&w=3840&q=100)
Tech salaries: Python freshers get ₹11.5 LPA, backend leaders earn ₹49 LPA
At the same time, Tier-2 cities like Indore, Jaipur, and Chandigarh are emerging as serious talent pools, with nearly 35–40% of skilled candidates in key roles now based outside the metros.
Based on 54,000+ candidate profiles and 14,000 recruiter conversations, the report shows backend engineers continue to top the tech pay ladder.
Backend Roles Dominate Salary Growth
Freshers with Python skills now earn up to ₹11.5 lakh per annum, among the highest entry-level salaries in product tech.
Seasoned backend professionals (10+ years) command up to ₹49.4 LPA, especially with expertise in system architecture and scalable infrastructure.
Java and Node.js developers also show steady pay growth, driven by backend-heavy product ecosystems.
Frontend, Mobile Roles See Flat or Falling Early-Career Pay
Entry-level React.js and JavaScript developers have seen a drop of up to ₹1.5 LPA, due to an oversupply of talent.
Salaries rebound only beyond 6 years of experience, with senior frontend developers earning up to ₹36.3 LPA.
Mobile developers—especially Android-focused juniors—have taken a ₹3 LPA pay cut, though iOS and React Native talent is catching up, reflecting the evolution of mobile ecosystems.
DevOps, Cloud Skills Drive Big Paychecks
DevOps remains one of the hottest functions in 2025:
Kubernetes engineers start around ₹6.2 LPA.
AWS-focused team leads can earn up to ₹35.9 LPA, thanks to the growing reliance on secure and scalable cloud infrastructure.
Tier-2 Cities Step Into the Spotlight
While Bengaluru continues to lead in overall tech hiring—particularly in backend (40%), DevOps (30%), and data science (29%)—a geographic shift is underway:
42% of backend engineers and 37% of frontend and mobile app developers are now based outside the top 5 metros.
Tier-2 and RoI (Rest of India) cities are becoming cost-effective talent hubs, offering broader access and flexibility to recruiters.
Flat Early-Career Pay, Higher Stakes for Specialization
The report confirms a plateau in early-career compensation, especially for generalist roles.
Only high-demand niche skills (e.g., full-stack expertise, cybersecurity, or AI/ML) now enable fresher salaries to grow faster.
Companies are rewarding depth over breadth, with growing preference for engineers who can deliver high-impact features, not just code volume.
Gender Gaps Persist, But Some Roles Show Promise
Gender diversity remains a significant concern in India's tech hiring landscape. The report reveals that backend and network roles continue to be heavily male-dominated, with an 85:15 male-to-female ratio. DevOps, cybersecurity, and database roles show similar disparities.
However, functions such as testing and quality assurance, data science, and certain frontend roles demonstrate relatively better inclusion, with a 70:30 male-female ratio in some pockets. Despite the industry's stated focus on DEI (Diversity, Equity & Inclusion), companies are now prioritizing deep tech capability and specialization over diversity quotas in high-demand tech roles like AI, cloud, and data engineering.
Top Skills for 2025: Java, Python, AWS, and Android
The report identifies Java, Python, and Node.js as the most preferred backend skills. Java remains a staple, showing fivefold salary growth from entry-level to senior roles. In the data science arena, Python leads with 25% candidate preference, followed by Java and machine learning.
For DevOps, AWS and Jenkins dominate in terms of compensation and popularity. Monitoring and CI/CD skills are seeing high adoption, with cost-optimization becoming a key hiring criterion.
Mobile development continues to favor Android, though iOS and React Native are slowly gaining ground. Android holds 52% candidate preference, but the share has dropped slightly, indicating diversification in the mobile development stack.
Testing and QA roles see Selenium as the preferred specialization, while in networks, CCNA and network security command the most attention. In IT security, information security and app security are ahead of cloud security, though the latter still holds strategic importance in multi-cloud deployments.
Where the Talent Lives: Hottest Locations by Function
Bangalore accounts for the highest share of experienced tech professionals across backend, DevOps, and data science. Hyderabad is a close second for backend and cybersecurity, while Pune is making inroads in testing, QA, and database management.
RoI dominates early-career talent distribution in nearly every function. For example:
42% of backend talent is based in RoI.
37% of frontend and mobile app talent is in RoI.
35% of data science, IT security, and network professionals are also located outside the top metros.
As Sarbojit Mallick, Co-founder of Instahyre, noted, 'The future of hiring lies in identifying deep tech talent early, investing in skill development, and being agile in workforce planning. Those who upskill and adapt will lead the pack.'
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Economic Times
11 hours ago
- Economic Times
Nvidia CEO Jensen Huang calls AI the ‘greatest equalizer of our time', predicts it will create more millionaires than the internet
Synopsis Nvidia's CEO, Jensen Huang, predicts AI will create more millionaires in the next five years than the internet did in twenty, democratizing wealth creation by making everyone a programmer, artist, and author. He envisions companies operating both physical and digital factories, with small AI teams generating billions in value. Reuters Nvidia's CEO, Jensen Huang, predicts AI will create more millionaires in the next five years than the internet did in twenty, democratizing wealth creation by making everyone a programmer, artist, and author. He envisions companies operating both physical and digital factories, with small AI teams generating billions in value. Nvidia CEO Jensen Huang is no stranger to making bold claims, but his latest prediction might just redefine how we view the next era of innovation. Speaking on the All-In podcast hosted by venture capitalist Chamath Palihapitiya, Huang forecasted that 'AI will create more millionaires in five years than the internet did in 20.' In an era where AI is evolving faster than policy and public understanding can keep pace, Huang's perspective offers both a reality check and a roadmap for those hoping to ride the next tech wave. The takeaway? The AI revolution is already here, and those who don't adapt may be left behind. When asked why he calls AI the 'greatest technology equaliser,' Huang responded with a transformative view: 'Everybody is a programmer now.' According to the Nvidia CEO, the traditional gatekeeping of coding languages like C++ or Python has faded. With AI interfaces, people now only need to express an idea in natural language to create something powerful. 'Everybody is an artist now; everybody is an author now,' Huang said, explaining that AI bridges the gap between imagination and execution. The CEO believes this accessibility will democratize wealth creation, empower creatives, and allow smaller teams to deliver enterprise-level impact. Huang believes that in the near future, every company will operate two factories—one physical and one digital. 'Tesla builds cars in one factory, and in another, it builds the AI that powers them,' he explained. This model, he claims, will soon apply to every major industrial business, not just tech startups. And the scale? Staggering. Nvidia plans to produce about $500 billion worth of AI supercomputers in Arizona and Texas over the next four years. These machines are expected to drive trillions in economic value across industries. In a conversation during the Hill and Valley Forum, Huang revealed the financial impact of compact, focused AI teams. Citing examples like OpenAI and China's DeepSeek—each initially staffed with about 150 researchers—Huang estimated these teams can produce value worth $20 to $30 billion, or roughly $200 million per person. 'No industry in history has ever had this kind of leverage,' he asserted, underlining how mid-sized teams, when backed with the right resources, can transform markets at lightning speed. In fact, Huang noted, 'I've created more billionaires on my management team than any CEO in the world. They're doing just fine.' In an unexpected insight into Nvidia's internal culture, Huang also shared his hands-on approach to employee compensation. He confirmed that he personally reviews every proposed salary and stock grant at the company—yes, all 42,000 employees—and uses machine learning to sort through recommendations. '100% of the time, I increase the company's spend on OpEx,' Huang said, 'because you take care of people, and everything else takes care of itself.' And yes, he jokingly added, he does 'carry stock options in his pocket.' Huang issued a word of caution for professionals stuck in old ways. 'Anybody who is not using AI is going to lose their jobs to someone with knowledge of AI,' he said. This wasn't framed as a threat, but rather a reflection of the new baseline in skill development. For those who've long felt tech was inaccessible, AI may offer an unexpected second chance to get ahead. 'The barrier between idea and execution has collapsed,' Huang declared.
Hans India
12 hours ago
- Hans India
AI Will Mint More Millionaires in 5 Years Than Internet Did in 20: Nvidia's Jensen Huang
Nvidia CEO Jensen Huang has made a bold prediction: artificial intelligence (AI) will create more millionaires in the next five years than the internet did over the past two decades. Speaking on the All In podcast hosted by venture capitalist Chamath Palihapitiya, Huang joined fellow industry leaders Chase Lochmiller and James Latinsky to discuss the seismic impact AI is set to have on the global economy. Leading a trillion-dollar company at the center of the AI revolution, Huang is in a unique position to understand the technological roadmaps of some of the biggest players in the space. He's privy to early developments at companies led by the likes of Mark Zuckerberg, Elon Musk, and Sam Altman—insider insight that fuels his confident projections. On the issue of AI and job displacement, Huang offered a perspective that counters the typical narrative of machines replacing humans. 'AI in my case is creating jobs; it causes people to create things that other people would like to buy. It drives more growth, more jobs, and all that goes together. AI is the greatest technology equaliser of all time,' he said. His optimism is rooted in the idea that AI democratizes access to technology and creativity. According to Huang, we are at a point where anyone can be a programmer. Traditionally, programming required knowledge of languages like C++ or Python, but today, Huang believes, 'they just need to talk to AI.' The barrier between having an idea and executing it has collapsed, he noted. 'Everybody is an artist now; everybody is an author now,' Huang emphasized, highlighting the merging of creative and technical roles in the AI era. However, he also issued a cautionary note: 'Anybody who is not using AI is going to lose their jobs to someone with knowledge of AI.' Taking his vision further, Huang suggested that the future of every company will include two distinct operational arms—one for the physical product, and the other for the AI systems that power it. 'Tesla, for example, has separate factories for cars and for AI. This will become the norm for every industrial company, not just tech,' he said. On the infrastructure front, Nvidia is preparing to manufacture AI supercomputers worth nearly half a trillion dollars over the next four years in Arizona and Texas. Huang believes this foundational tech will catalyze trillions of dollars in AI-driven industry value. He also pointed to the immense productivity of small AI research teams. Highlighting the example of DeepSeek or OpenAI, he noted that '150 researchers can create $20 to $30 billion in value—that's nearly $200 million per person.' 'No industry in history has ever had this kind of leverage,' Huang concluded, underscoring the unparalleled economic impact AI is poised to deliver.
Indian Express
a day ago
- Indian Express
Nvidia CEO Jensen Huang says AI will create more millionaires in 5 years than the Internet did in 20
Nvidia CEO Jensen Huang believes that AI will create more millionaires in five years than the internet did in 20 years. The CEO was part of the recent All In podcast hosted by American venture capitalist Chamath Palihapitiya. He was joined by other luminaries like Chase Lochmiller, and James Latinsky. Huang is steering a trillion-dollar company that is backing the AI revolution. Owing to his company's involvement with AI, the CEO is seemingly aware of the roadmaps followed by major AI companies. In essence, Huang is privy to what Mark Zuckerberg, Elon Musk, or Sam Altman is building much before any of it is public. Insider intelligence is Huang's major source of influence. In the same talk, Huang also shared his unique perspective on AI and job displacements. The CEO seems unperturbed by claims of AI taking over jobs; however, he is worried that we are not moving fast enough to create jobs. 'AI in my case is creating jobs; it causes people to create things that other people would like to buy. It drives more growth, more jobs, and all that goes together. AI is the greatest technology equaliser of all time,' said Huang. When asked why he thinks AI is a 'great equaliser,' Huang said that everybody is now a programmer. According to him, programmers are required to know languages like C++, Python, etc., but now they just need to talk to AI. Huang believes that the barrier between ideas and execution has collapsed. He feels that every creative is becoming technical and every technical is becoming more creative. 'Everybody is an artist now; everybody is an author now.' He said that one thing is certain: anybody who is not using AI is going to lose their jobs to someone with knowledge of AI. Further into the conversation, Huang predicted that going forward, every company will have two factories—one for their actual product, another for the AI that powers it. He cited the example of Tesla, which has separate setups for building cars and building AI that powers them. Huang said that this will not be limited to tech companies, but every industrial company will become an AI company. When it comes to infrastructure, the CEO said that in Arizona and Texas, his company will produce about half a trillion dollars worth of AI supercomputers in the next four years. And this infrastructure will drive a few trillion in AI industry value. The CEO revealed that 150 AI researchers at DeepSeek or OpenAI can create value worth about $20 to $30 billion. According to Huang, that is about $200 million per person in value creation. The CEO, while lauding small teams with massive impact, said that no industry in history has ever had this kind of leverage.
