Software engineer is the most common role we see in Indian financial services technology, and it is the one people are most confident they already know how to price. That confidence is usually misplaced. A single median for a role that runs from a two-year full-stack developer to an engineer who has kept a payments ledger correct under regulatory scrutiny tells you almost nothing you can put in an offer. This guide is about what the number actually is, what sits underneath it, and how to use it without getting hurt.
The figures here come from our own pipeline: 541 software engineers working in or adjacent to Indian financial services and fintech, whose current compensation we hold. They are current salaries, what these people are paid today in the jobs they hold now, not offers made to move them and not the number they were eventually placed at. Everything is rounded. For the full method, the sample, and the caveats we are compressing here, the compensation pillar is the place to go.
What a software engineer actually does in a regulated firm
The job title travels across industries. The job does not. An engineer building a checkout flow for an e-commerce firm and an engineer building a disbursement flow for a lender are writing code in the same languages and reviewing pull requests the same way, but the constraints they work inside are not the same, and the constraints are where the value is.
In a bank, an NBFC, or a regulated fintech, an engineer is building systems where a mistake is not a bug to be patched in the next sprint. A reconciliation break cannot simply be corrected in the database and forgotten. An audit trail is not a nice-to-have that gets deprioritised, it is a thing a regulator can ask about three years later, and the system has to be able to answer. Data that touches a customer's account carries retention, access, and reporting rules that shape the design before the first line is written. The engineer who has internalised this writes different code: more defensive, more traceable, harder to embarrass.
None of that shows up on a CV as a skill. It shows up as time served inside a regulated environment, and it is the single largest reason two engineers with identical stacks are not interchangeable hires. The domain does not make the technology harder. It makes the cost of getting it wrong higher, and it shortens the gap between a hire joining and a hire being trusted with something that matters. That is what firms pay for when they insist on sector experience, whether or not they can articulate it that way.
What software engineers are currently paid
Across the 541 engineers in this pool, current pay sits at a median of about 10 lakh, with the middle half of the market running from roughly 7 lakh to 15.5 lakh. Median experience is four years.
Read that median on its own and you will misprice every hire that is not exactly four years in. The headline number is a description of the centre of a wide population, not a rate for a role, and the width is the important part. An engineer at the bottom of that middle half and an engineer at the top are separated by more than seven lakh, and the thing that most reliably explains the distance between them is experience.
Which brings us to the caveat that has to travel with any software engineering median. Pay does not rise smoothly with experience. Across the wider technology market it roughly doubles at the eight-to-twelve-year band, a step change rather than an increment. That is the point at which an engineer stops executing a defined piece of work and starts being trusted to decide what the work should be, and firms pay a different order of money for that judgment. So a median quoted without an experience band attached is not a benchmark, it is a coin toss. Ten lakh describes the four-year engineer well and the ten-year engineer not at all.
Two other numbers put this in context. The overall market median across all technology roles in Indian financial services is about 12 lakh, so software engineering sits a little below the middle of the stack, as you would expect of the largest and most junior-weighted pool. More pointedly, a data engineer sits at almost exactly the same current median, about 10 lakh, despite the habit many firms have of budgeting data engineering as the cheaper adjacent skill. It is not cheaper, and pricing it as though it were is a common reason those roles stay open. The data scientist guide shows the other end of that spread, where scarcity pushes pay well above tenure.
The gap between what they earn and what they ask
Current pay tells you where the market holds these engineers. It does not tell you what it will cost to move one, and the distance between the two is the most operationally useful thing in this dataset.
The same 541 engineers, asked what they want, come in at an expected median of about 16 lakh against their current 10. A typical engineer is asking for roughly half again what they earn now in order to move. That is not a rate. It is an opening position, stated to a recruiter, in a context that does not encourage understatement, and it is not what people accept. But it is the anchor the candidate walks in carrying, and an offer built without knowing it tends to fail.
Here is how that failure looks in practice. You have an engineer with four years of experience currently on 10 lakh. Your internal band says the role pays 12, so you construct a careful offer at 12, a reasonable twenty per cent rise. The person across the table arrived expecting sixteen. You are not slightly apart, you are a third of the way into a conversation the other party thought started somewhere else, and the offer will be recorded as declined on price when it was really declined on diligence. Nobody asked the expectation early enough. This is why we push clients to find out the number before the offer is built, and it is the largest single lever in talent acquisition that costs nothing to pull.
How a hiring team should use this
Start by attaching an experience band to any figure before you let it into a conversation. The ten lakh median is a fact about a four-year engineer. If you are hiring at seven or eight years you are approaching the steepest part of the curve, and a band budgeted from the headline number will be wrong by a wide margin, always on the low side.
Present a range, never a point, because the first single number spoken becomes the anchor everything else is measured against. The middle half of the market, seven to 15.5 lakh, is more honest about where engineers sit than the median inside it. Then look at the shape of your pool: this one is most commonly full-stack, most commonly holds a bachelor's in engineering, and is most heavily represented in Mumbai, where the sample is thickest and the numbers most reliable. If your requisition sits away from that centre, in a niche stack or a thin city, treat this as a starting point rather than lean on it.
And weigh the domain deliberately rather than by reflex. If the system genuinely carries regulatory weight, pay for the engineer who has lived inside that constraint, because the cost of the alternative is a rebuild. If it does not, you are competing in the far larger generalist market and can price accordingly. The mistake is paying the domain premium without needing it, or refusing it on a role where it is the whole point. Our guide to technology hiring in financial services covers the sourcing and assessment side of the same problem.
What this data does not carry is worth stating plainly. It does not split fixed pay from variable, which in financial services can be a large distinction and is worth asking of every candidate individually. It contains no equity, a real gap for fintech offers, and no joining-bonus or notice-buyout figures, common in a tight market but simply absent here. Within those limits, this is a more current and more specific picture of what a software engineer in Indian financial services is paid than an averaged survey can give you. Priced against the experience band and the expectation, it is enough to build an offer that closes.