Azure Cloud Systems Engineer
Technoyon India Pvt. Ltd. · United States · 4 mo ago
RemoteRemoteInformation TechnologyVolunteer
Key Responsibilities
- Support the stability, reliability, and sustainability of cloud-based networks and software systems.
- Aid in system integration, verification, and validation activities.
- Maintain distributed virtual machine (VM) environments across cloud platforms.
- Develop and implement proactive engineering mechanisms to monitor system health, performance, and availability.
- Troubleshoot and resolve system performance, configuration, and operational issues.
- Conduct supportability and effective analysis to improve system operations.
- Perform functional analysis, timeline analysis, and trade studies to support system design and improvements.
- Collaborate with engineering teams to enhance automation, scalability, and operational efficiency.
- Develop and maintain technical documentation, operational procedures, and runbooks.
- Ensure compliance with DoD cybersecurity standards and operational requirements.
- Participate in continuous learning and technical development initiatives.
Required Qualifications
- Bachelor’s degree in computer science, Information Technology, Systems Engineering, or related field.
- Basic knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Understanding of Windows or Linux operating systems.
- Knowledge of networking fundamentals and virtualization concepts.
- Strong analytical and problem-solving skills.
- Ability to work effectively in a team-oriented DoD environment.
Preferred Qualifications
- Internship or academic experience supporting cloud or infrastructure environments.
- Exposure to VMware, Hyper-V, or virtualized environments.
- Basic scripting experience (PowerShell, Python, or Bash).
- Familiarity with automation or Infrastructure-as-Code concepts.
- Experience supporting Federal or DoD programs.
- IAT Level II certification required.
- Must obtain one or more Cloud Certifications within 6 months of hire (AWS, Azure, or Google Cloud preferred).