AI-Driven QA Automation Engineer – SaaS Platform

CodeRound; Hinoba-an; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

CodeRound is seeking a dedicated Automation Engineer to own end-to-end test automation across UI, API, and ML-driven workflows. You will design and maintain frameworks, ensure zero regression, and enable fast release cycles for a complex AI-powered supply-chain SaaS platform.

You will collaborate with product, backend, frontend, and ML teams, implementing tests in CI/CD pipelines and validating deployments in Kubernetes environments. Remote options may apply depending on project needs.

Qualifications

• Experience building automation across UI, API, and data pipelines.
• Ability to design robust test frameworks from scratch.
• Experience with AI-powered QA tools is a plus.
• Familiarity with containerized deployments and cloud environments.

Responsibilities

• Design, build, and maintain automation suites across UI, API, backend services, and LLM workflows.
• Create robust frameworks from scratch using any modern automation stack.
• Automate test coverage across microservices, workflows, and high-throughput pipelines.
• Define and implement full-stack test strategy covering functional, regression, sanity, smoke, performance, and integration testing.
• Write automation for highly dynamic datasets, multi-agent flows, async pipelines, and K8s-based deployments.
• Leverage AI-based QA tools to accelerate test creation and coverage.
• Set up validation pipelines for agentic flows using both rules + AI models.
• Integrate automation into CI/CD (GitHub Actions / Argo / Jenkins).
• Work closely with DevOps to run tests inside EKS, staging, and preview environments.
• Debug issues across distributed systems, logs, and Docker-based environments.
• Work closely with product, backend, frontend, and ML teams and be the “automation guardrail” for all releases.

Skills

Test automation

CI/CD

Debugging

Tools

Selenium

Playwright

Cypress

Appium

PyTest

JUnit

Job description

CodeRound is seeking a dedicated Automation Engineer to own end-to-end test automation across UI, API, and ML-driven workflows. You will design and maintain frameworks, ensure zero regression, and enable fast release cycles for a complex AI-powered supply-chain SaaS platform.

You will collaborate with product, backend, frontend, and ML teams, implementing tests in CI/CD pipelines and validating deployments in Kubernetes environments. Remote options may apply depending on project needs.