AI-Native Ops Lead (PH-Based, Remote)

Sphere Technology; Manila; Remote; PHP 5,675,000 - 8,197,000; Full time

Job summary

SPHERE Technology seeks an AI Native Technical Operations Lead for PH-based remote work. You will own the operational backbone of an AI-native platform, from development environments to CI/CD pipelines and regulatory documentation, enabling engineering leadership to focus on product development.

With 3–7 years in full-stack engineering and strong QA, you will manage deployments, prototype AI-assisted workflows, and ensure robust auditing and compliance.

Qualifications

• You must be building software with AI coding tools daily (Claude Code, Cursor, Copilot or similar).
• 3–7 years of engineering experience across the full stack.
• Strong QA and testing discipline; meticulous
• Comfort working across multiple languages and frameworks
• DevOps experience (CI/CD, Docker, cloud infrastructure)

Responsibilities

• Prepare development environments, run test suites, and stage context ahead of engineering sessions.
• Review and test all code produced during engineering sessions – regression testing, edge case identification, and bug documentation.
• Manage CI/CD pipelines, staging and production deployments, and infrastructure monitoring.
• Handle lower-complexity coding tasks independently using AI-assisted workflows (30–40% of role).
• Build out tests, fix non-critical bugs, implement UI refinements, and create utility scripts.
• Research and prototype third-party API integrations (healthcare, payments, scheduling).
• Maintain technical documentation current with each sprint.
• Support regulatory compliance requirements with documentation and audit trails.

Skills

AI coding tools

Full stack development

QA/testing

DevOps

CI/CD

Docker

Cloud infrastructure

Self-directed work style

Tools

Claude Code

Cursor

Copilot

Job description

SPHERE Technology seeks an AI Native Technical Operations Lead for PH-based remote work. You will own the operational backbone of an AI-native platform, from development environments to CI/CD pipelines and regulatory documentation, enabling engineering leadership to focus on product development.

With 3–7 years in full-stack engineering and strong QA, you will manage deployments, prototype AI-assisted workflows, and ensure robust auditing and compliance.