Hybrid AI Ops Engineer – Cloud & Observability Specialist

Cambridge University Press & Assessment; Manila; Hybrid; PHP 1,161,000 - 1,585,000; Full time

Benefits offered by this job

Employment from day 1

HMO & Life Insurance

Paid annual leaves

Vesting/Retirement package

Career growth opportunities

Well-being programs

Flexible schedule

Hybrid work arrangement

Collaboration across branches

Job summary

Cambridge University Press & Assessment in Makati City is seeking an AI Ops Engineer to design, build and secure cloud infrastructure for AI workloads, with a focus on reliability and governance in a hybrid, two-days-per-week in-office setup.

The role demands strong AWS, Terraform, and Python skills, experience with generative AI, and a drive to advance observability, cost governance and scalable tooling across the organization.

Qualifications

• Deep expertise in AWS cloud services and infrastructure as code.
• Experience running generative AI or agentic solutions in production.
• Strong Python, Linux, and automation skills with maintainable code.

Responsibilities

• Design, build and secure cloud infrastructure for AI workloads across AWS.
• Maintain enterprise AI observability, including model performance and cost attribution.
• Operate governance checkpoints and automated deployment pipelines for AI services.
• Define production-readiness standards, SLOs/SLIs and incident response processes.
• Enforce security and cost governance while enabling scalable AI tooling.

Skills

AWS

Terraform

Generative AI

RAG

Vector databases

AI observability

Governance

Python

Linux

Automation

Job description

Cambridge University Press & Assessment in Makati City is seeking an AI Ops Engineer to design, build and secure cloud infrastructure for AI workloads, with a focus on reliability and governance in a hybrid, two-days-per-week in-office setup.

The role demands strong AWS, Terraform, and Python skills, experience with generative AI, and a drive to advance observability, cost governance and scalable tooling across the organization.