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Cloud Ops Engineer - US Hours (LATAM. EU etc)

Work from home Full-time role Hiring

Any region supporting US Hours (LATAM. EU etc)

Key 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
  • 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 ________________________________________ Required Skills & Experience
  • 5+ years of hands-on experience in application support or cloud operations
  • Strong knowledge of operating systems: Linux (OEL, CentOS, Ubuntu, Amazon Linux) and Windows
  • 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
  • Knowledge of Kubernetes (K8), ArgoCD, HelmChart
  • Knowledge & Experience on JIRA,Confluance.
  • 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 ________________________________________ 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
  • Familiarity with Elasticsearch, Kibana, EMR
  • Experience supporting tools like Informatica or Looker

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