Software Engineering Jobs Jump 30% to 67,000 Openings — Even as 52,000 Tech Workers Are Laid Off in 2026

The headlines about tech layoffs have been relentless in 2026. Oracle cut an estimated 20,000 to 30,000 workers. Meta has trimmed headcount. GoPro slashed its team. In total, the tech industry shed approximately 52,000 jobs in the first quarter of 2026 alone — one of the worst periods for tech employment since 2023.

But here's what those layoff headlines are not telling you: software engineering job listings simultaneously climbed 30% in 2026, hitting 67,000 open roles — a three-year high — according to TrueUp, the hiring analytics firm that tracks open positions across more than 9,000 tech companies. The same industry cutting workers in one division is aggressively hiring engineers in another.

The explanation is AI. Companies are not retreating from technology — they are doubling down on it, and that acceleration is creating urgent demand for the engineers who build, maintain, and secure AI-powered systems. For tech workers trying to make sense of a confusing market, this data offers a clearer picture of where opportunities are growing — and why.

Why Are Software Engineering Jobs Spiking While Layoffs Are Also Rising?

The simultaneous rise in layoffs and job openings reflects a fundamental restructuring of the tech workforce, not a simple expansion or contraction.

Companies that over-hired during the pandemic era are trimming legacy roles — support functions, middle management, and positions that AI tools can now partially automate. At the same time, those same companies are racing to build, deploy, and manage AI systems, and that work requires skilled engineers. The result is a paradox: mass layoffs in some departments, aggressive hiring in others.

TrueUp's data, reported by Business Insider in early April 2026, shows that more than 67,000 software engineering positions are currently open — more than double the 2023 low point. Business Insider noted this represents the highest count in over three years, driven primarily by companies investing in AI infrastructure, product development, and enterprise software upgrades.

Part of the demand surge is also being attributed to what analysts are calling the "vibe coding effect." The Information reported that the number of new apps on the Apple App Store rose 30% from 2024 to 2025, as AI coding tools lowered barriers to building software. More apps means more engineers needed to maintain, scale, and improve them.

As Metaintro CEO Lacey Kaelani told TestGorilla, forward-thinking companies are "putting skills at the center of their workforce planning — analyzing skills adjacencies to identify who can be upskilled into emerging roles, predicting talent gaps before they block strategic initiatives, and building internal mobility pathways that reward capability over credentials." That is precisely what is happening across the tech sector right now: the credentials bar may be shifting, but the skills bar is rising fast.

What Kind of Software Engineering Roles Are Actually Being Filled?

Not every software engineering job is created equal in 2026. The surge in listings is heavily concentrated in roles that intersect with AI, cloud infrastructure, and cybersecurity — not general coding positions that AI tools are beginning to replicate.

ISC2, the cybersecurity workforce organization, reports that 75% of hiring managers in the tech sector plan to add more staff in 2026, with cybersecurity as the top growth area. The Bureau of Labor Statistics projects 33% employment growth for information security analysts through 2033 — roughly eight times the average growth rate for all occupations.

Tech job postings related to AI are up 117% year-to-date compared to the same period in 2025, according to industry tracking. AI and machine learning engineering roles remain in highest demand, followed by cloud infrastructure engineers, DevOps specialists, and engineers who can build AI safety and security systems.

The skills most sought after are shifting too. AI is now the number-one most in-demand skill in cybersecurity specifically, cited by 41% of job listings — surpassing cloud security (36%) for the first time in 2026, according to workforce data tracked by StationX. The message is clear: companies do not just want engineers who write code. They want engineers who understand how AI systems work, where they fail, and how to make them more secure and reliable.

How Does the "Vibe Coding Effect" Create New Engineering Demand?

AI has dramatically lowered the barrier to building software. Tools like GitHub Copilot, Cursor, and a wave of code-generation platforms mean that founders, product managers, and even non-technical professionals can now create working applications faster than ever before.

This sounds like a threat to software engineers at first glance. But the data suggests the opposite is true: more software being built means more software that needs to be maintained, optimized, and secured. AI-generated code frequently introduces bugs, security vulnerabilities, and scalability problems that only trained engineers can identify and fix.

Gizmodo noted in its analysis of the TrueUp data that the quality concerns around AI-generated code flooding the market are actually increasing demand for senior engineers who can review, audit, and improve what AI produces. The value is shifting toward engineers who can evaluate and refine AI outputs, not just generate code themselves.

This is why the engineering job market is bifurcating. Entry-level roles that overlap heavily with what AI tools can automate are contracting. Senior and specialized roles — those requiring judgment, security expertise, and AI systems knowledge — are expanding rapidly.

Which Companies Are Hiring Software Engineers Right Now?

The hiring surge is not evenly distributed. The companies driving demand are primarily those with active AI programs, major infrastructure investments, or products that are scaling rapidly.

Anthropic, the AI safety company, has been on an aggressive hiring spree across engineering, research, and infrastructure roles. Microsoft, which has deeply integrated AI across its product suite through its partnership with OpenAI, continues to add engineering headcount. Amazon and Google are both investing heavily in AI infrastructure that requires large engineering teams to build and maintain.

Beyond the hyperscalers, enterprise software companies are also hiring. Companies building vertical AI applications — in healthcare, finance, legal, and logistics — are competing aggressively for engineers who understand both domain knowledge and AI systems. Startups that raised funding in 2024 and 2025 are now in growth mode, expanding engineering teams to ship products.

The 9,000+ tech companies tracked by TrueUp include a mix of public enterprises and high-growth startups — a span that illustrates how broad the engineering demand is across the sector, not just at the largest players.

What Should Tech Workers Take Away From This Data?

The 30% surge in software engineering job listings is an encouraging signal, but it comes with important caveats. Gizmodo cautioned readers to treat the TrueUp data as "an interesting data point, rather than as a sign that everything is fine" — noting that ghost jobs and AI-powered HR filtering still make the application process frustrating even when listings are high.

The practical takeaways for tech job seekers are clear:

First, the market is rewarding specialization. Engineers with AI, machine learning, cybersecurity, or cloud expertise are in a fundamentally different position than generalist developers. Building depth in any of these areas significantly improves job security and earning potential.

Second, AI coding tools are a professional asset, not a threat. Engineers who learn to work effectively with GitHub Copilot, Cursor, and other AI tools — and who can evaluate and improve AI-generated code — are more valuable, not less.

Third, the layoffs and the job openings are happening in parallel because companies are restructuring, not retreating. That means there are real opportunities for engineers who position themselves in the growth areas — and real risks for those who remain in roles that overlap with automation.

The Bureau of Labor Statistics data reinforces this long-term view. Information security analysts alone are projected to add 59,100 annual openings over the next decade, far outpacing almost every other professional field. The engineers who are building, securing, and scaling AI systems are not facing displacement — they are building the infrastructure that the next decade of work depends on.

People Also Asked

Q: Why are software engineering jobs growing while tech layoffs are also happening in 2026?

A: The two trends reflect a restructuring of the tech workforce, not a contradiction. Companies are cutting legacy roles and pandemic-era over-hires while simultaneously investing in AI systems that require skilled engineers to build and manage. TrueUp data shows 67,000 open software engineering roles — a three-year high — even as 52,000 tech layoffs occurred in Q1 2026.

Q: What types of software engineering skills are most in demand right now?

A: AI and machine learning engineering, cybersecurity, cloud infrastructure, and DevOps are the fastest-growing specializations. The Bureau of Labor Statistics projects 33% growth for information security analysts through 2033, and AI is now the top in-demand skill in cybersecurity job listings, cited by 41% of postings according to StationX.

Q: Should software engineers be worried about AI replacing their jobs?

A: The data suggests engineers who adapt their skills are in strong demand. AI coding tools are increasing the volume of software being created, which expands demand for engineers who can review, debug, and secure AI-generated code. Senior and specialized roles are growing — but entry-level positions that overlap heavily with AI automation are contracting.

Ready to explore opportunities in tech? Metaintro scans millions of job listings daily so you can find the roles where companies are actually hiring right now. Sign up free and see what's open in software engineering, AI, and cybersecurity today.