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Platform Engineer

Makati City, Metro Manila, Philippines

Job Type:

Project-Based

Job Description

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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, IAM, 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.

  • Willing to accept a project engagement of 3 months, with the option to be renewed up to 6 months.

  • Comfortable working in a fully remote setup.

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