We are seeking a highly skilled and experienced Senior/Staff QA Engineer to support a critical customer engagement. This role is ideal for a detail-oriented tester who thrives owning quality end-to-end — someone equally comfortable writing precise manual test cases and building automated coverage for a fast-moving agentic AI product.
The successful candidate will work closely with the Delivery Lead/Solutions Architect and customer engineering stakeholders to ensure product quality from initial test planning through final release.
Required Credentials- 5+ years of professional QA experience, with at least 2+ years at a senior or staff level.
- Demonstrated experience testing production software through a full Application Development Lifecycle (ADLC).
- ADLC Expertise: Strong understanding of the Application Development Lifecycle — from requirements through release and support.
- UI/UX Acumen: Solid UI/UX understanding, with the ability to evaluate usability and flag design/interaction issues, not just functional bugs.
- AI Agent Testing: Hands-on experience testing AI Agent use cases — including conversational flows, agent decision-making, tool/function calling, and edge-case or failure-mode behavior.
- Automation Frameworks: Proven experience with automated testing frameworks and building maintainable, scalable test suites.
- Infrastructure Management: Ability to stand up and manage a Playwright cluster to run automated end-to-end (E2E) testing against a live agent platform.
- Autonomy: Ability to independently define clear, well-structured test cases from ambiguous or evolving product requirements.
- Lifecycle Ownership: Experience driving full E2E QA lifecycle ownership: test planning, execution, defect triage, regression, and sign-off.
- Automation Frameworks: Deep expertise with Playwright (including cluster management and parallel execution).
- Languages: Proficiency in JavaScript / TypeScript or Python for writing automation scripts.
- AI/LLM Tools: Familiarity with testing LLM outputs, prompt evaluation frameworks, or conversational AI testing tools.
- CI/CD & DevOps: Experience integrating automated test suites into pipelines (e.g., GitHub Actions, GitLab CI, Jenkins) and working with Docker containerization.
- Defect Tracking & Tools: Proficiency with Git, Jira, and modern test management tools.
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Skills Required
- 5+ years professional QA experience with at least 2+ years at senior or staff level
- Experience testing production software through full Application Development Lifecycle (ADLC)
- Strong understanding of the Application Development Lifecycle from requirements through release and support
- Ability to evaluate UI/UX and identify usability and interaction issues
- Hands-on experience testing AI Agent use cases including conversational flows, decision-making, tool/function calling, and failure modes
- Proven experience with automated testing frameworks and building maintainable, scalable test suites
- Ability to stand up and manage a Playwright cluster for parallel E2E testing against a live agent platform
- Proficiency in JavaScript or TypeScript or Python for writing automation scripts
- Familiarity with testing LLM outputs and prompt evaluation or conversational AI testing tools
- Experience integrating automated test suites into CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins) and using Docker
- Proficiency with Git, Jira, and modern test management tools
- Ability to independently define clear, well-structured test cases from ambiguous or evolving requirements and own E2E QA lifecycle
What We Do
Ontrac Solutions helps organizations adopt emerging technologies to scale smarter. We build GenAI platforms, predictive analytics solutions, and drive cloud adoption. We're also a HubSpot partner, supporting landing page design, website development, CRM integration, workflows, and automation. From infrastructure to marketing ops, we deliver strategy and execution that drives growth.
