IT Network Delivery Intern

Are you ready to get ahead in your career?

• We want to empower you to turn your ambitions into achievements.
• We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
• Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
• To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Why does this job exist and why is it critical?​

Role Overview: 

Join Maxis as a Network Delivery Automation Intern and gain hands-on experience in driving digital transformation initiatives within our Network Delivery team. This internship offers a valuable opportunity to work on process automation projects using RPA and Python, helping improve operational efficiency and system workflows. You will support the development, monitoring, and troubleshooting of automation solutions while gaining practical exposure to network operations and enterprise systems in a fast-paced technology environment.

Key Responsibilities:

• Automation Development: Assist in preparing scripts and coding solutions using RPA, Python, or related technologies to automate Change Automation (CA) processes for Network Delivery.

• System Enhancement: Support the development and maintenance of CA automation workflows within CMS and NCR systems to improve operational efficiency.

• Tracker Management: Perform daily updates of CA automation progress, statuses, and activities in the CA tracker to ensure accurate reporting.

• Performance Monitoring: Monitor automation processes to ensure tasks are executed successfully, identifying issues or delays proactively.

• Troubleshooting Support: Investigate and resolve errors or technical issues related to CA automation processes, escalating where necessary.

• Value-Added Project Exposure: Contribute to the development of QS automation initiatives for Network Delivery, supporting innovation and continuous improvement efforts.

Preferred Skills/Qualifications:

• Currently pursuing or recently completed a Diploma or Degree in Information Technology, Computer Science, Software Engineering, or a related field.

• Basic knowledge of Python, RPA tools, scripting, or automation technologies.

• Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues effectively.

• Good understanding of system workflows, databases, or process improvement concepts is an advantage.

• Strong attention to detail and ability to maintain accurate trackers, documentation, and reports.

• Good communication and teamwork skills, with the ability to collaborate across technical and operational teams.

• Proactive, eager to learn, and adaptable in a dynamic work environment.

Why join us?

• Gain hands-on experience in automation, scripting, and digital transformation projects within a leading telecommunications company.

• Develop practical technical skills in Python, RPA, system integration, and operational process improvement.

• Work alongside experienced professionals in network operations and enterprise technology teams.

• Contribute to impactful projects that enhance efficiency and innovation in Network Delivery.

• Build valuable industry exposure and strengthen your future career in IT and automation.

Application Process:

Submit your resume and cover letter through our career portal. We look forward to welcoming dedicated and detail-oriented individuals to our team!

What’s next?

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
• Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.

Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.