The 3 Skills Gaps That Tank QA Automation Interviews

After conducting multiple technical interviews for QA automation roles in my career, I’ve discovered that even experienced engineers fail at the same three fundamentals. Here’s what’s really happening - and how to prepare.

As a technical interviewer specializing in QA automation roles, I’ve sat across multiple candidates - from fresh bootcamp graduates to engineers with decades of experience. And here’s what surprises me most: the same three gaps appear repeatedly, regardless of seniority level.

These aren’t knowledge gaps. They’re preparation gaps. And they’re completely fixable.

If you’re preparing for QA automation interviews in today’s market, understanding these patterns could be the difference between another rejection and landing your role. Let me share what I’ve learned from the other side of the interview table.

Gap #1: JavaScript/TypeScript Fundamentals - Where 80% Stumble

The Problem

Here’s the harsh reality: I’ve watched Senior QA Engineers with 8+ years of experience completely freeze during live coding exercises. And we’re not talking about complex algorithms or LeetCode-style problems (which I absolutely hate and never use). We’re talking about basic syntax, async/await patterns, and TypeScript-specific features like interfaces and types. The most common scenario? A candidate who writes Playwright or Cypress tests daily suddenly can’t create a simple class from scratch or properly handle a promise chain.

Why This Happens

Most QA engineers learned automation on the job, modifying existing test suites rather than building from zero. They know how to use the tools but not why things work the way they do. When AI tools like Copilot, Codex, Gemini-Cli, Claude Code, and probably many more handle the boilerplate, the fundamentals atrophy even further.

The Fix

Practice writing code FROM SCRATCH. Not modifying, not copying - creating.

Here’s your homework:

Build a small API testing framework
Create a page object model from an empty file
Write promise chains and convert them to async/await
Implement a test data generator with proper TypeScript types

Yes, it’s uncomfortable. Yes, we have AI tools for this now. But that’s exactly why you need to do it - to understand the core concepts behind the functions you’re calling every day. When you’re in that interview room or zoom/teams call and the nerves kick in, muscle memory from practice will save you.

Gap #2: API Testing Beyond Theory

The Problem

“I work with APIs daily” has become the “I’m proficient in Microsoft Office” of QA resumes. When I ask candidates to create a simple Postman test with environment variables or handle authentication tokens, many struggle visibly. Ask about WebSockets? GraphQL? Contract testing? Often complete blanks. The disconnect is startling - these same people probably debug API issues regularly in their current roles.

Why This Happens

There’s a massive difference between using APIs through existing frameworks and understanding API testing at a fundamental level. Many QAs interact with APIs through abstraction layers and never need to handle raw requests, authentication flows, or response validation directly.

The Fix

Get your hands dirty with raw API testing. This weekend, do this:

Open Postman and actually write tests in the Tests tab (not just send requests)
Learn about JSON schema validation and implement it
Set up a mock WebSocket server and test real-time communications
Create a brand new Playwright project and build an API test suite from scratch

Pro tip: Use AI to verify your work at the end, but ask it not to provide answers - only to point out missing pieces. This builds understanding rather than dependency.

Many testers are so used to their existing project environment that they forget how to run a single test in a new project. Don’t be that person.

Gap #3: The “Why” Behind the “How”

The Problem

Me: “Why does your team use Playwright over Cypress?” Candidate: “Because it’s modern and supports multiple browsers.”

This isn’t wrong, but it also sounds to me like a hype train. Can you articulate architectural decisions? Explain testing strategies beyond explaining your team’s development process? Discuss actual trade-offs between different approaches?

When I dig deeper - asking about test architecture decisions, framework limitations, or strategic choices - the conversation often stalls.

Why This Happens

In the day-to-day rush of sprints and deadlines, we focus on delivering tests, not philosophizing about them. But senior roles require strategic thinking, and interviews test (or should at least) for it explicitly.

The Fix

Develop your testing philosophy. For every tool and framework in your kit:

Write down 3 pros and 3 cons
Understand the problems it was designed to solve
Know what alternatives exist and why you’d choose one over another

Study the fundamentals:

Testing pyramid (and its alternatives like the testing trophy)
Test design patterns and when to apply them
System architecture and how it impacts test strategy

Be ready to explain WHY your team follows certain practices and whether you agree with them. Having opinions (backed by reasoning) shows senior-level thinking. You don’t have to agree with me - you need to tell me why you think that way.

The Reality Check: It’s Not About Perfect Code

Here’s what candidates don’t realize: we’re not looking for perfection. We’re looking for problem-solvers who can articulate their thinking and demonstrate a growth mindset.

One of my favorite interview moments? A candidate said, “I’ve never tested WebSockets but I built a small chat app with them. Here’s how I would approach testing…” then outlined it perfectly. That honesty plus methodology? That’s what makes candidates shine.

We know interview conditions are artificial. We know you’re nervous. We’re looking for how you handle uncertainty, how you break down problems, and whether you can communicate your thought process.

Your Two-Week Interview Prep Plan

Here’s the truth: with focused preparation, you can address these gaps in just two weeks and put yourself ahead of 70% of other candidates.

Week 1: Fundamentals

Days 1-3: JavaScript/TypeScript basics Days 4-5: Build a mini testing framework from scratch Weekend: API testing deep dive

Week 2: Application

Days 8-10: Practice explaining your current project’s architecture Days 11-12: Mock interviews (record yourself!) Days 13-14: Research the company’s/offer’s tech stack and prepare questions

Daily throughout

Code for 30 minutes without AI’s help.

A Note for Hiring Managers

Stop asking QA Engineers to reverse binary trees. Seriously.

In all of the interviews I had, the most revealing moments never came from LeetCode-style problems or algorithm challenges. They came from real-world scenarios where there’s no single “correct” answer. Here’s what actually works:

Give them a real problem your team faced. For example: “Our payment confirmation tests are randomly failing on CI but passing locally. Walk me through your investigation”.
Watch what happens. Some candidates dive straight into technical debugging. Others start with infrastructure questions. Some ask about team dynamics and communication. None of these approaches are wrong - they reveal how the candidate thinks.

The best scenario-based questions:

“We need to test bulk payment system processing 10.000+ transactions. What’s your approach?”
“A critical bug appears only during market trading peak hours. How do you investigate?”
“The business wants to add real-time price alerts. Design the test strategy.”

Notice what these have in common? They’re actual problems from actual projects. They test:

problem decomposition skills
risk assessment ability
communication and collaboration approach
technical depth when relevant
business awareness

Some candidates will focus purely on the technical implementation. Others will consider infrastructure, monitoring, team capacity, or business impact. The breadth of their thinking tells you if they’re a test executor or a quality strategist.

Potential interview formula:

15 min take-home (basic automation task)
30 min discussing their solution and extending it during live coding
30 min scenario-based problems
0 minutes on algorithmic puzzles

You’ll learn more about a candidate from hearing them think through “How would you test Websocket connections in a trading platform?” than from watching them struggle with binary tree traversal they’ll likely never use.

The market is full of excellent QA Engineers who fail traditional coding interviews. Don’t miss out on them because they can’t solve problems that have nothing to do with the job.

The Bottom Line

The market is tough right now - I feel you. I’ve been on that side of the table too. But these gaps are completely fixable with intentional practice.

Every candidate who struggled with live coding in my interviews probably writes solid tests daily. The difference between success and failure isn’t capability - it’s preparation. Practice under pressure. Join coding meetups. Pair program with colleagues. Record yourself solving problems. Make it a challenge and resist the urge to lean on AI for everything. Two weeks of focused preparation on these three areas will transform your interview performance. Not because you’ll suddenly become a better engineer, but because you’ll be able to demonstrate the skills you already have.

What’s your biggest interview challenge? What’s the question that stumped you? Drop a comment - I’m happy to share specific strategies for common interview scenarios.