Trainer/ Senior Trainer

Position: Trainer/ Senior Trainer

Department: Faculty of Computing and Intelligent Systems

Role Summary:

The Trainer/Sr. Trainer is responsible for delivering high-quality instruction in foundational and intermediate areas of computing, networking, and programming. The role focuses on hands-on training, student mentoring, and curriculum delivery, ensuring learners acquire practical competencies aligned with industry standards.

Key Responsibilities:

• Deliver classroom and lab-based training in networking fundamentals, system troubleshooting, programming (e.g., Python, Java, C/C++), DBMS, and Full stack development.
• Design and implement practical exercises, assessments, and projects to reinforce theoretical concepts.
• Evaluate student performance through continuous assessments, examinations, and project reviews.
• Provide individual mentorship and academic support to students requiring additional guidance.
• Assist in the development and periodic revision of course materials, lab manuals, and training modules.
• Maintain lab infrastructure, including network setups, workstations, and setup new lab.
• Stay updated with emerging technologies and incorporate relevant trends into teaching practices.
• Participate in departmental meetings, workshops, and institutional development activities.

Required Qualifications & Skills:

• Bachelors degree in Computer Science, Computer Applications, Information Technology, or a related field (Master’s preferred).
• Minimum 3-5 years of academic or industry training experience in computing disciplines.
• Strong proficiency in:
• Networking concepts (OSI/TCP-IP models, routing, switching, VLANs, subnetting).
• System troubleshooting (hardware/software diagnostics, log analysis, performance tuning).
• Programming languages (at least two: Python, Java, C++, or C).
• DBMS and Full Stack Development will be given added weight.
• Excellent communication, presentation, and classroom management skills.

Desirable (Advantageous) Skills:

• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Exposure to full-stack development (HTML/CSS, JavaScript, React/Angular, Node.js, databases).
• Knowledge of DevOps tools (Docker, Kubernetes, Jenkins, CI/CD pipelines).
• DevOps implementation experience (containerization, orchestration, monitoring, automation).
• Cybersecurity specialization (network security, encryption, vulnerability assessment, ethical hacking, risk assessment, compliance frameworks, incident response).
• Certifications such as CCNA/CCNP, AWS Certified Solutions Architect, GCP Associate Cloud Engineer, Microsoft Azure Administrator, RHCE, CEH, or PMP will be given added weight.