The offer was strong—compelling compensation, interesting product, a team that seemed sharp and energized. The engineer accepted. Two months later, he understood why they'd been so eager to hire.
The codebase was a minefield. Deployments that should have taken minutes took hours and frequently failed. Bugs in one component cascaded unpredictably into others. What looked like a product engineering role turned out to be a multi-year remediation project that previous engineers had already abandoned once.
"I feel like I was lied to," he told me.
He wasn't lied to, exactly. The company hadn't hidden anything specific. They just hadn't volunteered the full picture, and he hadn't known to ask. Now he was facing a choice: spend years fixing problems he didn't sign up for, or leave after a short tenure that would require explanation in future interviews.
| Question to Ask | What You're Probing | Red Flag Answer | Green Flag Answer |
|---|---|---|---|
| How long does a typical deploy take? | CI/CD health | "It depends" / avoidance | Specific time + explanation |
| What's your test coverage like? | Code quality investment | "We're working on it" | Honest number + strategy |
| What would you rebuild if you could? | Self-awareness of debt | "Nothing major" | Specific answer + why they haven't |
| Why did the last person in this role leave? | Role reality | Deflection | Honest answer |
| What's the oldest code I'd be working with? | Legacy burden | Vague or defensive | Clear answer + context |
I've seen this story dozens of times. Technical debt is universal—every codebase has some. But the difference between manageable debt and crippling debt determines whether you'll spend your time building the future or excavating the past. Understanding what you're walking into is essential[^1].
Why Technical Debt Matters for Candidates
Technical debt isn't just a company problem. It directly shapes your daily experience as an engineer.
Heavy debt means slow progress. When I talk to engineers who've left roles early, frustrated, a common theme emerges: they couldn't ship. Not because they lacked skill, but because the system fought them at every turn. Simple features required complex workarounds. Tests couldn't be trusted. Deployments were so risky that the team deployed infrequently, which made deployments riskier, which made the team deploy even less. The spiral consumed their energy.
Heavy debt also affects your learning and growth. If you spend two years primarily debugging production fires and untangling legacy code, you're not developing the skills you'd build working on a well-architected system. Your resume shows you were at the company, but what you actually did there may not translate to other contexts.
And heavy debt affects morale in ways that compound. I've watched enthusiastic engineers become cynical within months at companies where nothing ever quite works. The psychological weight of constant friction is real.
None of this means you should avoid companies with debt. Some of the most interesting engineering challenges involve cleaning up messes. But you should know what you're signing up for and be compensated accordingly.
The Spectrum of Technical Debt
Not all debt is equal. In my experience advising companies through technical transitions, I've seen debt ranging from "minor annoyances" to "existential threat to the business."
Healthy debt looks like this: the team knows where the problems are, they're actively working on improvements, and new features can still ship at a reasonable pace. Maybe deployments aren't fully automated, or test coverage is lower than ideal, or some older services need refactoring. But engineers feel productive, the codebase is directionally improving, and the issues are manageable.
Concerning debt is heavier. Deployments are painful. Bug fixes frequently introduce new bugs. Significant features require weeks of preparatory work before the actual implementation can begin. Engineers spend as much time fighting the system as building on it. The team talks about the problems but progress on fixing them is slow or absent.
Critical debt is existential. The system barely works. Engineers are afraid to change anything. Most of their time goes to firefighting. Talented people leave, making the situation worse. New hires often don't survive the ramp-up period. Leadership may or may not acknowledge the severity.
When I'm helping someone evaluate an opportunity, I try to figure out where on this spectrum the company sits. The answer shapes my advice dramatically.
How to Assess Debt During Interviews
The challenge is that companies are selling themselves during the interview process. No one opens by saying "Our codebase is a disaster and you'll be miserable." But with the right questions, you can usually get to the truth.
Start with deployment. "Walk me through what happens when you want to ship a change to production." This single question reveals enormous signal. Companies with healthy systems describe something like: automated tests run, PR gets reviewed, merge triggers a pipeline, deploy completes in minutes, monitoring confirms health. Companies with debt describe something more complex: "It depends," followed by mentions of manual steps, deployment windows, required approvals, coordination with other teams. The more complicated the story, the more debt exists.
Ask follow-ups: "How many times did you deploy last week?" Companies deploying daily are in fundamentally different shape than companies deploying weekly or monthly. "What was your last production incident, and how did you resolve it?" Listen for whether they have good observability and fast recovery, or whether incidents become prolonged investigations.
Probe the testing situation. "What's your approach to testing?" Strong teams describe clear testing strategies with automated enforcement. Weak teams hesitate, mention "areas that need improvement," or describe manual QA processes that everyone knows don't scale.
The meta-question matters as much as the answer: how comfortable are they discussing this? Teams with healthy relationships to their debt talk about it openly and specifically. Teams in denial get vague or defensive.
Ask about technical investment. "What percentage of your capacity goes to new features versus maintenance and debt reduction?" There's no universally right answer—context matters—but how they respond tells you about their relationship with technical health.
Companies actively investing in improvement will have specific plans: "We've allocated two engineers full-time to our platform modernization this quarter. We're targeting 80% test coverage by year-end." Companies that aren't investing deflect: "We focus on what the business needs," which usually means they're not investing.
Request a codebase walkthrough. Many companies will show candidates parts of the codebase during on-sites. Ask to see it. Even a 15-minute tour reveals signal: how is the code organized? Are there tests? What do deployment configurations look like? Does it feel like a system someone is proud of, or like a system that's survived by accident?
Not every company allows this, and that's understandable for security-conscious organizations. But reluctance combined with other warning signs is meaningful.
Talk to the engineers. Your future teammates have the least incentive to lie. They'll work with you if you join, so misleading you helps no one. Ask them directly: "What frustrates you most about working here?" "What's the hardest part about being productive in this codebase?" "If you could fix one thing about the engineering organization, what would it be?"
Listen to both what they say and how they say it. Specific, contained frustrations suggest manageable problems. Vague, systemic frustrations suggest something deeper. And watch for hesitation—engineers who pause before answering questions about the codebase are often deciding how much truth you can handle.
Red Flags That Should Make You Dig Deeper
Certain patterns reliably predict significant technical debt.
Nobody can explain the architecture. If your interviewers struggle to explain how the system works—not because it's secret, but because it's genuinely confusing—that's signal. Well-designed systems can be explained coherently. Accumulated messes cannot.
"We're planning a big rewrite." This phrase appears in companies that have let debt accumulate past the point where incremental improvement feels viable. The rewrite may be necessary, but rewrites are risky, often delayed, and frequently never happen. If you're joining because you're excited about the rewrite, verify it's actually funded and staffed.
High recent turnover. Engineers leave bad situations. When I see several departures in a short period, I assume there's something going on that made staying feel worse than leaving. Sometimes it's management problems or compensation issues, but often it's technical frustration.
Very long onboarding expectations. "It takes engineers about six months to be productive" is not a badge of complexity—it's usually an admission of accumulated mess. Well-designed systems with good documentation onboard engineers in weeks, not months.
Interview process chaos. How a company runs its interview process reflects how it runs itself. Disorganized scheduling, unclear communication, and dropped balls during recruiting often predict the same patterns in the engineering organization.
What Companies Should Actually Disclose
From the other side of the table, I advise companies to be honest about technical debt. Not apologetic—debt is normal—but clear.
Here's what I tell my clients to share:
Acknowledge reality specifically. "Our payment system was built quickly during our Series A and has accumulated technical debt. We're actively investing in improving it, but it's not beautiful. If you join the payments team, you'll spend meaningful time on modernization work." This is honest without being self-flagellating.
Show commitment to improvement. "We've allocated two engineers full-time to infrastructure improvement this quarter. Our CTO sponsors this work and it's tracked as carefully as feature work." Candidates want to know that debt reduction is valued, not just discussed.
Frame it accurately. Debt remediation can be interesting work for the right people. Some engineers find satisfaction in untangling messes and leaving systems better than they found them. Position the opportunity honestly for those candidates rather than pretending the mess doesn't exist.
Be clear about expectations. If the role involves significant debt work, say so. Don't describe a product engineering role when you're actually hiring for a rescue mission. Mismatched expectations create regret—both yours and the candidate's.
The best outcomes I've seen come from radical honesty. A company I advised started explicitly describing their technical debt to candidates and saw their acceptance-to-retention ratio improve dramatically. The candidates who accepted knew what they were getting into and often cited the honesty itself as a reason they trusted the organization.
Making Your Decision
If you've identified significant technical debt during interviews, you have a real decision to make. I advise candidates to think through several factors.
Do you enjoy this kind of work? Some engineers find debt remediation deeply satisfying. There's something rewarding about taking a chaotic system and making it orderly, about deleting thousands of lines of dead code, about watching build times drop from hours to minutes. If this sounds appealing, a company with meaningful debt might be exactly the right challenge.
Is there organizational commitment? Technical debt only gets fixed if leadership prioritizes it. If the engineering team wants to pay down debt but business leadership treats it as waste, you'll be fighting a losing battle. Look for evidence that debt reduction is valued, funded, and tracked—not just something engineers complain about.
Does the compensation reflect the challenge? Working in a difficult codebase is harder than working in a well-designed one. If a company has significant debt but is paying the same as companies without debt, they're either not recognizing the problem or hoping candidates won't notice. I typically advise candidates to expect 10-20% premium compensation for roles with heavy debt components.
Can you leave better than you found it? The best reason to join a company with debt is if you can make meaningful impact. But if the debt is so overwhelming that you'll barely move the needle in two years, or if organizational dysfunction will prevent your improvements from sticking, the experience may not be worth it.
When to Walk Away
Some situations warrant declining regardless of other factors.
Walk away if the company denies or minimizes debt that clearly exists. An organization that can't be honest about its problems during recruiting won't be honest about them during employment. You'll spend your time not just fighting the codebase but fighting the denial that there's anything to fight.
Walk away if there's severe debt plus aggressive feature expectations. This combination burns people out. If the system is broken and leadership still expects rapid feature delivery, someone is going to sacrifice their wellbeing to bridge the gap. Usually it's the newest hire, before they learn to say no.
Walk away if good people are leaving and citing technical frustration. This signal is hard to misinterpret. People who know the situation better than you have concluded it's not worth staying. Their judgment is better informed than yours.
Walk away if you sense you'll be blamed for not fixing unfixable problems. Sometimes companies hire engineers hoping a new person will solve problems that are actually organizational. If you sense you're being brought in as a scapegoat, trust your instinct.
The engineer who accepted that strong offer without investigating the codebase eventually left after eight months. He'd learned more than he expected—about legacy systems, about organizational dysfunction, about the importance of due diligence. His next job search was very different. He asked about deployments, requested codebase walkthroughs, and talked to future teammates about their frustrations.
He turned down two offers that felt too good to be true. The offer he accepted paid slightly less but came from a company that had showed him their test coverage, explained their debt and their plans to address it, and connected him with two engineers for honest conversations. He's been there two years now and plans to stay.
Technical debt isn't something to avoid universally. It's something to understand specifically—before you sign the offer letter.
References
[^1]: SmithSpektrum candidate experience data, 200+ engineers, 2020-2026. [^2]: Forsgren, Nicole et al., "Accelerate: Building High Performing Technology Organizations," 2018. [^3]: Martin Fowler, "Technical Debt," martinfowler.com. [^4]: Stripe Developer Coefficient Report, 2018.
Evaluating a role with technical debt concerns? Contact SmithSpektrum for objective assessment support.
Author: Irvan Smith, Founder & Managing Director at SmithSpektrum