Platform Engineer

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Makati City, Metro Manila, Philippines

Job Type:

Project-Based

Job Description

PLATFORM ENGINEER (PROJECT-BASED, REMOTE)

The Platform Engineer will be responsible for building and maintaining the infrastructure and system-level components that support secure model development, scoring, and data sharing. This role ensures the environment is scalable, secure, and optimized for collaboration between internal teams and partners.

Key Tools:

SageMaker, AWS CLI, IAM, S3, Glue, CloudTrail, CloudWatch, AWS

Key Responsibilities:

• Environment Setup & Configuration

  • Set up and manage the AWS New Score Environment, including S3 buckets, Glue cataloging, and IAM permissions.
  • Support secure access to the environment for Inquiro and partner teams for modeling activities.

• SageMaker Studio Enablement

  • Provision and configure SageMaker Studio for data scientists to build and run machine learning models.
  • Integrate monitoring and auditing tools such as CloudWatch and CloudTrail to ensure observability and governance.

• Data Clean Room Configuration

  • Set up AWS Data Clean Room (DCR) Publisher and Consumer accounts for secure data collaboration between Globe and Inquiro.
  • Manage DCR access policies, schema publishing, and collaboration setup.

• Security & Compliance Support

  • Implement and manage encryption protocols for data at rest and in transit.
  • Ensure all platform-level configurations comply with Globe’s security and data governance policies.

• Automation and Scaling Support

  • Develop automation scripts to streamline future runs and enhance scalability.
  • Monitor system performance and troubleshoot issues related to processing or access.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 3 years of solid experience in AWS services including SageMaker, IAM, S3, Glue, CloudWatch, and CloudTrail.
• Strong understanding of data security, encryption, and compliance standards.
• Proficiency in automation scripting (e.g., Python, Shell, or similar).
• Experience supporting machine learning environments is an advantage.
• Strong problem-solving skills and the ability to work effectively with cross functional teams.

Employment Details

• Engagement Type: Project-based for 7 months from June 1, 2026 to December 31, 2026
• Work Arrangement: Hybrid (3 days on-site, 2 days work from home)
• Work Schedule: Monday to Friday
• Location: Client site, BGC, Taguig

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