A Tale of Two Tech Markets
The broader Indian tech industry is navigating a period of pronounced caution. After years of frenetic hiring, major IT services firms have significantly slowed recruitment, with some showing net zero or even negative employee additions in recent quarters.
This follows a global trend of tech layoffs, with tens of thousands of jobs cut worldwide in 2026 as companies restructure for an AI-driven era. Active tech job openings in India hit a 28-month low in mid-2026 before showing nascent signs of recovery. Even so, the sentiment is one of correction and calibration, a stark contrast to the growth-at-all-costs mindset of previous years. This has created an atmosphere of uncertainty for many in the ecosystem, from startup founders to non-technical staff.
The Engineering Exception
Amid this cautious climate, skilled software engineers remain in a position of relative strength. While overall hiring has been muted, demand for specialised engineering talent is robust. Reports from August 2026 indicate a resurgence in technology compensation, with IT roles once again leading salary rankings across all experience levels. This isn't broad-based hiring; it is sharply capability-driven. A recent survey noted that while many tech professionals worry about layoffs, engineers were among the least concerned. The market has become highly selective, creating a reality where a mid-level engineer with in-demand skills can still attract multiple offers, while those with more generic profiles find the market tougher.
The AI and Specialisation Shield
The primary driver of this confidence is the surging demand for specific, high-value skills. The wave of generative AI has reshaped the market, creating intense competition for engineers who can build, integrate, and manage AI and machine learning systems. India is projected to need one million AI professionals by 2026, a massive demand-supply gap that gives skilled individuals immense leverage. Demand for AI-skilled developers in India has soared by over 660% since 2021. This extends to related fields like data engineering, cloud computing, and cybersecurity, where compensation premiums are running 20-30% higher than for generalist roles. Put simply, if an engineer possesses skills in these scarce, high-impact areas, they are largely insulated from the broader market slowdown.
Global Demand and Shifting Hiring Models
The confidence of Indian engineers is also bolstered by their global appeal and evolving employment structures. India remains a top global destination for technology talent, second only to the US in AI-related job postings. Furthermore, the rise of Global Capability Centres (GCCs) has provided a powerful new hiring engine. While traditional IT services firms have been cautious, GCCs — the offshore technology hubs of large multinational corporations — are expanding aggressively. These centres are hiring for high-end, core engineering work and are on track to add hundreds of thousands of employees, often outpacing the hiring of legacy IT firms. This provides engineers with an alternative, often higher-paying career path that is less susceptible to the cyclical nature of IT services contracts.
A Market of Skill, Not Just Scale
This confidence, however, is not universal. The current market is bifurcated, heavily favouring those who have continuously upskilled. The era of volume hiring for generic coding roles has cooled. Today, hiring is skill-intensive, not volume-driven. Salary data for 2026 shows a vast range, with top-tier AI/ML engineers commanding multiples of what a generalist software developer might earn. An entry-level engineer at an IT services firm might start around ₹3-6 LPA, while an experienced AI specialist at a product company or GCC could earn upwards of ₹80 LPA or more. This underscores a crucial reality: the confidence of Indian engineers is directly proportional to their investment in acquiring the specialised, future-proof skills the market now demands.
