Deus X Pay07.02.26
AI SCORE 8.2

Mid-Level QA Engineer - Remote Position

$72K–$90K/year

About the Role

We are looking for a Mid-Level QA Engineer to join our remote-first team at Deus X Pay. In this role, you will ensure product quality across backend and frontend systems by combining structured testing practices with AI-assisted verification and intelligent testing workflows. As a Mid-Level QA Engineer remote, you will collaborate closely with engineering and product teams to validate functionality, reduce risk, and improve delivery speed without compromising quality.

What You'll Do

  • Analyze business requirements and contribute to test scripts and acceptance criteria.
  • Execute functional, regression, UI, and API testing across product features.
  • Validate and support acceptance of new functionality prior to release.
  • Develop and maintain scripted test cases with strong requirements and branch coverage.
  • Identify, document, and track software defects through to resolution.
  • Contribute to requirements clarification and documentation with stakeholders.
  • Participate in delivery planning, including estimation and prioritization of testing activities.
  • Actively participate in Agile ceremonies such as backlog grooming, sprint planning, reviews, and retrospectives.
  • Maintain test reporting and traceability using Jira and Xray.
  • Apply AI-assisted tools to support test verification, including automated validation of expected vs actual outcomes and intelligent test data generation.

Requirements

  • 3–5 years of experience in QA or software testing roles.
  • Experience with UI and API testing in modern applications.
  • Familiarity with TDD / BDD principles and tools.
  • Experience with automated testing (unit, integration, performance, or scale).
  • Exposure to CI/CD pipelines and automated test execution.
  • Experience or practical exposure to AI-assisted testing or verification tools.
  • Working knowledge of tools and technologies such as Jira, Xray, GitLab, and Jenkins.
  • Strong communicator, able to clearly articulate test outcomes to business stakeholders and defects to engineering teams.
  • Highly organized, with accurate and transparent reporting on test progress.
  • Curious, analytical, and detail-oriented.

Nice to Have

  • Experience with Cucumber / Gherkin and mocking tools.
  • Understanding of test-to-requirements coverage, defect lifecycle, and quality metrics.

What We Offer

  • Competitive salary and benefits.
  • Flexible remote work arrangements.
  • Opportunity to work with cutting-edge AI tools in QA.
  • Collaborative and high-trust work environment.
  • Professional development opportunities.
Why This Job8.2 of 10

This Mid-Level QA Engineer role offers a chance to work remotely in a dynamic environment, leveraging AI tools for testing. It's perfect for those looking to grow in their QA career.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in API Testing and UI Testing, utilizing tools such as Postman and Selenium, to ensure comprehensive testing coverage in both backend and frontend systems.

Self-motivated and disciplined remote worker who thrives in asynchronous communication environments, effectively using tools like Jira and GitLab to manage tasks and collaborate with cross-functional teams.

Experience with AI Testing Tools and automation frameworks, demonstrating a growth mindset to continuously learn and implement innovative testing strategies that enhance product quality.

Learning Resources

Software Testing Fundamentalsarticle

Career Path

Mid-Level QA Engineer(Now)Senior QA Engineer(1-2 years)QA Manager or QA Lead(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
10.5%
AI Adoption in QA
35%
Investment in QA Tools
+50%
Labour Demand for QA Engineers
+25%
Avg Salary for Mid-Level QA Engineer
$85K

Skills & Requirements

Required
QASoftware TestingAPI Testing
Growing in Demand
Test Automation (Selenium)Performance Testing (JMeter)API Testing (Postman)
Declining
Manual TestingLoadRunner

Domain Trends

Rise of AI in Testing
AI-driven testing tools are expected to improve testing efficiency by 40%, leading to increased adoption in QA processes.
Shift to Continuous Testing
Continuous testing is becoming a standard practice in DevOps, with 70% of organizations adopting this methodology to enhance software delivery.
Increased Demand for API Testing
As microservices architecture grows, API testing has seen a 50% increase in demand, making it a critical skill for QA professionals.

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