Jobs → Operations → Cloud Operations Engineer

Cloud Operations Engineer

Gopi Venkata PotharlankaUnited StatesMIDPosted 7d ago
Cloud OrchestrationAutomationInfrastructure as CodeScriptingSource Control ManagementAWSMicrosoft Windows ServerLinux ServerPowerShellPythonBashJSONCLI toolsGitDevOpsInfrastructure as CodeAI-Assisted EngineeringLarge Language ModelsEnterprise NetworkingDNSTCP/IPFirewallsLoad balancing
About the Role We are seeking a Cloud Operations Engineer to join our team. This role involves orchestrating and automating enterprise cloud platforms, managing environments, and delivering robust cloud solutions. Key Responsibilities • Orchestrate and automate enterprise cloud platforms using Infrastructure as Code (IaC), scripting, and Source Control Management (SCM) platforms • Own the deployment, configuration, and operation of scalable, highly available, and fault-tolerant systems across Public Cloud environments • Partner with enterprise architects to gather system requirements and deliver robust, secure, and resilient IaaS, PaaS, and SaaS solutions • Proactively monitor, audit, and debug technical issues across complex application stacks involving virtualization, containers, and microservices • Implement agency security guidelines across all cloud environments and establish proactive operational cost-control and optimization mechanisms • Author technical project documentation and maintain desk procedures and standards for cloud application protocols and platform Requirements • Strong knowledge and ability to create and administer cloud computing solutions, especially with AWS • Thorough understanding of multi-tiered application architecture and hands-on systems administration knowledge of Microsoft Windows Server and Linux Server • 3-5+ years of experience automating operational routines using PowerShell, Python, Bash, JSON, or CLI tools • Proficiency in administering and utilizing Git/SCM platforms, modern DevOps automation workflows, and Infrastructure as Code (IaC) implementations • Demonstrated proficiency in leveraging modern AI tools and Large Language Models (LLMs) to accelerate scripting, debug complex infrastructure issues, draft documentation, and optimize daily operational workflows • Solid working knowledge of core networking principles, including DNS, TCP/IP, firewalls, load balancing, and provider-level data flow controls • Demonstrated analytical problem-solving and critical-thinking skills • Ability to manage tasks independently with minimal supervision, adapt to shifting priorities, and communicate effectively across all organizational levels

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