Infrastructure Lead / Senior Cloud Engineer

Key Responsibilities

• Design, implement, and manage scalable, secure, and highly available cloud infrastructure solutions on Google Cloud Platform.

• Lead GCP infrastructure deployments, cloud migration, automation, and operational improvement initiatives.

• Manage Google Kubernetes Engine (GKE), CI/CD pipelines, infrastructure as code (IaC), and cloud configuration management.

• Develop automation scripts using Python and Shell scripting to improve operational efficiency.

• Implement cloud security, monitoring, incident management, and troubleshooting practices.

• Lead technical teams and collaborate with application developers, project managers, and senior stakeholders.

• Manage service delivery, escalations, KPIs, technical documentation, and project status reporting.

• Drive DevOps best practices, continuous integration, continuous delivery, and infrastructure automation.

• Identify opportunities to improve cloud architecture, operational processes, performance, and cost efficiency.

• Support the adoption of emerging AI technologies and cloud-based AI solutions where applicable.

Mandatory Skills & Qualifications

• Experience: Minimum 10 years of overall IT experience, including substantial hands-on experience in enterprise-scale cloud infrastructure projects.

• GCP Expertise: Strong hands-on experience in Google Cloud Platform, including cloud architecture, deployment, operations, and security.

• Professional Certification: Must hold at least one Professional-level Google Cloud certification, such as:

  • Professional Cloud Architect

  • Professional Cloud DevOps Engineer

  • Professional Cloud Developer

  • Professional Machine Learning Engineer

• Kubernetes: Minimum 5 years of hands-on experience with Google Kubernetes Engine (GKE) and containerized environments.

• Infrastructure as Code: Strong experience with Terraform, Pulumi, Google Cloud Config Connector (KCC), Google Cloud Deployment Manager, or equivalent tools.

• CI/CD: Experience with Google Cloud Build and other CI/CD pipeline technologies.

• Scripting: Minimum 5 years of hands-on experience in Python and Shell scripting.

• DevOps & Automation: Strong knowledge of infrastructure automation, deployment strategies, configuration management, and operational best practices.

• Technical Leadership: Proven ability to lead technical teams, manage complex projects, resolve escalations, and engage senior stakeholders.

• Education: Degree in Information Technology, Computer Science, or a related discipline.

Preferred Skills

• Exposure to AI technologies, LLMs, AI solutioning, and agentic workflows.

• Knowledge of AWS or Microsoft Azure.

• Experience with large-scale enterprise projects, preferably within a systems integration environment.

• Familiarity with Agile/Scrum methodologies and software development and maintenance lifecycles.

• Additional certifications such as PMP or Scrum Master.

• Knowledge of Singapore government technology standards and guidelines.

• Experience with cloud monitoring, analytics, security, and cost optimization.