB.
• Monitor and maintain system performance using tools like Prometheus, Grafana, ELK Stack, and Fluentd.
• Collaborate with development teams to ensure seamless integration and deployment.

Required Skills:

• Strong experience with AWS, CI tools, and Terraform.
• Proficiency in programming using Bash, Shell, or Python.
• Deep understanding of Kubernetes operations and deployments.
• Hands-on experience with Kubernetes-related tools like ArgoCD, Helm, and GitLab CI.
• Familiarity with advanced networking for Kubernetes (Calico, Cilium, CNI, PureLB).
• Experience managing distributed storage systems with Rook/Ceph.
• Proficiency with monitoring and alerting tools like Prometheus, Grafana, ELK Stack, Fluentd.
• Knowledge of Kubevirt VM operators is a plus.

Qualifications:

• Proven experience as a DevOps Engineer or in a similar role.
• Expertise in Kubernetes operations, AWS, GCP, and Terraform.
• Strong problem-solving skills and the ability to troubleshoot complex infrastructure issues.
• Excellent communication skills and the ability to work in a team environment.