Category Job Intel

QA Market Watch

Below is a snapshot of current QA openings I’ve picked up through my sourcing over the past week, along with roles candidates have reported interviewing for in Charlotte, NC. Most are hybrid. Job Seekers: Reminder that a reposted role doesn’t…

QA Market Watch

From what I’m seeing in the market, there’s been some QA movement at TQL and CPI Security. Over the last couple weeks, I’ve connected with QA engineers who have either interviewed with these organizations or recently moved on from them.…

New QA Automation Role

If you’re a QA Automation Engineer in the Charlotte area, this one’s worth a look. LoopQA just opened a QA Automation Engineering role based in Uptown Charlotte (2 days/week onsite). This is a backfill for an existing position, and I…

QA Sourcing Tip

One search trick that’s been surprisingly useful lately: Google X-Ray Search. Instead of relying only on LinkedIn, I’ve been searching job boards directly with Google. For example: site:job-boards.greenhouse.io intitle:(QA OR SDET OR “Test Automation” OR “Quality Engineer”) remote (“United States”…

QA Market Watch

Spoke with Liv Brandt this afternoon, a BDM over at Axiom Path, and she gave me a quick peek into her req load. She’s been actively placing QE talent across her client base over the last 6 months, but a…

LoopQA Hiring Update: Skill Over Resume, Process in Action

Activity Update: Interviews in process, with 1 candidate in final stage. All applicants receive the same Playwright-based assessment before speaking with engineering leadership. The process is intentionally designed to remove resume bias and evaluate skill directly. If you can do…

New QA Automation REQ’s

LoopQA just rolled out a couple of QA Automation Engineering roles in the Charlotte market focused on AI-driven testing initiatives. I spoke with the hiring manager this evening, Ryan Anderson. What stands out is that this is one of the…

Fractional Senior QA Engineer (AI / Agentic Systems)

We’re hiring a Senior QA Engineer to pressure-test AI systems that don’t fail in obvious ways. This isn’t traditional QA: it’s about breaking agentic workflows, RAG pipelines, and LLM-powered products in ways automated evals miss: hallucinations, tool misuse, context drift,…