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I was able to pivot my career and land an AI-driven testing role through this community. Great experience all around.
Ryan Rossbach, Automation Engineer @ LoopQA
Straight From the Source
Real-time Charlotte QA hiring signals from sourcing conversations, recruiter activity and hiring manager feedback.
This page is where I share intel collected so QA professionals can get a clearer read on the market, from automation roles and interview trends to team expectations and the signals that can help candidates position themselves more effectively.
Automation Candidate Confessions Field Notes Job Local Recruitment Contacts LoopQA Market Signal Ovidius AI
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CK Layoffs: One QE I’d Hire
After Credit Karma’s recent layoffs, I received over a dozen calls from strong engineers. One just hit the market with phenomenal experience, and I had to spotlight him.
Deepak Vasanati is a Senior QE with a decade of experience in consumer fintech who built an AI-powered Quality Engine used across 10+ engineering teams, led large-scale test modernization efforts, and maintained zero P0 production defects for over a year.
P.S. His resume is one of the best I’ve seen in a long time. Clear, concise, and packed with measurable business impact. Honestly, I was starting to wonder if my resume scanner could even give out an A. Worth studying for how he frames impact.


If you’re building or scaling a quality engineering function and need someone who can architect the underlying systems, he’s worth a conversation.
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Credit Karma’s QA Bench Is Strong
Phone’s ringing from folks over @ Credit Karma after the Intuit layoffs. Hearing a decent number of senior QA engineers were impacted.
If you’re hiring and looking for strong quality engineering talent, I’d take a look at the CK roster. There are some really sharp people there.
And if you’re local to Charlotte and were affected, DM me. Happy to help however I can.
Reuters article HERE
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QA Market Watch: Current Signals
I’ve heard great things about The Hartford from my engineering community over the years. I noticed a couple good lookin’ QA gigs open on their site here locally (R2623925-166 && R2624556-166).
I spoke with a few engineers there today who mentioned they’d spot check what’s currently open. From what I gathered, QA seems to be embedded across most development teams.
One person did mention the first role (Senior Staff Engineer) is fairly niche: looking for someone with 10+ years as an application developer alongside deep QA automation experience. Beyond that, broader hiring priorities and business initiatives are still a little unclear to me.
Nice set of openings though and thought it was worth mentioning. If you’re currently interviewing with The Hartford, feel free to DM me: would love to connect and compare notes.
Plan to update if I can get clarity.
Update 5/13: reqs only show open in the system. Reached out to TA’s to check true status.
Update: 6/3- Spoke with a candidate interviewing with the hiring manager tomorrow 6/4. Looks like Michael is one of the internal TA’s over the req. Can’t wait to see how their tech IV process looks like.Suggested IV prep for The Hartford from current engineer:
Strong understanding of modern test automation frameworks, particularly Playwright, with experience supporting both in-sprint and regression automation initiatives. Practical experience leveraging AI-assisted development tools such as GitHub Copilot and MCP-based workflows to accelerate test creation and improve delivery efficiency. Focused on achieving high automation coverage and quality metrics while balancing speed, maintainability, and business objectives. Experienced with defect lifecycle management, test execution tracking, and Agile delivery environments. Familiar with emerging considerations around AI adoption, including governance, tool usage optimization, and cost/token management.Also curious: if you’ve been getting calls from SMBC in the Charlotte engineering market, I’d be happy to compare notes. Trying to get a better read on the overall landscape and what they’re building locally. Hear great things.
*I do not manage this requirement and simply sharing what I see in the market*
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Eng Leaders: Scaling QA for AI Systems
One of the more interesting conversations I sat in on recently wasn’t about building AI workflows. It was about maintaining them.
Ovidius AI was discussing a challenge I think a lot of AI implementation firms run into:
How do you maintain delivery quality as AI systems become more complex?
The workflows themselves weren’t the issue. The team already builds across tools like N8N, Next.js, Supabase, and multiple LLMs.
The challenge was operational:
regression testing,
edge cases,
inconsistent AI outputs,
error categorization,
and building QA processes that don’t cost as much as the projects themselves.That led to an interesting discussion with Ben Fellows and the team @ LoopQA around what QA for AI systems actually looks like in practice.
Not just “does this app work,” but:
- how to design reusable test harnesses
- where AI-generated test cases fit
- how to think about deterministic vs. generative outputs
- and how teams build trust and operational visibility around AI-driven workflows
It feels like a lot of companies are entering a new phase of AI adoption. The challenge is no longer just building workflows. It’s figuring out how to scale, validate, and trust them in production.
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Charlotte QA: Market Watch
Seeing continued demand for senior-level Quality Engineers with automation experience, particularly around modern QA practices, automation coverage, and supporting evolving engineering workflows which is exciting to see.
Example: Hearing TQL recently interviewed for this role and believe this is more of a backfill for an existing team than a broader hiring push. Big but exciting shoes to fill. The role still appears to be open on their website. Definately worth checking out. Click HERE
Charlotte, NC
Salary Listed: $85,000 – $110,000 base salary, benefits package, and company perks**I do not manage or oversee this position**
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Current Expectations for QA Leaders
A lot of engineering leaders are being asked to solve multiple problems at once:
→ increase delivery speed
→ adopt AI
→ reduce waste
→ and upskill existing teams while still shippingThat last part is…really tough.
I’ve been in the IT TA game for years, staffing up engineering teams and workshops like the ones Ben is leading at LoopQA are interesting because they’re less about “here’s another tool” and more about helping leaders navigate the operational side of modern QA: figuring out what’s actually useful, managing change across teams, and still being accountable for delivery.
Check it out HERE











