India Tech Hiring Report (2026)
India Tech Hiring Report (2026): original data from knok's index of live Indian tech jobs - hiring by role and city, top employers, and what it means for job
See which of these jobs match your resume →Hiring Overview
the company hires Professionals across India for high-ownership roles. Competition is strong, expect 200-500+ applicants per public posting. Referrals and tailored applications significantly improve screen rates.
Interview Process
Typical loop:
1. Recruiter screen (30 min), background, motivation, compensation ballpark
2. Hiring manager (45-60 min), depth on recent work, team fit
3. Technical / product round, case study or system design
4. Bar-raiser or cross-functional panel
5. HR / offer discussion
Timeline: 2-4 weeks from first call to offer.
What They Look For
the company emphasises candidates who demonstrate craft, speed, and user impact. Show how you've scaled solutions, handled ambiguity, and collaborated under pressure. Culture interviews probe for humility, clarity, and bias for action.
How To Prepare
- Study the company's recent product launches and earnings/investor updates.
- Prepare 2 ideas to improve their core product for Indian users.
- Line up referral from current employee if possible.
- Practise concise STAR stories aligned to their leadership principles.
Culture And Values
Research employee reviews on AmbitionBox and LinkedIn, but weigh recent entries. Ask interviewers: 'What differentiated the last person who got promoted in this role?'
Key Findings
As of 8 July 2026, the knok jobradar index points to the following patterns across Indian tech hiring.
- AI and machine learning engineering roles are the fastest-moving category in the index. Postings attract applicants within hours and frequently close within days of going live.
- Bengaluru accounts for the single largest share of senior tech listings. Hyderabad and Pune follow, while Kochi and Coimbatore are showing steady growth in IT services roles.
- Remote-friendly openings remain a meaningful portion of total tech listings, concentrated in SaaS, cloud, and IT services companies. Most require candidates already based in India.
- Demand for candidates who can pair AI tool fluency with a core domain skill (data, backend, DevOps) is publicly reported as rising sharply compared to 2024 and 2025.
- Early-stage startup hiring is up relative to 2024, according to industry surveys tracking Indian venture-backed companies. Growth is concentrated in fintech, deeptech, and B2B SaaS.
- Contract and project-based roles are a growing slice of tech postings, especially in data engineering, QA automation, and cloud infrastructure.
Methodology
This report draws from the knok jobradar snapshot dated 8 July 2026. knok scans 150+ Indian and global job boards nightly, indexes postings by role, location, and employer, and surfaces patterns for job seekers. The snapshot covers live and recently closed listings across full-time, contract, and remote categories.
Because the snapshot is a point-in-time read, role counts and employer rankings shift daily. Salary ranges referenced in this report come from publicly reported sources (Glassdoor, levels.fyi, and industry surveys) rather than from the knok index itself. Where specific numbers are not available from the index, this report says so clearly.
Sample size note: the knok index is an aggregated feed, not a statistically sampled survey. Treat role demand signals as directional rather than precise.
By Role
Role-level demand signals from the knok jobradar index (snapshot: 8 July 2026). Demand level reflects how quickly postings attract applicants and how many active listings appeared in the index window.
| Role | Demand signal | Common stack asks |
|---|---|---|
| AI / ML Engineer | Very high | Python, PyTorch, LLM fine-tuning, MLflow |
| Data Engineer | High | Spark, dbt, Airflow, AWS or GCP |
| Backend Engineer | High | Java, Go, Python, microservices |
| Full-Stack / Frontend | Moderate | React, Next.js, Node.js |
| DevOps / SRE | Moderate | Kubernetes, Terraform, AWS, CI/CD |
| Product Manager | Moderate | B2B SaaS and fintech skew |
| QA / SDET | Lower | Selenium, Playwright, automation-first |
| Cybersecurity Analyst | Growing | Cloud security, SOC, compliance |
Salary ranges for these roles are commonly cited on Glassdoor and levels.fyi. Actual offers vary considerably by company size, years of experience, and city.
By City
City-level hiring patterns from the knok jobradar index. The table reflects the type and depth of tech listings observed per metro as of 8 July 2026.
| City | Hub character | Dominant sectors in listings |
|---|---|---|
| Bengaluru | Largest, deepest tech market | Product companies, SaaS, AI startups, MNCs |
| Hyderabad | Tier-1 MNC and services hub | IT services, BFSI tech, pharma tech |
| Pune | Engineering-heavy, steady | Automotive tech, IT services, fintech |
| Chennai | Consistent, services-led | IT services, hardware, fintech |
| Mumbai | Finance and media tech | BFSI, media streaming, consulting |
| Delhi NCR | Startup and enterprise mix | Edtech, logistics tech, IT services |
| Kochi / Coimbatore | Emerging, lower cost base | IT services, product startups |
Candidates targeting senior or niche roles will find the widest selection in Bengaluru and Hyderabad. Pune and Chennai offer strong mid-level pipelines with somewhat less competition per opening. Tier-2 cities are worth watching for IT services and back-office tech roles if cost of living matters to you.
Top Employers
Employers with consistent tech hiring visibility in the knok jobradar index. This snapshot does not include a ranked count per employer. The companies below are publicly reported as large-scale or fast-growing tech hirers in India as of 2026.
| Employer | Sector | What they hire for |
|---|---|---|
| TCS | IT services | Lateral and campus tech hiring at scale |
| Infosys | IT services | Cloud, AI, digital transformation roles |
| Wipro | IT services | Lateral hiring across cloud and data verticals |
| Accenture India | Consulting / tech | AI, cloud, cybersecurity expansion (publicly reported) |
| Amazon India | E-commerce / cloud | AWS, tech ops, software engineering |
| Microsoft India | Cloud / software | Azure, product, and research engineering |
| Google India | Search / cloud | Software engineering and AI research |
| Flipkart | E-commerce | Backend, data, platform engineering |
| PhonePe | Fintech | Engineering growth publicly reported |
| Razorpay | Fintech | Product and engineering at startup scale |
Hiring velocity at large IT services firms can shift sharply between quarters based on client demand cycles. Check current openings directly in the knok index for the latest picture rather than relying on this snapshot alone.
What It Means
What this snapshot means for your job search, honestly stated.
The knok jobradar index is a directional signal, not a guarantee. Job counts shift daily, and a 'very high demand' signal for AI roles does not mean every AI candidate will land an offer quickly. Competition in those categories is also high, and many applicants are targeting the same postings.
A few things the data does suggest for right now. First, skilling up in AI-adjacent areas (prompt engineering, ML pipelines, AI-powered product features) appears to widen your pool of relevant roles regardless of your core function. Second, Bengaluru listings are the most numerous, but if cost of living or relocation is a constraint, Pune and Hyderabad offer credible alternatives with broad hiring activity. Third, the growth in contract roles means a short-term engagement can serve as a practical entry point into a company or sector you are targeting.
On salaries: benchmarking is best done with real offers in hand. Ranges commonly cited on Glassdoor and levels.fyi for similar roles give a starting reference, but they reflect a wide mix of company sizes and experience levels. Use them as a floor for negotiation, not a promise.
Honest limitation: the knok snapshot captures what is posted publicly, not what is filled internally or through referrals. A meaningful share of senior roles never appear on any job board. Building a referral pipeline alongside applying through job sites is consistently cited in industry surveys as the highest-return job search activity. Both matter.
knok checks 150+ job sites nightly, applies to roles that match your resume, and messages HR directly on your behalf, so your applications keep moving even when you are tied up with your current job.
Hiring stages reflect publicly listed career pages, candidate reports, and roles currently indexed at this company in knok's scan. Open-role counts are live from our job pipeline. Updated 2026-08-03.
- Company career pages and public job boards
- knok live role index
Frequently asked
How fresh is the data in this report?
The underlying knok jobradar snapshot was taken on 8 July 2026. Job postings move fast, so treat role demand signals as a directional read for mid-2026 rather than a precise daily count. For live numbers, the knok index updates nightly across 150+ job sites, so the picture you see there will always be more current than any static report.
Which tech roles have the most openings right now?
Based on the knok jobradar index, AI/ML engineering and data engineering show the strongest demand signals in mid-2026. Backend engineering remains consistently active across both product companies and IT services. QA roles are shifting toward automation-first hiring, so a purely manual testing profile faces more competition than it did two years ago.
Which city gives the best chance of landing a tech job?
Bengaluru has the highest volume of listings across seniority levels, especially for product and SaaS companies. Hyderabad is strong for MNC and IT services roles. If you are open to relocation, those two cities offer the widest top-of-funnel. Pune and Chennai are solid for mid-level roles with slightly less competition per opening compared to Bengaluru.
What salary can I expect in these roles?
Salary ranges for Indian tech roles are commonly cited on Glassdoor and levels.fyi, and they vary widely by company type, city, and years of experience. Use publicly reported ranges as a reference point, and always cross-check with real offers from people in your network. The knok index tracks job postings, not compensation data, so we do not publish specific LPA figures from our own dataset.
Is 2026 a good time to switch jobs in Indian tech?
Industry surveys and publicly reported hiring trends suggest the market is more active in 2026 than the cautious period of 2024. AI-related roles are particularly buoyant, but competition for those same roles is also higher. Switching tends to go better when you have a clear skill upgrade, a target company in mind, or a referral lined up, rather than simply responding to market optimism.
How does knok help with a job search like this?
knok scans 150+ job sites nightly and identifies openings that match your resume and preferences. It applies to those roles on your behalf and messages HR directly to flag your application. This means your search runs in the background while you focus on interview prep or your current job, rather than spending evenings manually tracking down postings and filling out the same form over and over.
Be first in line the next time they hire.
Upload your resume once. knok searches 150+ job sites every night, applies where you have a real chance, and messages HR for you, so your time goes into interviews, not application forms.