Jobs · Information Technology

Cloud Support Engineer

CitiusTech · United States · 5 days ago
RemoteRemoteInformation TechnologyFull-time

Key Responsibilities

  • Provide Level 2/3/4 technical support for AWS cloud infrastructure issues and incidents
  • Troubleshoot and resolve Kubernetes (EKS) deployment, configuration, and operational issues
  • Diagnose and resolve CI/CD pipeline failures in GitLab CI environments
  • Support teams with Infrastructure as Code (Terraform, CloudFormation) implementation and issues
  • Analyse infrastructure logs, metrics, and traces to identify root causes
  • Respond to and escalate critical incidents with appropriate urgency and documentation
  • Monitor and manage Control-M jobs and workflows
  • Troubleshoot: Job failures, Dependency issues, Scheduling delays
  • Maintain and update runbooks for batch operations

Qualifications

  • 8-11 years of hands-on expertise in cloud infrastructure and operations
  • Deep technical expertise on technologies like AWS, Kubernetes (EKS), Control-M scheduling, and Gitlab CI/CD enterprise activities
  • Hands-on experience in monitoring/observability tools such as Prometheus, Grafana, and Dynatrace
  • Exposure to ServiceNow dashboards and ITSM workflows

Life at CitiusTech

We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance.

About the Role

We are seeking a highly skilled, experienced Cloud Operations Specialist with 8-11 years of hands-on expertise in cloud infrastructure and operations. The candidate will possess deep technical expertise on technologies like AWS, Kubernetes (EKS), Control-M scheduling, and Gitlab CI/CD enterprise activities. The role involves managing production environments, ensuring high availability, performance, and reliability, and enabling automation-driven operations.

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