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Remote Senior Qa Software Tester Jobs in Georgia

AppFolio

Sr. Software Engineer - Accounting

GA · On-site +1

$117K - $155K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA ... Work closely with, and incorporate feedback from, other engineering team members, QA, product ...

Impiricus

Software Engineer (DevOps)

Atlanta, GA · Remote

$100K - $130K/yr

In addition, you will work closely with Engineering and QA teams to strengthen automated testing ... If not, remote is always an option. 401(k) : Save for your future with tax advantages (and company ...

Synaptein Solutions inc

Senior Java Developer

Atlanta, GA · Remote

$55 - $70.25/hr

... Quality Assurance and more. Get in touch with us today and take your business to new heights today. Role: Senior Java Developer Location: Remote (Atlanta, GA) Duration: 6+Month Contract Experience in ...

Stryker

Salesforce Software Engineer (Remote)

Atlanta, GA · On-site +1

$133K - $222K/yr

Remote As a Salesforce Software Engineer, you will play a key role in shaping how our U.S ... Coordinate QA and UAT testing activities to verify and validate new functionality before release.

New

YO AI Labs

AI Consulting Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Conduct quality assurance and rubric-based evaluations of AI-generated outputs. * Annotate data ...

American Cancer Society

Senior Auditor- Remote

Atlanta, GA · On-site +1

$85K - $90K/yr

The Senior Auditor plays a critical role in delivering high-quality assurance and advisory services ... Advanced skills in Microsoft Office Suite and audit-support software for efficient execution.

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All JobsQa Software Tester JobsRemote Senior Qa Software Tester JobsRemote Senior Qa Software Tester Jobs in Georgia

Remote Senior Qa Software Tester information

What is the difference between Remote Senior Qa Software Tester vs Remote QA Analyst?

AspectRemote Senior Qa Software TesterRemote QA Analyst
CredentialsTypically requires ISTQB or similar certifications, experience in testing methodologiesOften requires similar certifications, focus on testing and analysis skills
Work EnvironmentCollaborates with development teams, involved in test planning and executionAnalyzes quality metrics, reports issues, and supports testing processes
Industry UsageUsed across software development, tech, and IT companiesCommon in software, finance, healthcare sectors

The Remote Senior Qa Software Tester and Remote QA Analyst roles share many credentials and work environments, but testers focus more on executing tests and identifying bugs, while analysts analyze quality data and improve testing strategies.

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The most popular types of Senior Qa Software Tester jobs in Georgia are:

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For Remote Senior Qa Software Tester jobs in Georgia, the most frequently searched job titles are:

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Remote Senior Qa Software Tester jobs near you
Infographic showing various Remote Senior Qa Software Tester job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 9% Part Time, 8% Contract, and 3% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior Test Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

VetsEZ is currently looking for a Senior Test Engineer for a 100% remote position supporting a large federal government healthcare modernization project. In this role, you will support the development, validation, and automation of an AI-powered Patient Health Data Summarization capability within the Joint Longitudinal Viewer (JLV) Clinical Decision Support (CDS) platform. The ideal candidate will have strong healthcare interoperability experience, knowledge of C-CDA standards, experience testing complex healthcare applications, and hands-on experience with test automation and AI-enabled quality engineering.
The candidate must reside within the continental US.
Responsibilities
  • Develop comprehensive test plans, test cases, and acceptance criteria for AI-powered patient summarization capabilities.
  • Create traceability between business requirements, clinical data standards, and test scenarios.
  • Design test coverage across clinical document types, including Continuity of Care Documents (CCD), Discharge Summaries, Progress Notes, and History & Physical documents.
  • Develop positive, negative, boundary, and edge-case testing scenarios for AI-enabled clinical applications.
  • Analyze and validate C-CDA XML documents, including headers, sections, templates, and clinical entries.
  • Verify accurate extraction and summarization of clinical information, including medications, allergies, laboratory results, procedures, care plans, and diagnoses.
  • Ensure AI-generated summaries accurately reflect source clinical documentation and maintain traceability to original clinical sources.
  • Perform functional, integration, system, regression, performance, and user acceptance testing.
  • Develop and maintain automated test suites for document ingestion, AI summarization, APIs, and user interfaces.
  • Test CDS workflows and patient-context-driven launch scenarios across multiple data sources and patient encounters.
  • Support CI/CD pipelines through automated quality gates and continuous testing.
  • Build automated validation frameworks for AI-generated summaries.
  • Evaluate AI-generated content for clinical completeness, consistency, usability, accuracy, and reliability.
  • Identify omissions, inaccuracies, hallucinations, and other AI-generated defects that could impact clinical workflows.
  • Validate AI guardrails, monitoring capabilities, auditability, and quality controls.
  • Participate in defect triage, root-cause analysis, and release-readiness activities.
  • Create test documentation, defect reports, traceability matrices, and quality assessments.
  • Collaborate with software engineers, solution architects, clinicians, product owners, cybersecurity teams, and government stakeholders.
  • Leverage AI-assisted tools to accelerate test development, test automation, regression testing, defect analysis, and quality assurance activities.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements
  • Bachelor's degree in Computer Science, Information Technology, Health Informatics, Engineering, or a related technical discipline, or equivalent experience.
  • Minimum of 5 years of experience testing healthcare software applications.
  • Strong knowledge of Consolidated Clinical Document Architecture (C-CDA) standards, including clinical document structure, sections, templates, and entries.
  • Hands-on experience reading, validating, and troubleshooting XML-based healthcare data.
  • Experience with healthcare interoperability standards and clinical data exchange.
  • Experience testing Clinical Decision Support (CDS) applications and workflows.
  • Familiarity with SMART on FHIR, CDS Hooks, REST APIs, and related interoperability technologies.
  • Experience with test automation frameworks, API testing tools, and defect management platforms.
  • Experience developing and maintaining automated testing solutions within Agile and DevSecOps environments.
  • Experience with AI-assisted testing tools and techniques for test case generation, automation development, regression testing, defect analysis, and quality assurance.
  • Familiarity with Generative AI and Large Language Models (LLMs), including using AI to create and maintain automated test scripts, validation frameworks, and test data.
  • Experience validating AI-generated outputs and establishing quality controls for accuracy, consistency, repeatability, and reliability.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written and verbal communication skills.

Additional Qualifications
  • Experience supporting Department of Veterans Affairs (VA) healthcare systems, including JLV or similar clinical viewer applications.
  • Knowledge of USCDI and healthcare interoperability requirements.
  • Familiarity with healthcare terminologies such as SNOMED CT, LOINC, RxNorm, and ICD.
  • Experience validating AI/ML-enabled healthcare solutions.
  • Experience with AI-powered testing platforms such as GitHub Copilot, Microsoft Copilot, Testim, Functionize, Mabl, or similar tools.
  • Experience creating autonomous or semi-autonomous AI testing workflows, including test-case generation, coverage analysis, synthetic test data, and automated defect triage.
  • Understanding of prompt engineering and AI evaluation methodologies for software quality assurance.
  • Knowledge of accessibility and usability testing within healthcare environments.
  • Experience working within Agile, DevSecOps, and cloud-native development environments.
  • Exposure to healthcare data analytics and modernization initiatives within federal healthcare agencies.

Security Clearance Requirements
U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
Benefits
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.

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