jobs in Land Transport Authority (LTA) Singapore

全职 [LTA-ITCD] PRP-SNR-EXEC CYBERSECURITY ENGINEER, AI - CLOUD SYSTEMS 工作, 薪水, Land Transport Authority (LTA) Singapore 公司招聘中 - Ricebowl

[LTA-ITCD] PRP-SNR-EXEC CYBERSECURITY ENGINEER, AI - CLOUD SYSTEMS

Land Transport Authority (LTA) Singapore

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

[What the role is]

[LTA-ITCD] PRP/SNR/EXEC CYBERSECURITY ENGINEER, AI & CLOUD SYSTEMS

[What you will be working on]

Responsibilities

As a Cybersecurity Engineer for AI and Cloud Systems, you will be instrumental in ensuring the security and integrity of cloud, on-premises, hybrid, and AI-enabled systems throughout their project lifecycle. Your key responsibilities will include:

  • AI Implementation & Maintenance: Support the secure design and implementation of AI products and associated cloud infrastructure, including network segmentation, identity and access management (IAM), secrets management, and security monitoring integration. Ensure that infrastructure-as-code (IaC) practices and CI/CD pipelines incorporate security controls, and that cloud environments are hardened in line with relevant benchmarks.
  • AI Cybersecurity Project Consultancy: Provide expert advisory services for cloud platforms (AWS, Azure, GCP), on-premises, hybrid, and AI-enabled systems, supporting threat modelling, security architecture reviews, and risk assessments in alignment with government requirements and industry best practices.
  • AI Security Research: Track emerging AI security risks and threat frameworks, translating findings into practical recommendations.

[What we are looking for]

  • Knowledge in AI/ML, Computer Science, Information Security, or a related field.
  • At least 3 years of experience in cybersecurity, security architecture, and/or technical risk management.
  • A strong understanding of cybersecurity principles across cloud, on-premises, and hybrid environments, along with familiarity with threat modelling and risk assessment methodologies.
  • Good understanding of AI/ML security challenges and best practices.
  • Excellent analytical, problem-solving, and communication skills.
  • A commitment to fostering an inclusive and diverse work environment, promoting equitable access to cybersecurity practices for all stakeholders.

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