QA Engineer

Role & responsibilities

• Own test planning, test case design, and execution for RFgen product

features and releases, through regression and release certification.

• Determine how a feature should be tested from specifications and product

behavior, including edge cases, negative paths, and failure modes.

• Perform functional, regression, exploratory, compatibility, upgrade, and

system-level testing on the RFgen product.

• Test the RFgen VBA language library the scripting functions and event

handlers used to build RFgen applications including backward compatibility

across releases.

• Review issues raised by Professional Services and determine whether they

can be handled through the existing RFgen library or need a fix in the product.

• Build and maintain your own test environments: Windows servers, virtual

machines, databases, and device setups.

• Troubleshoot failures end to end reproduce, isolate the layer at fault, read

logs and raise defect reports Engineering can act on.

• Adopt AI-driven QA practices and tools, and identify new opportunities where

AI can improve testing.

• Track defects through resolution, and report coverage, progress, risks, and

release readiness to stakeholders.

• Work with Engineering, Product, and Support on requirements, customer-

reported issues, and root cause analysis; support ERP implementation project

testing as needed.

• Maintain QA documentation, test artifacts, and quality standards.

Preferred candidate profile

• 4+ years of experience in software testing and quality assurance.

• Product testing background — testing a commercial software product across

releases, not only implementation projects.

• Hands-on manual testing using black-box, functional, and exploratory

techniques.

• Test planning and structured test case design, including building coverage for

an unfamiliar feature from first principles.

• Strong troubleshooting skills across logs, configuration files, and environment

settings to isolate root cause.

• IT and infrastructure fundamentals: Windows Server, virtual machines, installs

and upgrades, and networking basics.

• Demonstrated use of AI tools (e.g., ChatGPT, Claude) in the QA context.

• Ability to assess risk, prioritize, and manage multiple assignments in parallel.

• Clear written and verbal communication — this role works directly with our

US-based Product, Engineering, and Support teams.

• Ability to work independently, take ownership of testing, and bring new ideas

rather than only executing given test cases.

• Basic understanding of programming concepts and the SDLC.

Added Advantage:

• Test automation experience (UI or API) — Playwright, Selenium, Appium,

Cypress, or equivalent.

• Exposure to ERP, Warehouse, or Inventory Management systems — SAP,

Oracle EBS, Oracle Cloud, JD Edwards, or Deltek Costpoint.

• Experience testing desktop applications and enterprise products that integrate

with backend systems such as ERP and databases.

• Mobile or handheld device testing (Android, barcode scanners, terminal

emulation).

• API testing (REST, Postman or similar) and basic SQL for backend validation.

• Experience with Jira and test management tools such as Zephyr.

• Familiarity with AI-driven testing tools, automation frameworks, or data

analysis techniques.

• Interest in finding new ways to apply AI in daily QA work.