Senior QA Automation Engineer

Responsible for independently and cooperatively understanding business requirements.

Architecting, designing and implementing a reliable and scalable automation framework for a real-world machine learning platform.

Automating tests to assure functional requirements and performance KPIs are met.

Ensuring high product quality through rigorous functional and API level tests

Identify, record, document thoroughly and track bugs

Perform thorough regression testing when bugs are resolved

Providing technical and group leadership to fellow team members

Collaborate on the design and implementation of AI/ML-driven enhancements to QA workflows and automation strategies

Build and shape AI‑powered QA systems:
Work on AI‑augmented quality engineering where intelligent systems assist with test generation, prioritization, and analysis—while engineers provide judgment, validation, and quality leadership.

Move QA from execution to intelligence:
Be part of an organization evolving toward AI‑native quality engineering , where repetitive testing is increasingly automated and senior engineers focus on risk, system behavior, and release confidence.

Education & Core Experience

B.S. or M.S. in Computer Science, Software Engineering, or a related technical field.

5+ years in Software Testing and Quality Engineering, heavily focused on code-driven UI, API, and Mobile automation.

Full-stack testing expertise, seamlessly validating both frontend web applications and complex backend systems.

Strong programming chops in modern OOP or functional languages (e.g., Python, Type Script, Java, C#) to build robust automation from scratch.

Architectural mindset for designing scalable test frameworks (like Page Object Model) and developing reusable, custom programmatic components.

Deep data & API validation, automating complex checks across REST APIs and deep database integrations (SQL or No

SQL).

CI/CD & version control mastery, expertly navigating advanced Git workflows and integrating code-driven test suites directly into deployment pipelines.

Performance testing experience using programmatic frameworks to validate system latency and scalability under load.

Core Mobile & SDK Validation:
Proven experience testing mobile web applications and SDK integrations, utilizing industry-standard IDEs like Android Studio and Xcode for build deployment, log analysis, and platform-specific debugging.

AI & Future-Forward Tech

Early adopter mindset, eager to learn new skills and leverage AI-assisted workflows to accelerate engineering processes.

GenAI & ML validation expertise, with hands-on experience in LLM & RAG evaluation, hallucination detection, and model drift monitoring.

Agentic AI integration, experienced in utilizing MCP servers and AI agents to enhance QA workflows

Competitive

Salary Package:

Receive a pay package that matches your skills and experience.

Vacation and Sick Leave credits:
Enjoy vacation and sick leave credits to maintain work-life balance.

Health Coverage:
Get medical, dental, and vision insurance for you and your dependents.

Government-Mandated Benefits:
Full coverage of all statutory benefits like SSS, Phil Health, and Pag-IBIG.

Learning Opportunities:
Access training, certifications, and mentorship to grow your career.

Team Engagement:
Join team-building activities and wellness programs.

Modern Tools:
Use the latest technology to excel in your role.

Career Growth:
Clear paths for promotion and professional development.

Inclusive Culture:
Be part of a diverse, supportive, and collaborative global team.

Referral Rewards:
Earn bonuses for bringing great talent to the team.