Responsibilities:
Troubleshoot and resolve production and non-production issues within defined SLAs
Assess incident severity and respond appropriately 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
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 rapid-paced, high-pressure environment with adaptable schedules
Solid knowledge of operating systems: Linux (OEL, CentOS, Ubuntu, Amazon Linux)
Experience with middleware technologies: JBoss, Apache, Tomcat, NGINX
Familiarity with DevOps tools: Jenkins, Terraform, Git, Ansible
Scripting skills in Bash/Shell, Python, Perl, or Groovy
Solid understanding of networking concepts: DNS,



firewalls, SFTP, file systems, LDAP
Experience with containerization technologies (e.g., Docker, Kubernetes)
Hands-on experience with monitoring tools such as Zabbix, Prometheus, Grafana, ELK stack
Experience working with AWS, OCI, or other cloud platforms
Familiarity with collaboration tools like JIRA and Confluence
Advance troubleshooting skills

Nice to Have
AWS or other cloud certifications
Experience with Agile methodologies (Scrum/Kanban)
Knowledge of databases (Oracle or other RDBMS) and data migration tools
Exposure to big data technologies like Hadoop or Spark
Experience with WebSphere, WebLogic, datahub
Familiarity with Elasticsearch, Kibana, EMR
Experience supporting tools like Informatica. cognos or Looker
Monitoring tools - Zabbix,graylog etc.

About Model N

📌 Cloud Operations Engineer Hyderabad
🏢 Model N
📍 Hyderabad