QA Engineer

Jobtailor

Manila

On-site

PHP 800,000 - 1,100,000

Full time

11 days ago

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Job summary

Jobtailor seeks a QA/test engineer to own API test automation and AI-driven testing within enterprise tech programs. You will design API tests with Pytest, drive AI-assisted test generation, and manage synthetic/masked data to ensure quality.

You will also implement self-healing patterns and lead non-functional testing across performance, resilience, and security hooks. In this role, you will triage defects, work with the BA on acceptance criteria, and coordinate with engineers on test hooks.

Qualifications

  • 3+ years of hands-on QA/test engineering experience on enterprise technology programs.
  • Strong API test automation experience against microservices; Go or equivalent.
  • Hands-on use of AI-native test tooling for test-case generation and data.
  • Test data management including synthetic/masked data and PII handling.
  • Strong defect triage and root-cause analysis skills.

Responsibilities

  • Own iteration test strategy and test plans aligned to strategy.
  • Design and build API-level automated tests using pytest framework.
  • Drive AI-led test case generation and synthetic data generation.
  • Implement self-healing automation patterns to reduce flakiness.
  • Own non-functional test coverage including performance, resilience, and security hooks.
  • Triage, reproduce, and own defects through resolution in iterations.
  • Enforce KPI gating for Sev 1/Sev 2 and coordinate with platform teams.
  • Feed KPI reporting with defect density, escape rate, and automation coverage.

Skills

API Test Automation
Pytest Framework
AI-Native Test Tooling
Defect Triage
Test Data Management

Tools

Puppeteer
Playwright
K6
JMeter
OWASP ZAP

Job description

  • Own the iteration test strategy and test plan aligned to the LFS PayTech Test Strategy
  • Design and build API-level automated tests using the pytest framework, including contract, integration, and end-to-end tests
  • Drive AI-led test case generation, synthetic/masked test data generation, and risk-based test selection using approved test-automation AI tooling
  • Implement self-healing automation patterns where they materially reduce flakiness and maintenance effort
  • Own non-functional test coverage for each service, including performance smoke, resilience, and security test hooks, coordinated with LFS platform teams
  • Triage, reproduce, and own defects through resolution during iteration delivery and 2-week JSIT windows
  • Enforce the no-open-Sev-1/Sev-2 KPI gate
  • Partner with the BA on acceptance criteria and with engineers on test hooks designed in rather than bolted on
  • Feed iteration KPI reporting with test-quality signals such as defect density, escape rate, and automation coverage
  • Contribute to showcase demonstrations with clear, test-evidenced quality narratives
Requirements
  • 3+ years of hands-on QA / test engineering experience on enterprise technology programs
  • Strong API test automation experience against Go or comparable microservices
  • Hands-on experience with Pytest, Puppeteer, or Playwright; able to write automation, not only configure it
  • Demonstrable hands-on use of AI-native test tooling for AI-led test case generation and synthetic test data
  • Test data management discipline, including synthetic/masked data, PII handling, and compliance with LFS data classifications
  • Strong defect triage and root-cause analysis skills
  • Comfortable operating under KPI gating for Sev 1/Sev 2
  • Strong written and spoken English
  • Able to work from the Outsourcey Manila facility on provisioned devices under LFS security standards
  • Desirable: card issuing, payments, or core banking domain experience
  • Desirable: experience authoring test strategy artefacts for fixed-price, iteration-based delivery
  • Desirable: exposure to k6, JMeter, chaos testing, OWASP ZAP, SAST/DAST gates
  • Desirable: contributions to internal QA playbooks or AI-assisted testing standards
  • Desirable: Buildkite or equivalent pipeline integration and test reporting into Datadog
Core Competencies

Demonstrates expertise in API Test Automation using Pytest and AI-led test tooling, with a strong focus on non-functional testing, defect triage, and compliance with data management standards. Proven ability to drive test strategy and quality metrics in enterprise technology environments.

Highest-signal resume keywords
  • API Test Automation
  • Pytest Framework
  • AI-Native Test Tooling
  • Defect Triage
  • Test Data Management
ATS Optimization Keywords
Hard Skills
  • Test Engineering
  • Automation Scripting
  • Root-Cause Analysis
  • Performance Testing
  • Security Testing
Soft Skills
  • Strong Written Communication
  • Strong Verbal Communication
Industry Keywords
  • Payments
  • Card Issuing
  • Core Banking
  • Data Classifications
  • KPI Gating
Tools & Technologies
  • Puppeteer
  • Playwright
  • K6
  • JMeter
  • OWASP ZAP
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