Posted Jul 11, 2026

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

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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