Powering the Future with AIDA
To lead the next phase of our AI evolution, we’ve launched a new business unit AIDA – Artificial Intelligence & Data Analytics – a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose. This marks a pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business.
At Singtel, this is more than a technology upgrade. It’s a strategic transformation that redefines how value is created across the enterprise core— augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy, and foster a culture where intelligence empowers people.
We welcome you to join us on a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core. Grow with us in a workplace that champions innovation, embraces agility, and puts human potential at the heart of everything we do.
Be a Part of Something BIG!
- Automate AIDA’s code deployment process through implementing CI/CD pipeline
- Integrate GenAI tools and practices into AIDA’s development workflow
- Support security and compliance process as part of development workflow and regular audit
- Collaborate with platform engineering, cybersecurity and IT teams to ensure secure and scalable delivery processes
Make an Impact by:
- Design, build, and maintain CI/CD pipelines using selected tooling
- Implement security-by-design principles across build, test, release, and deployment stages
- Introduce automation for secrets management, vulnerability scanning, policy enforcement, and compliance validation
- Implement security baselines and controls for code repositories, infrastructure, and deployment pipelines
- Implement and monitor secure artifact and container registries
- Explore and implement use cases for GenAI in secure software development (e.g., AI-assisted code review, automated documentation, security linting)
- Implement guardrails and risk mitigation strategies for GenAI-enabled development processes
- Provide DevSecOps best practices and guidance to platform and engineering teams
- Contribute to operational readiness, observability, and incident response playbooks related to platform deployments
Skills for Success:
- Bachelor’s degree in Computer Science, Information Security, or a related field
- 1-3 years of experience in DevOps, cloud engineering or cybersecurity with at least 1 year focused on DevSecOps
- Experience with implementing and operating Atlassian, GitLab and/or Azure DevOps platforms
- Understanding of cloud security practices, networking, and access control in hybrid environments
- Knowledge of integrating GenAI tools into developer workflows (e.g., GitHub Copilot
- Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders
- Self-driven and proactive, comfortable working in a fast-paced environment