Are you ready to get ahead in your career?
Why does this job exist and why is it critical?
Join Maxis as a Cybersecurity Intern and gain hands-on experience in developing AI-driven solutions to strengthen cloud security. You will work alongside our cybersecurity team to analyze cloud misconfigurations, leverage Large Language Models (LLMs) for security analysis, and support the automation of cloud remediation processes. This internship offers valuable exposure to cloud security, AI applications in cybersecurity, and enterprise-scale automation projects.
Key Responsibilities
Analyze cloud misconfiguration data within Google Cloud Platform (GCP) to identify security risks and improvement opportunities.
Utilize AWS Bedrock and LLM APIs to analyze cloud misconfiguration data and generate remediation recommendations.
Validate AI-generated outputs using an additional LLM API to ensure accuracy and reliability.
Develop dashboards and/or databases to facilitate user review and approval of remediation recommendations.
Verify AI-generated scripts and support the automation of cloud misconfiguration and IAM role remediation processes.
Contribute to PrivilegesPulse, an AI-powered initiative focused on automatically detecting and remediating cloud misconfigurations and Identity & Access Management (IAM) role and permission issues. This project provides the opportunity to gain practical experience in applying AI to enterprise cybersecurity challenges while improving cloud security operations.
Preferred Skills/Qualifications
Currently pursuing a Diploma or Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Software Engineering, or a related field.
Knowledge of cloud security concepts, including cloud misconfigurations, Google Cloud Platform (GCP), and Google BigQuery.
Familiarity with AWS Bedrock and Large Language Models (LLMs), including secure API integration and usage.
Experience with Kiro or similar AI-assisted coding tools for rapid development and automation.
Strong analytical, problem-solving, and scripting skills, with an interest in cybersecurity automation and AI-driven solutions.
Why join us?
Gain practical experience applying AI and Large Language Models to real-world cybersecurity challenges.
Build hands-on skills in cloud security, automation, and enterprise cybersecurity technologies.
Contribute to innovative projects that enhance cloud security posture and operational efficiency.
Work in a collaborative environment that supports learning, innovation, and professional growth.
Internship Period
This internship is available for candidates who can start immediately, with a duration of up to 6 months. Applicants are required to clearly state their availability period in their CV.
What’s next?
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.

Established in 1961, Malayan Flour Mills Berhad (MFM) is the pioneer in the flour milling industry in Malaysia. MFM has grown to become the leading flour miller in Malaysia with regional presence in Vietnam and Indonesia. Over the years, we have expanded into poultry integration, aquaculture, and raw material trading. In FY21, the group revenue was RM2.43 billion.
MFM is one of the major poultry integrators in poultry feeds, breeding, farming with a state-of-the-art processing facility across the poultry value chain. Designed to meet the domestic and international markets, the advanced facility will process up to 300,000 birds per day.
With our asset of 3,000 people, we have transformed and grown in Malaysia and regionally. Synergising with our workforce, we embrace Artificial Intelligence, Big Data, Internet of Things (IoT) in our day-to-day business. Through our partnership with Tyson Food, Inc. and Toyota Tsusho Group, we aspire to be a leading global halal food enterprise while achieving sustainable development goals.
Building the workforce of the future…Today. We invite you to be part of our team!
Visit https://www.mfm.com.my/careers/ or apply via the Jobs tab in Linkedin.