Cloud Ops Engineer - Scalable SaaS & 24/7 On-Call

V2 Solutions

Hinoba-an

On-site

PHP 1,000,000 - 1,800,000

Full time

14 days+

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Job summary

Model N is seeking an experienced Cloud Operations engineer to design, implement, and support scalable SaaS solutions for enterprise customers. You will collaborate across Development, Product, and other teams to maintain cloud-based services and ensure high availability.

The role requires 4–6 years in systems engineering with DevOps, hands-on Kubernetes and cloud experience, and strong scripting and automation skills. Expect a fast-paced environment and 24x7 on-call rotations.

Qualifications

BE / B Tech / ME / M Tech with 4-6 years of systems/application engineering experience with DevOps experience.
Minimum 3+ years of hands-on experience in application support or cloud operations.
Solid understanding and hands-on experience with Docker, Kubernetes, and EKS platforms and related technologies.
Minimum 1 year of working experience operating at least one Kubernetes distribution (e.g., EKS) in production.
Hands-on experience in setting up auto-scaling for Kubernetes & EMR clusters.
Hands-on administration experience with Cloud Platforms such as AWS, OCI, and GCP.
Expert knowledge of AWS platform and services as well as hybrid and multi-cloud solutions.
Knowledge of Kubernetes (K8), ArgoCD, HelmChart.
1-2 years of working experience on Istio or service mesh.
Strong working experience on CI/CD processes and tools like Jenkins, Github, Maven, Helm Charts, and Git.
Proficient in provisioning and Infrastructure-as-code technologies such as Ansible, Terraform, and Cloud formation.
Solid knowledge of scripting in Python, Shell Scripting, Groovy, or Perl.
Advance troubleshooting skills.
Experience with Application Middleware platforms such as Jboss, Apache, Tomcat, and NGINX.
Strong experience on Operating Systems - Linux (RedHat, Oracle Linux, CentOS, OEL, Ubuntu, Amazon Linux).
Networking concepts: DNS, firewalls, SFTP, file systems, LDAP.
Monitoring and APM tools: Prometheus, Grafana, ELK/EFK, NewRelic, Zabbix.

Responsibilities

Troubleshoot and resolve production and non-production issues within defined SLAs.
Assess incident severity and respond to minimize customer impact.
Analyze system logs and debug issues to restore services quickly.
Perform root cause analysis (RCA) and recommend preventive measures.
Communicate incident status and updates to stakeholders effectively.
Deploy, monitor, and support application releases across environments.
Identify recurring issues, analyze trends, and propose long-term solutions.
Automate manual processes to improve operational efficiency.
Participate in a 24x7 on-call rotation to ensure continuous support.
Work effectively in a fast-paced, high-pressure environment with flexible schedules.