Platform Engineer

4 days ago


Makati City, National Capital Region, Philippines MISNet Full time ₱1,200,000 - ₱2,400,000 per year

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

o Set up and manage the AWS New Score Environment, including S3 buckets, Glue

cataloging, and IAM permissions.

o Support secure access to the environment for Inquiro and partner teams for

modeling activities.

 SageMaker Studio Enablement

o Provision and configure SageMaker Studio for data scientists to build and run

machine learning models.

o Integrate monitoring and auditing tools such as CloudWatch and CloudTrail to

ensure observability and governance.

 Data Clean Room Configuration

o Set up AWS Data Clean Room (DCR) Publisher and Consumer accounts for

secure data collaboration between Globe and Inquiro.

o Manage DCR access policies, schema publishing, and collaboration setup.

 Security & Compliance Support

o Implement and manage encryption protocols for data at rest and in transit.

o Ensure all platform-level configurations comply with Globe's security and data

governance policies.

 Automation and Scaling Support

o Develop automation scripts to streamline future runs and enhance scalability.

o 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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