KTek Resourcing — مكة - منطقة مكة المكرمة — دوام كامل
Role Summary
• We are hiring a Linux Systems Engineer (L2/L3) to support the VDI platform layer in a distributed environment spanning ~20 hypervisors.
• The customer Linux team maintains the hypervisors (monitoring and vulnerability management).
• The Service Provider focuses on the VDI layer, including user issue resolution, Linux OS troubleshooting, patching/hardening support, automation/config management, scientific runtime enablement (limited scope), and container/VDI operational support.
VDI core technologies include:
SLURM + AWS DCV
Docker + Kasm Workspaces
Key Responsibilities
A) Integrated Advanced Support (L2/L3) – Linux Systems (Core)
Resolve incidents and service requests from researchers, faculty, and students.
Perform OS troubleshooting including:
boot/kernel/service failures
package management and dependency failures
OS upgrades and migrations
Drive vulnerability management, OS patching, and OS hardening in alignment with security requirements.
Deliver performance tuning for CPU/memory/disk and GPU-related tuning as applicable.
Support and maintain configuration management, including:
ongoing support and updates to Ansible and Puppet playbooks
Administer and manage OS-level agents for visibility and compliance, including tooling such as:
Nessus, Automox, Puppet, and related systems/agents
Contribute to Root Cause Analysis (RCA) using diagnostics and log analysis.
Support incident prevention via automation and lifecycle improvements.
B) Scientific Environment (Limited Scope)
Configure environment modules (e.g., Lmod/Modules) and ensure correct runtime behavior.
Perform dependency resolution and enablement of application runtime environments.
Ensure users can load and run scientific toolchains reliably.
C) VDI Platform Layer Support
Troubleshoot session access and performance issues.
Support scheduling and workload management interactions at the VDI layer.
Perform container platform operations at the VDI layer.
Handle multi-component troubleshooting for cases like:
VDI + scheduler + containers (within scope)
Coordinate with relevant teams when issues cross into hypervisor-level responsibilities.
D) Engineering / Automation Functions
Provide automation-first operational practices using:
advanced scripting (bash, Python)
Ansible and Puppet (automation/config management)
Use IaC and CI/CD practices (including GitLab CI/CD) where applicable.
Maintain infrastructure lifecycle workflows using automation rather than manual steps.
Mandatory Requirements (Must-Have)
Linux administration expertise (mandatory):
Ubuntu LTS
Rocky Linux
NVIDIA GPU-enabled compute management experience (required).
Experience with scientific software (required; runtime/module enablement level).
Environment module management and dependency orchestration proficiency (required).
Experience with network-attached storage (NFS/SMB) configuration and support (required).
Ability to provide on-site / physical infrastructure support as per Section 3.2 (required).
Mandatory hands-on automation/IaC and configuration management experience including:
o Ansible
o Puppet
o Automox
o GitLab CI/CD
Demonstrated automation-first operations with bash/Python, systems integration, and infrastructure lifecycle management capabilities (required).
VDI context and troubleshooting exposure strongly preferred (aligned to SLURM + AWS DCV and Docker + Kasm Workspaces).
Technologies (In Scope)
VDI core: SLURM + AWS DCV, Docker + Kasm Workspaces
Linux: Ubuntu LTS, Rocky Linux, system/service troubleshooting, OS patching/hardening, performance tuning
Automation: Ansible, Puppet, IaC mindset, GitLab CI/CD, Automox
Scientific runtime (limited): modules + dependency orchestration
Storage: NFS/SMB
Agents/Compliance: Nessus, Automox, Puppet/related tooling
Candidate Profile
You are a strong Linux engineer who can:
troubleshoot confidently at L2/L3,
patch and harden responsibly,
improve reliability via automation,
enable scientific environments without doing deep application debugging,
support VDI layer user issues and containerized workflows.