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Remote Regression Testing Jobs in Georgia (NOW HIRING)

Harris

$55K - $65K/yr

... regression, and developer work item testing. * Document, investigate, reproduce, track, and ... Ability to manage priorities, meet deadlines, and work independently in a remote team environment.

United Airlines

Test Automation Engineer

Atlanta, GA · Remote

$68K - $161K/yr

Location This is a remote role with preference to Mountain time hours. Role summary We are seeking ... regression, and integration testing. * Create reusable automation modules, libraries, and data ...

Dlapiper

Data Scientist

Atlanta, GA · On-site +1

Develops testing frameworks and tests model quality. * Coordinates with different functional teams ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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Remote Regression Testing information

What is remote regression testing?

Remote regression testing is a software testing process where testers validate that new changes or updates to an application have not adversely affected existing functionality, all while working from a remote location. This approach uses online collaboration tools, test automation frameworks, and cloud-based environments to execute and manage test cases. Remote regression testing is essential for distributed teams and organizations with flexible work arrangements, ensuring continuous software quality without the need for on-site presence. It supports efficient detection of bugs introduced by recent code changes, allowing teams to maintain high-quality standards in rapidly evolving software projects.

What are the key skills and qualifications needed to thrive as a remote regression testing professional?

To excel in Remote Regression Testing, you need a solid understanding of software testing principles, test case design, and experience with regression testing methodologies, often supported by a degree in computer science or a related field. Familiarity with automated testing tools such as Selenium, JUnit, or TestNG, as well as version control systems like Git, is typically required, and certifications like ISTQB can be advantageous. Strong analytical thinking, attention to detail, and clear communication skills are essential soft skills for collaborating remotely and identifying issues efficiently. These competencies ensure that software updates do not introduce new defects, maintaining product quality and reliability in distributed work environments.

What are some typical challenges faced by remote regression testers, and how can they be overcome?

Remote regression testers often encounter challenges such as communication barriers with development teams, time zone differences, and ensuring that test environments closely mirror production systems. To overcome these, it's important to establish clear communication channels—such as regular video meetings and detailed documentation—coordinate schedules for overlap with key team members, and use cloud-based testing tools that facilitate consistent and reproducible test environments. Proactively addressing these challenges helps ensure effective collaboration and high-quality testing outcomes.

What is the difference between Remote Regression Testing vs Remote Test Automation Engineer?

AspectRemote Regression TestingRemote Test Automation Engineer
Primary FocusVerifying that recent code changes do not break existing functionalityDesigning, developing, and maintaining automated test scripts
Required SkillsManual testing, understanding of software features, basic scriptingProgramming, automation tools, scripting languages
Work EnvironmentTesting environments, collaboration with QA teamsDevelopment environments, automation frameworks
CertificationsISTQB, QA certificationsISTQB, automation testing certifications

Remote Regression Testing focuses on manual or semi-automated testing to ensure recent changes haven't introduced new issues, while Remote Test Automation Engineers develop and maintain automated testing frameworks to streamline testing processes. Both roles require testing knowledge but differ in technical depth and automation skills.

What are the most commonly searched types of Regression Testing jobs in Georgia?

The most popular types of Regression Testing jobs in Georgia are:

What are popular job titles related to Remote Regression Testing jobs in Georgia?

For Remote Regression Testing jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Regression Testing jobs in Georgia look for?

The top searched job categories for Remote Regression Testing jobs in Georgia are:

What cities in Georgia are hiring for Remote Regression Testing jobs?

Cities in Georgia with the most Remote Regression Testing job openings:

Remote Regression Testing jobs near you

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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