You posted the role. You polished the stack. You offered solid pay, decent benefits, and a product that isn't embarrassing. Then the resumes came in like a spam attack wearing Patagonia vests.
Half looked suspiciously machine-written. Some candidates were decent on paper and completely lost in the interview. A few were sharp, but they vanished into another process before your recruiter finished scheduling the panel. Meanwhile, your roadmap sits there like a half-built bridge.
That's the software engineer shortage in real life. Not a Hollywood shortage where nobody exists. A practical shortage where qualified, available, affordable engineers are much harder to hire than the headlines suggest.
A founder I know recently tried to hire one senior backend engineer. Pretty normal ask. Someone who could own APIs, make sane architecture decisions, and not turn every sprint into group therapy. What he got was a giant pile of polished resumes and a calendar full of interviews with people who talked a great game and coded like they were diffusing a bomb with oven mitts.
Sound familiar?
The weird part is that this feels like it shouldn't be happening. You hear about layoffs and assume the talent market must be overflowing. That logic makes sense for about five minutes, right up until you try to hire someone who can ship production code without setting your team on fire.
According to Pragmatic Engineer's software job market analysis, despite over 260,000 tech layoffs, 87.5% of tech leaders still rated hiring skilled engineers as “difficult” or worse, senior hiring timelines stretched to 3 to 6 months, and 50% of companies said up to 60% of the candidates they interview are unqualified. That's not a healthy market. That's a crowded airport where none of the flights go where you need.
Many organizations don't have a resume problem. They have a filtering problem.
You can get applicants. You can book screens. You can burn entire weeks debating GitHub profiles and portfolio projects. But if your pipeline is full of candidates who can't handle your actual stack, your hiring funnel is just theater with a scheduling app.
Practical rule: A full funnel means nothing if the people at the bottom can't do the job.
That's why generic recruiting advice falls apart. “Broaden the net.” “Improve employer branding.” “Move faster.” Fine. Helpful in theory. But if you're still fishing in the same crowded market with the same weak vetting, you're just speeding up the wrong machine.
If your team is stuck in that loop, it helps to first get honest about what breaks in engineering hiring and why. This breakdown on recruiting for engineers gets into the mechanics. It forces the right question: are you hiring for signal, or just sorting noise more efficiently?
It looks like this:
That's why I don't buy the lazy take that the software engineer shortage is “over.” For junior generalists, the market changed. For strong seniors in the skills companies need, it's still a knife fight.
The shallow-pool feeling isn't in your head. The math is bad.
The U.S. produces around 100,000 computer science graduates annually, but there were 1.48 million open software developer jobs in 2023, which works out to nearly 11 openings for every graduate, according to Mismo's analysis of software engineer shortage causes. If you've been trying to solve this with a cleaner job ad and a nicer careers page, I admire the optimism. But this is a supply problem wearing a process costume.
Founders often assume they're losing because another company pays more. Sometimes that's true. More often, there aren't enough production-ready engineers for the roles being opened.
And “software engineer” is too broad to be useful anyway. You're not hiring an abstract noun. You need someone who can stabilize a Node.js service, tune a PostgreSQL bottleneck, work inside AWS, review pull requests without missing obvious flaws, and make decent tradeoffs when the product manager asks for three miracles before Friday.
That person is not interchangeable with every applicant who lists “JavaScript, Python, cloud, AI” on LinkedIn.
The same Mismo analysis notes that tech skills become obsolete in about 2.5 years. That's brutal, but believable. Anyone hiring around AI tooling, Kubernetes, modern backend systems, cloud infrastructure, or newer languages already knows it.
Universities move slowly. Curricula move slower. Product demands do not care.
Here's the ugly little truth underneath the software engineer shortage: even when people are employed, many aren't current on the tools your team needs today. So the pool shrinks twice. First because there aren't enough engineers overall, and then again because a chunk of the existing pool is outdated for your use case.
You're not competing for “engineers.” You're competing for the sliver of engineers whose skills are current, whose judgment is real, and whose availability lines up with your timeline.
Big companies can absorb inefficiency. Startups can't.
A giant enterprise can drag a role out for months, add seven interview rounds, and call it rigor. You don't have that luxury. You need someone who can join the repo, understand the system, and contribute without needing a six-month apprenticeship and a ceremonial welcome basket.
A simple way to frame it:
| What you need | What the market often sends |
|---|---|
| Engineers with current stack depth | Applicants with broad but shallow keywords |
| People who can solve production problems | People who interview well and stall in execution |
| Fast ramp-up | Long training curves |
| Real ownership | Resume decoration |
That's why the talent pool feels shallow. Because for the work most companies need to get done, it is.
Let's talk about the expensive part.
A lot of companies treat hiring like an administrative workflow. Post job. Source candidates. Screen resumes. Run interviews. Debrief. Repeat until morale dies. But in a software engineer shortage, a slow and sloppy hiring process doesn't just waste time. It actively burns cash, team energy, and product momentum.
According to Lemon.io's breakdown of the software engineer shortage, 74% of businesses skip rigorous technical assessments, only 7% of new hires deliver immediate value, and one company reported wasting over $20,000 on failed assessments for a single role. That's not a hiring hiccup. That's a leak in the hull.
The old model assumes resumes are decent proxies for skill. They aren't.
Today, candidates can polish language with AI, tune portfolios for keywords, and make weak experience look enterprise-grade. So your team ends up doing detective work instead of evaluation. You're checking dates, scanning GitHub, reverse-engineering project claims, and asking senior engineers to spend afternoons proving that a candidate knows React, TypeScript, Docker, or CI/CD instead of just spelling them confidently.
If you want a broader view of firms solving this problem from different angles, this directory can help you find top Web3 and AI outsourcing partners. Not because every company should outsource, but because it shows how many teams have stopped relying on old-school local recruiting alone.
Traditional hiring often overweights polish and underweights output.
Here's where companies trip over their own shoelaces:
A stronger approach is skills-based hiring. Not because it's trendy. Because it replaces vague proxies with the one thing that matters. Can this person do the job you need done?
Hiring by pedigree in this market is like buying servers based on the box art.
The biggest cost usually isn't recruiter fees or assessment tools. It's delay.
When a role stays open, your current team stretches. Releases move. Bugs linger. Product decisions get postponed because nobody has capacity to execute them well. By the time you finally hire, you're not just filling a seat. You're recovering from months of avoidable drag.
That's why I'm blunt about this. Traditional hiring isn't merely old-fashioned. In many teams, it has become a direct growth tax.
If your answer to the software engineer shortage is “let's try harder in the same market,” you're not solving the problem. You're rehearsing it.
The biggest hiring myth in tech is that your best candidate probably lives nearby. That idea made sense when teams needed everyone in one room around one whiteboard eating one sad box of pizza. It makes far less sense now.
Founders still do this strange thing where they accept remote customers, remote vendors, remote tools, and remote investors, but insist their next engineer must somehow be local to feel “real.” Why? So they can attend one quarterly offsite and nod in person?
The better question is simple. Can they solve the problems your team has?
If yes, geography should be a constraint of last resort, not first instinct.
Skills-based hiring sounds obvious until you watch how many companies ignore it.
They write job descriptions packed with pedigree clues. “Top-tier experience.” “Fast-paced environment.” “Excellent school preferred.” Then they wonder why they attract people who are great at presenting themselves and mediocre at doing the work.
A better filter looks more like this:
That's how you widen the pool without lowering the bar.
The goal isn't to hire cheaper people. It's to stop excluding capable people for irrelevant reasons.
I like training. I like mentorship. I like building talent internally when the timeline allows it.
But startups love telling themselves they'll “grow someone into the role” when what they really need is someone who can contribute now. If you need a senior engineer and hire a junior with hope and vibes, you didn't solve a hiring gap. You created a management project.
For stable teams with room to train, great. For a company trying to hit product milestones, close enterprise customers, or stabilize a fragile codebase, that's often fantasy.
You don't fix a leaking roof by enrolling someone in a roofing course and praying for dry weather.
This is the part many teams miss because they're still staring at the same domestic funnel and wondering why it keeps coughing up disappointment.
The smartest move isn't necessarily offshore to the other side of the planet. It's nearshore. Specifically, Latin America.
According to Grid Dynamics on the U.S. software developer shortage, Latin America has over 800,000 pre-vetted tech professionals and produces 1.5 million STEM graduates annually. The same analysis says U.S. companies can hire from this nearshore pool 80% faster and at 80% lower costs, while avoiding H1-B visa delays that average 6 to 12 months.
That's not a cute workaround. That's a strategic advantage.
The first win is time zone overlap.
You don't need a heroic async culture to collaborate with engineers in Latin America. You can run standups, unblock work the same day, review pull requests in real time, and pair on a nasty bug without anyone logging on at midnight. That matters more than people admit. A remote engineer who works with your team's hours feels like a teammate. One who lives twelve time zones away often feels like a handoff process.
The second win is talent depth. Not bargain-basement labor. Not resume inflation. Real engineers with experience in modern stacks, startup environments, agency delivery, and U.S.-based collaboration.
Many companies rely on an immigration plan they don't control.
That's risky. Visa processes move on their own timeline, not yours. If you need engineering capacity this quarter, waiting on paperwork is like planning your launch around weather reports from another continent. You might get lucky. You might also miss your window.
Nearshoring gives you access to talent without building your hiring strategy around government processing.
Let's kill that idea.
Weak founders hear “lower cost” and think “discount engineers.” Strong founders hear “lower cost” and think “same budget, more capability, less delay.” Those are very different mindsets.
The value of LATAM talent isn't that it's inexpensive. The value is that you can hire strong engineers faster, keep collaboration tight, and avoid paying inflated local-market premiums for the privilege of waiting around.
A practical comparison:
| Option | Common pain |
|---|---|
| Local U.S. search only | Thin pool, premium pricing, long delays |
| Far-off offshore model | Bigger time gaps, slower collaboration, more handoff friction |
| LATAM nearshore hiring | Time zone alignment, broader pool, better speed-to-team |
Nearshore hiring only works well if the vetting is real.
If you just grab random profiles from a marketplace, you can absolutely recreate the same mess you already have. The point is not to hire internationally for the sake of it. The point is to access talent that has already been screened for technical depth, communication, and fit for distributed work.
That's why a curated route usually beats raw sourcing. If you're evaluating options, start with a platform built specifically to hire Latin American developers rather than trying to duct-tape together sourcing, screening, contracts, payroll, and compliance yourself.
You're not trying to become an international HR department. You're trying to hire great engineers and keep the product moving.
Complaining about the software engineer shortage won't ship anything. The market isn't going to become magically convenient because you wrote a better LinkedIn post.
The U.S. Bureau of Labor Statistics projects that software developer employment will grow 17% from 2023 to 2033, versus 3% for all occupations on average, according to iTransition's roundup of BLS software development statistics. Translation: this is a structural problem. Treating it like a temporary rough patch is how companies stay understaffed for years.
Get painfully honest.
How long does it take your team to fill an engineering role? How many internal hours go into sourcing, screening, interviews, debriefs, and follow-ups? How often do candidates reach final rounds and fail basic technical validation? Where are your engineers losing productive time to hiring chores?
Write it down. If the process feels expensive, it probably is. Most teams undercount the cost because they only track invoices, not attention.
Your next job description should read like a problem statement, not a wishlist from a prestige-obsessed committee.
Cut the fluff. Cut the weird signals. Cut the location bias unless the role requires it. Say what the person will own, what tools they'll work in, what good performance looks like, and what level of autonomy the role demands.
If you want another founder-focused perspective on tightening this process, how Underdog.io helps startups hire is worth a look. Not for dogma. For the reminder that startups win when they make hiring simpler, sharper, and less ceremonial.
Your hiring process should identify builders, not reward people who are best at surviving six rounds of corporate improv.
The breakthrough usually happens at this point.
Open a parallel hiring lane that focuses on vetted nearshore talent. Don't frame it as a backup plan. Treat it like a smarter sourcing strategy. Evaluate candidates on the same bar you'd use locally, but stop limiting the search to one overpriced geography.
If you want the shortest path, explore a platform like LatHire. The point isn't to buy a miracle. It's to stop spending months rebuilding the same broken pipeline when a stronger one already exists.
Three rules for doing this well:
The founders who win this market aren't luckier. They just stop insisting on a hiring model that stopped making sense a while ago.
The software engineer shortage is real. But the bigger problem is that most companies still respond to it with the same stale playbook that caused the pain in the first place.
Audit the process. Hire for skills. Drop the geography bias. Then explore a vetted nearshore platform like LatHire if you want faster access to strong engineers without turning your team into a full-time recruiting department.
That's not a hack. It's just finally using the market the way it works.
