QA Automation Engineer II — API & Data Integration (Hybrid)

Axiom Path

Charlotte (NC)

Hybrid

USD 55,000 - 96,000

Part time

13 days ago

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Hybrid work environment (4 days onsite

Fridays remote

Exposure to enterprise modernization

Job summary

BlackCube Labs is seeking a hands-on QA Automation professional to support an enterprise modernization initiative. You will design, develop, and maintain automated and manual test cases for complex integrations, APIs, data transformations, and UI workflows.

You will work in a collaborative Agile environment with partners across engineering and product teams. You will validate REST APIs, JSON/XML/EDI data, and ETL processes, while contributing to low-code testing, CI/CD pipelines, and evolving QA

Qualifications

3–5 years of hands-on software Quality Assurance experience in a technical environment.
Strong API testing and automation experience, 3+ years.
3+ years of source-to-target data integration or ETL testing experience.
Experience testing REST APIs and working with JSON, XML, EDI, or comparable data formats.
Experience developing, maintaining, and troubleshooting automated testing frameworks.
3–5 years of UI automation with Selenium, Appium, UFT, or comparable solutions.
Experience using API testing tools such as Postman, ReadyAPI, SoapUI.
Familiarity with codeless test automation platforms and ability to learn existing frameworks.
1–2 years of experience with low-code development platforms such as Power Platform, Salesforce, UiPath.
Experience with test management and defect-tracking tools such as Azure DevOps, Quality Center, or Octane.
Understanding of Agile development methodologies, regression testing, and defect management.
Experience maintaining automated test execution within CI/CD pipelines.
Strong analytical, problem-solving, communication, and collaboration skills.
Proactive, self-motivated approach with the ability to learn unfamiliar technologies.
High school diploma or GED with 5+ years of relevant professional experience.
Preferred: Bachelor's in CS/IT; experience with EDI-to-JSON integrations; vendor migrations; codeless automation platforms; AI-assisted tools; performance testing tools.

Responsibilities

Design, develop, execute, and maintain manual and automated test cases for enterprise software applications and integrations.
Perform comprehensive API testing to validate application functionality, service integrations, data accuracy, and end-to-end workflows.
Validate source-to-target data transformations, including EDI-to-JSON mappings, ensuring accuracy and consistency across integrated systems.
Maintain, troubleshoot, and enhance existing test automation frameworks, including codeless API testing solutions and customized automation scripts.
Review technical specifications, data mapping documents, and business requirements to develop effective test scenarios and validation strategies.
Identify, document, investigate, and track application defects, collaborating with developers and business teams to resolve issues.
Create and manage test cases, regression test plans, and defect records using Azure DevOps or comparable test management platforms.
Support UI automation, ETL testing, and system integration testing across multiple enterprise applications.
Contribute to low-code development and codeless automation initiatives using established tools and frameworks.
Integrate automated testing into CI/CD workflows to support continuous testing and reliable software releases.
Participate in Agile ceremonies, including user story refinement, sprint planning, and testing discussions.
Collaborate with QA engineers and developers to establish reusable automation components, testing standards, and quality guidelines.
Review existing automation scripts, recommend improvements, and contribute to testing efficiency and maintainability.
Independently learn existing applications, frameworks, and business processes through technical documentation and team collaboration.
Identify opportunities to improve QA processes, testing coverage, and overall software quality.