QA Assurance Analyst

Irth Solutions
Remote

About The Position

We are looking to fill a full-time Quality Assurance Analyst, remote-work position. Working as part of the Irth AIP engineering team, you will play a central role in ensuring the quality and reliability of our enterprise SaaS platform — used by pipeline operators across North America to make critical safety and integrity decisions. The ideal candidate is detail-obsessed, technically sharp, and passionate about quality as a craft — not just a gate. You thrive in an agile environment, can hold your own in conversations with developers and product managers alike, and bring a mindset of continuous improvement to everything you do. Experience with test automation is essential; exposure to AI-driven testing approaches is a strong differentiator.

Requirements

  • Experience with test automation is essential
  • Technically sharp
  • Detail-obsessed
  • Passionate about quality as a craft
  • Thrive in an agile environment
  • Can hold your own in conversations with developers and product managers alike
  • Bring a mindset of continuous improvement

Nice To Haves

  • Exposure to AI-driven testing approaches is a strong differentiator

Responsibilities

  • Own the full QA lifecycle for assigned features and releases — from requirements review through test planning, execution, defect tracking, and sign-off
  • Design, develop, and maintain comprehensive test plans, test cases, and test suites that cover functional, regression, integration, and edge-case scenarios
  • Build, maintain, and scale automated test frameworks and scripts using open-source and enterprise tooling reducing manual effort and increasing confidence
  • Perform exploratory, functional, regression, performance, and API testing across our ASP.NET / SQL Server / Azure-hosted SaaS platform
  • Review system requirements, user stories, and technical design documents early in the development cycle to surface risks and provide meaningful QA feedback
  • Collaborate closely with developers, product managers, and data engineers to identify, document, reproduce, and verify resolution of defects
  • Monitor and report on QA metrics - defect density, test coverage, open defect counts, and release readiness - to keep the team data-informed
  • Investigate root causes of non-conforming software and drive process improvements to prevent recurrence
  • Stay current with evolving QA methodologies, tools, and industry trends — especially in automation, AI-assisted testing, and SaaS quality practices
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