Job Description & How to Apply Below
Lab Administrator/Level 2 Support – Cloud & Coding Labs - Remote
Job Description
A technically strong Level 2 Lab Support Engineer is being sought to set up, manage, support, and troubleshoot cloud-based learning labs for an institute such as Saras AI. The role focuses on provisioning and maintaining coding environments (Python, cloud sandboxes, Codio-style platforms), supporting students and instructors during lab sessions, resolving lab access and environment issues, enabling AI code-generation assistants, and ensuring reliable lab operations across training programs.
The position supports programs centred on cloud computing, programming, data engineering, and AI-assisted development.
Key Responsibilities
Set up, configure, maintain, and troubleshoot cloud-based lab environments (AWS, GCP, Azure, or similar platforms).
Use Python scripts and automation to provision, reset, and manage student lab environments and sandbox instances.
Configure and support coding platforms such as Codio, Jupyter, VS Code environments, containers, and cloud-based sandbox labs.
Provide 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 (e.g., Git Hub Copilot or similar tools) within learning environments.
Work with Git Hub Code spaces or similar cloud development environments.
Maintain observability and monitoring layers, including 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 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 through resolution.
Set up, configure, and maintain cloud-based lab environments (AWS, GCP, Azure or similar).
Communication & Coordination (Critical)
Strong written and verbal communication skills in English.
Proactive updates on lab readiness, incidents, maintenance, and releases.
Ensure all stakeholders are informed of changes, outages, and timelines.
Ability to gather requirements from instructors and translate into technical setups.
Maintain clear documentation and status reporting.
Collaborate across time zones with regular overlap with U.S. working hours.
Responsiveness during live classes and troubleshooting windows.
Escalate issues early and manage expectations until resolution.
Required Skills
Hands-on experience with cloud platforms (AWS/GCP/Azure).
Strong Python scripting for automation and provisioning.
Experience with Docker, Git, and development workflows.
Familiarity with Codio or similar platforms and cloud IDEs (VS Code, Jupyter, Code spaces).
Exposure to AI code assistants (e.g., Git Hub Copilot).
Familiarity with observability tooling and VS Code extensions.
Strong troubleshooting and documentation skills.
Ability to communicate technical topics to non-technical stakeholders.
Preferred
Experience supporting training institutes or bootcamps.
Linux administration and networking fundamentals.
Cloud cost monitoring and optimization experience.
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