Remote Senior QA Engineer – AI‑Driven Testing & Growth

Emergent Software

United States

On-site

USD 90,000 - 130,000

Full time

8 days ago

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Benefits offered by this job

Medical Insurance
Dental & Vision Insurance
401(k) matching
FSA
Disability insurance
Life insurance
Paid parental leave

Job summary

Emergent Software is seeking a Senior Software QA Engineer to own quality on data-driven web applications. This remote role collaborates with developers, product owners, and clients throughout the agile lifecycle, with a focus on test strategy, automation, and risk-based testing.

The ideal candidate excels in communication, planning, and hands-on testing, and embraces AI-assisted testing techniques to improve efficiency, while maintaining strong quality status across projects.

Qualifications

  • Experience on an agile team as a Quality Engineer, owning test strategy and execution across the project lifecycle.
  • Ability to decide where automation adds value vs manual testing.
  • Strong understanding of web apps, APIs, databases, and cloud basics.

Responsibilities

  • Build test coverage that matches project risk and communicate decisions to the team and client.
  • Plan test cases for user stories and features with the agile team.
  • Coordinate regression testing and client testing, using automation where it adds value.
  • Perform hands-on testing against acceptance criteria throughout each project.
  • Coordinate UAT directly with clients and explain quality status to non-technical stakeholders.

Skills

Agile
Quality Assurance
Test Planning
CI/CD
Communication
UAT coordination
Automation strategy

Tools

Playwright
Azure DevOps
Jira

Job description

Emergent Software is seeking a Senior Software QA Engineer to own quality on data-driven web applications. This remote role collaborates with developers, product owners, and clients throughout the agile lifecycle, with a focus on test strategy, automation, and risk-based testing.

The ideal candidate excels in communication, planning, and hands-on testing, and embraces AI-assisted testing techniques to improve efficiency, while maintaining strong quality status across projects.

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