Five Years, Six Times the Salary: One Woman's Switch-Driven Pay Rise
A software professional grew her pay from ₹5 LPA to nearly six times that in five years. Her lever: job switches, not appraisals — a pattern salary surveys bear out.
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An Indian software professional reports growing her salary from ₹5 lakh per annum (LPA) to nearly six times that figure in five years — and she attributes almost none of the gain to internal appraisals.
The account, published by The Times of India, centers on a woman who says repeated job switches, rather than annual raises, produced the step change in her pay. Her starting salary of ₹5 LPA is broadly consistent with entry-level engineering compensation in India's IT services sector, where fresher packages typically cluster between ₹3.5 lakh and ₹7 lakh depending on the employer and tier of institution.
Her claim lands on a well-documented fault line in the Indian labor market. HR consultancies including Aon and Mercer have repeatedly found that average annual salary increases in India have compressed from the double-digit hikes of the 2010s to roughly 9–10% in recent cycles, with top performers receiving only a few points more. A 10% appraisal on a ₹5 LPA base yields ₹50,000 in additional annual pay. A single lateral move, by contrast, frequently delivers 30–50% jumps — a multiple that compound appraisal growth cannot match in a comparable timeframe.
The arithmetic explains the behavior. If internal increments hover near 10% while external offers run 40% above current pay, an employee who switches twice in five years can plausibly out-earn a peer who stays put by a factor of two or more. That is roughly the pattern the woman describes: modest movement inside each employer, sharp movement between them.
What it means at the individual level
For early- and mid-career professionals in India, the case reframes a practical question: is the appraisal cycle the primary salary lever, or is the external market? On the evidence of this account and prevailing survey data, the external market carries more force during the first five to seven years of a career, when percentage gains on a low base matter most.
This does not make switching costless. Frequent moves can shorten tenure signals, and some employers screen candidates with three or more short stints. The woman's trajectory — five years spread across multiple employers — sits within the range most recruiters still read as acceptable, but the window narrows at senior levels, where stability commands a premium.
The strategy also depends on market conditions. The 2021–2022 hiring boom in Indian technology inflated external offers well above historical norms; since then, funding contractions and layoffs at startups and global capability centers have tightened demand, compressing the premiums switchers can command. A candidate attempting the same sequence in 2024–2025 faces a cooler market than the one that produced her result.
Caveats on the data
The account is a single self-reported case, not a survey. It carries no employer names, salary slips, or independent verification, and self-reported pay stories on social platforms skew toward outliers who did unusually well. National compensation benchmarks — Aon's annual salary increase survey, Mercer's Total Remuneration Survey, and teamlease and foundit (formerly Monster APAC & ME) indices — remain the more reliable guides to what typical switchers gain.
Still, the underlying mechanism she describes is real and measurable: external hires in India routinely enter at higher compensation than internal promotions justify, a gap employers have historically struggled to close through corrections and retention raises.
For professionals weighing a similar path, the actionable reading is narrow: track market rates for your role continuously, treat the appraisal as a floor rather than a ceiling, and time switches to periods of genuine demand in your skill set. Expect the switching premium to stay material but smaller than at the 2021 peak.
Source: Google News: Job market
More from Daniel Okafor
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News editor covering regulation, policy and their impact on Job market data and labor economics at Path & Pay.
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