Jobs → Operations → Cloud Service Operations Engineer

Cloud Service Operations Engineer

Witchuda KunsingMIDPosted 2h ago
MongoDBMicrosoft AzureGoogle Cloud PlatformJira Service ManagementITSMCloud-native servicesAzure IoT EdgeAzure IoT HubAzure FunctionsAzure Service BusGoogle Kubernetes EngineCloud RunCloud Logging
About the Role We are seeking a Cloud Service Operations Engineer to join our IoT Platform team. This role involves monitoring and maintaining cloud services, responding to incidents, and ensuring optimal performance of our systems. Key Responsibilities • Monitor application and cloud services, respond to alarms, and act quickly on abnormal events to minimize service impact. • Provide technical support to users during incidents and service requests, investigate, reproduce, and triage issues before escalating to the Development team. • Analyze and troubleshoot application issues using logs, metrics, and dashboards, and identify whether a problem is in the application, data, configuration, or infrastructure. • Maintain and query MongoDB databases, including data validation, checking data completeness, performance checks, and supporting data corrections under controlled procedures. • Manage and maintain configuration of cloud-native services on Microsoft Azure (e.g., Azure IoT Edge, Azure IoT Hub, Azure Functions, Azure Service Bus) and Google Cloud Platform (e.g., Google Kubernetes Engine (GKE), Cloud Run, Cloud Logging), including networking, storage, IAM, and monitoring. • Track incidents and service requests through the ITSM system (e.g., Jira Service Management) and resolve them according to SLA. • Write clear bug reports and incident summaries for the Development team, and follow up until fixes are delivered and verified. • Participate in root cause analysis and recommend preventive actions to reduce recurring incidents. • Improve monitoring, alerting, and operational runbooks, and automate repetitive tasks where possible. • Document support procedures, known issues, and knowledge base articles, to ensure smooth handover and knowledge transfer. • Follow the client's operational procedures, change management process, and approval workflow. Production data changes require prior approval. • Support operational and security controls, including access management, change management, and backup. • Other related tasks as assigned by the supervisor.

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