Quality Assurance Automation Engineer

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Hi,

Please check the jd below, It's a offshore requirenment and it's a remote role.

You have to work according USA Time Zone( EST).



QA Automation & Infrastructure Engineer

Need to work EST hours


Purpose

Act as a hands-on QA automation engineer and platform builder for Amelia Delivery. This role combines deep test automation expertise with infrastructure engineering to support scalable, self-service QA across the entire delivery lifecycle—including pre-delivery, UAT, and post-deployment validation.

Key Responsibilities

● Build and maintain reusable automation frameworks and test infrastructure components (execution, orchestration, reporting).

● Design and implement automated test suites (functional, regression, integration, UAT) for Amelia Delivery.

● Develop self-service tools/interfaces enabling delivery teams to independently run and monitor tests.

● Optimize environment provisioning, test data injection, and pipeline observability to accelerate release cycles.

● Integrate testing into CI/CD workflows using tools like GitLab, Jenkins, Bamboo, and GitHub.

● Collaborate with QA leads and engineers to evolve test platforms that support delivery-focused automation needs.

● Contribute to testing-as-a-service initiatives across pre-release and post-deployment environments.

Ideal Background

● Bachelor’s degree in Computer Science, Engineering, or equivalent technical experience.

● 8+ years in software development or QA automation, ideally blending both.

● Strong coding skills in Python, Java, JavaScript, and SQL.

● Proven experience in designing and maintaining scalable automation frameworks and test infrastructure.

● Hands-on with tools like Playwright, Selenium, Cypress, Appium, and Postman.

● Skilled in CI/CD tools (GitLab, Jenkins, Bamboo, GitHub Actions) and cloud-based deployments.

● Proficient in Docker, Kubernetes, and modern DevOps practices.

● Strong understanding of SDLC, Agile methodologies, microservices, and agentic AI agent-based systems.

● Ability to write clean, scalable, and maintainable automation code that supports long-term delivery velocity.

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