Level 2 Support Cloud

Role Overview: As a Level 2 Lab Support Engineer at Saras AI, your primary responsibility will be to set up, manage, support, and troubleshoot cloud-based learning labs for the institute. You will play a crucial role in provisioning and maintaining coding environments such as Python, cloud sandboxes, and Codio-style platforms. Your focus will be on supporting students and instructors during lab sessions, resolving access and environment issues, enabling AI code-generation assistants, and ensuring the smooth operation of lab activities across various training programs. Key Responsibilities: - Set up, configure, maintain, and troubleshoot cloud-based lab environments using platforms like AWS, GCP, Azure, or similar. - Utilize Python scripts and automation to provision, reset, and manage student lab environments and sandbox instances. - Configure and provide support for coding platforms including Codio, Jupyter, VS Code environments, containers, and cloud-based sandbox labs. - Offer Level 2 technical support to students and instructors during lab sessions, workshops, and live classes. - Troubleshoot lab access issues, environment configuration problems, authentication issues, and platform-related incidents. - Support and integrate AI code assistants like GitHub Copilot within learning environments. - Work with tools like GitHub Codespaces or similar cloud development environments. - Maintain observability and monitoring layers, encompassing logging, performance monitoring, debugging tools, and VS Code extensions. - Monitor lab usage, uptime, cloud costs, and overall platform health; proactively identify and resolve operational issues. - Maintain environment templates, documentation, troubleshooting guides, FAQs, and operational runbooks. - Collaborate closely with faculty and curriculum teams to prepare, validate, and support labs before and during sessions. - Coordinate with curriculum teams, instructors, platform vendors, and IT/cloud teams for issue resolution and environment readiness. - Track, document, and manage incidents, service requests, escalations, and resolutions using support or ticketing systems. - Escalate complex infrastructure or platform issues to appropriate teams and ensure timely follow-up until resolution. Qualification Required: - Hands-on experience with cloud platforms such as AWS, GCP, or Azure. - Proficient in Python scripting for automation and provisioning. - Experience with tools like Docker, Git, and development workflows. - Familiarity with Codio or similar platforms, and cloud IDEs like VS Code, Jupyter, Codespaces. - Exposure to AI code assistants like GitHub Copilot. - Understanding of observability tooling and VS Code extensions. - Strong troubleshooting skills and ability to communicate technical topics to non-technical stakeholders. Additional Details: - Preferred Experience supporting training institutes or bootcamps. - Knowledge of Linux administration and networking fundamentals. - Experience in cloud cost monitoring and optimization. - This is a local position only. Role Overview: As a Level 2 Lab Support Engineer at Saras AI, your primary responsibility will be to set up, manage, support, and troubleshoot cloud-based learning labs for the institute. You will play a crucial role in provisioning and maintaining coding environments such as Python, cloud sandboxes, and Codio-style platforms. Your focus will be on supporting students and instructors during lab sessions, resolving access and environment issues, enabling AI code-generation assistants, and ensuring the smooth operation of lab activities across various training programs. Key Responsibilities: - Set up, configure, maintain, and troubleshoot cloud-based lab environments using platforms like AWS, GCP, Azure, or similar. - Utilize Python scripts and automation to provision, reset, and manage student lab environments and sandbox instances. - Configure and provide support for coding platforms including Codio, Jupyter, VS Code environments, containers, and cloud-based sandbox labs. - Offer Level 2 technical support to students and instructors during lab sessions, workshops, and live classes. - Troubleshoot lab access issues, environment configuration problems, authentication issues, and platform-related incidents. - Support and integrate AI code assistants like GitHub Copilot within learning environments. - Work with tools like GitHub Codespaces or similar cloud development environments. - Maintain observability and monitoring layers, encompassing logging, performance monitoring, debugging tools, and VS Code extensions. - Monitor lab usage, uptime, cloud costs, and overall platform health; proactively identify and resolve operational issues. - Maintain environment templates, documentation, troubleshooting guides, FAQs, and operational runbooks. - Collaborate closely with faculty and curriculum teams to prepare, validate, and support labs before and during sessions. - Coordinate with curriculum teams, instructors