Platform Engineer - AI Infrastructure

CBSI SD

Muntinlupa City Metro Manila

Employment Type

Full-time

Department

Information Technology

Responsibilities

Design, implement, and manage AWS cloud infrastructure supporting Shadowlab AI applications and services.

• Ensure scalability, reliability, and security of the AI platform architecture.

• Configure and manage compute, storage, networking, and access management components within AWS.

• Implement infrastructure provisioning using Infrastructure-as-Code (IaC).

Design and maintain CI/CD pipelines for AI applications and internal tools.

• Automate build, testing, and deployment processes across development, staging, and production environments.

• Integrate version control repositories with deployment pipelines.

• Implement deployment standards and release management processes for the AI platform.

Monitor system performance, availability, and security across the AI platform.

• Implement logging, monitoring, and alerting mechanisms for infrastructure and services.

• Troubleshoot and resolve issues related to infrastructure, deployments, and system integrations.

• Ensure compliance with IT security and governance standards.

Assist development teams in deploying and scaling AI applications and backend services.

• Contribute to development of platform utilities, automation scripts, and system integrations.

• Participate in system architecture design, technical reviews, and performance optimization.

Document platform architecture, infrastructure configurations, and deployment standards.

• Recommend improvements to development workflows, platform reliability, and system performance.

• Promote DevOps best practices across the Application Development and Shadowlab teams.

Requirements

  • Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related field.
  • At least 3–5 years of experience in cloud infrastructure, DevOps engineering, or platform engineering roles.
  • Hands-on experience with AWS cloud services and architecture design.
  • Experience implementing and maintaining CI/CD pipelines and automated deployment processes.
  • Experience working with version control systems (Git-based workflows).
  • Experience supporting application deployment, APIs, or backend systems.

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