How Long Does It Take to Hire a Software Engineer? It Depends.

Intro

Here is the short answer, because that is what you came for. Hiring a senior software engineer in the US takes about two to three months from the day you post the role to the day they start. The job requisition itself sits open around 62 days before you even have an accepted offer, against roughly 42 days for an average role across all industries. Engineering is one of the slowest categories to fill, and it gets slower the more senior the role.

That average is true and almost useless, because it hides the four things that actually move the number.

I have run engineering at three companies and hired developers in Russia, Latin America, and the Philippines before I built Full Scale, which is the fourth. The honest answer to “how long does it take to hire a software engineer” is that it depends on how senior the role is, what skill set you need, what country you hire in, and whether you are searching for a person from scratch or selecting one from a bench that already exists. Change any of those four and the timeline swings by months. There is also a fifth number almost nobody counts, the ramp, and it is the one that actually hits your roadmap. I will get to it right after seniority, because the two sit on top of each other.

Let me take them one at a time.

The straight numbers, by seniority

If you want a benchmark to plan against, here it is. These are time-to-fill figures, measured from the day the role is posted to an accepted offer.

• Junior engineer: roughly 20 to 30 days.
• Mid-level engineer: roughly 30 to 45 days.
• Senior or staff engineer: roughly 45 to 90 days.

Hiring a senior engineer takes more than twice as long as hiring a junior one. The 62-day figure from the intro is the blended average across all engineering roles; senior and staff roles sit at the top of that range. The senior people you want already have jobs, they often field two to four competing offers at once, and they negotiate hard once you make one. Every one of those things adds calendar time.

It also helps to separate two numbers people use interchangeably. Time to fill is measured from the day you open the req to the day someone accepts. Time to hire is measured from a candidate’s first contact to their acceptance, so it ignores the sourcing time before anyone applied. Time to fill is the honest one for planning, because the sourcing stretch is usually the longest part.

A typical senior search breaks down something like this: two to three weeks of sourcing and screening, two to three weeks of interviews, one to two weeks to get an offer accepted, and then the notice period before they actually start. Sourcing is the bottleneck almost every time. You are not slow at interviewing. You are slow at finding people worth interviewing.

The number nobody puts in the timeline: ramp

Here is the part that gets left out of every “average time to hire” article. An accepted offer is not a productive engineer.

A new senior hire takes another three to six months to get fully productive in your codebase, your domain, and your team. So the real clock, from “we need to hire” to “this person is pulling their weight,” is closer to six to nine months for a senior US role. I wrote more about why that full ramp matters in the developer shortage piece, because it is the number that actually hits your roadmap. When someone asks how long hiring takes, they usually mean “when do I get the output,” and the honest answer is much longer than the offer-acceptance date suggests.

It depends on the skill set you need

The skill set you need surprises people, and it is the factor I would check first. The stack you are hiring for swings the timeline more than almost anything else.

Common stacks are fast because the pool is deep. If you need a PHP, .NET, or JavaScript engineer, there are a lot of them, and you will fill the role on the timelines above. Move to Ruby or Ruby on Rails and it gets noticeably harder, because fewer people work in it and the ones who do are in demand. Go to something like Go, Rust, or genuine low-level systems programming and it gets very hard, very fast. Specialized skills, embedded work, niche frameworks, and anything close to the metal can take you far past the senior-role timelines, anywhere in the world.

So here is the rule I give people: default to the most common tech stacks unless you have a specific, real reason not to. The talent is easier to find, easier to replace, and easier to scale. A rare language is sometimes the right call for a real technical reason, but a surprising number of teams pick one for taste and then spend a year fighting a hiring market that barely exists. The rarer the skill, the longer everything else in this article stretches.

It depends on the country

Where you hire changes both the speed and the failure modes. Here is the honest version by market.

Market	Time to a started senior hire (hiring directly)	The catch
United States	2-3 months	Slowest for senior and rare stacks; counteroffers and bidding wars
Latin America	3-6 weeks	Great US time-zone overlap; thinner pools for rare stacks
Eastern Europe	4-8 weeks	Deep benches for complex systems; 30-60 day notices; regional risk
India	1-3 months to a reliable start	Enormous pool, but the best are taken and the start is unreliable
Philippines	3-6 weeks direct, or as little as 7 days from a pre-vetted bench	You need a partner who actually keeps a bench

A couple of those rows deserve a sentence. Latin America is the easiest offshore market to work with on US East Coast time, so the overlap is great, but the senior pool for rarer stacks is thinner than India’s or Eastern Europe’s. Eastern Europe has some of the deepest benches in the world for complex systems and platform work, with the tradeoff of longer notice periods and the regional risk that comes with the war in Ukraine.

One detail inside that table matters more than buyers expect: the notice period, and what happens during it. India runs on 60-to-90-day notices, and the problem is not the length, it is that offers renege during them. A candidate accepts, keeps interviewing for two or three months, and takes a better offer before they ever start. The Philippines norm is closer to 30 days and reneging is far less common. At Full Scale our engineers sign a contract that requires a 90-day notice if they ever leave, and we enforce it, so a client gets a long, predictable runway instead of a two-week scramble. That is separate from the client’s own right to release a developer on 30 days’ notice. One keeps the team from vanishing on you; the other keeps you from being stuck with one.

Why India is the cautionary tale

Of the markets in that table, India is the one that trips buyers up most. The trouble is not the people. It is the time to a reliable start. I want to be fair, because India genuinely wins on raw scale. If you need to staff 50, 100, or 500 engineers on a common stack in a hurry, India is the only offshore market that can do it. I learned the reliability problem the hard way at Stackify.

Indian IT runs on those 60-to-90-day notice periods, and offers fall through in a way US hiring never prepared me for. A candidate accepts, you wait out the notice period, and partway through they take a counter-offer and never show up. After a couple of rounds of that, you stop trusting the process. We worked with genuinely talented people in India, but the mechanics wore us down and we stopped trying to grow there.

The data backs up why it happens. India graduates around 1.5 million engineers a year, but only about 45% meet industry standards by its own staffing industry’s measure. The strongest engineers get absorbed by the 2,117 global capability centers that companies like Google, Microsoft, and Goldman Sachs now run in India, and those centers pay 12 to 20% more than the outsourcing firms for the same skills. Those captive centers are the Google you are competing against, and the typical vendor is hiring from whoever Google and Goldman did not take. It is trusting a middleman whose margin depends on filling the seat fast. The full breakdown is in our piece on outsourcing software development to India, and the head-to-head with the market I know best is in India versus the Philippines.

None of that means India is a bad choice. It means the headline “developers are cheap and plentiful” hides a real cost in time and reliability, and you have to plan for it.

The fastest path: select, do not search

Every timeline above assumes you are running a search. You open a role, source candidates, screen them, interview them, and wait out a notice period. That is the slow part, and it is slow everywhere.

The way to collapse the timeline is to stop searching and start selecting. When you work with a staff augmentation partner that keeps a real bench of vetted engineers, you are choosing from people who already exist instead of running a funnel to find them. That is how Full Scale can start a senior engineer with your team in as little as seven days, against the two to three months a US req takes. The engineers are already employed, already vetted, and trained on Product Driven, the engineering-ownership philosophy from my 2025 book, so they ramp faster because they think about the product instead of waiting for tickets.

The one trap to avoid is picking on rate alone. The cheapest developer is almost never the fastest or the most reliable, and chasing the lowest hourly is what I call cheapshoring. The goal is a senior engineer who starts fast and sticks around. The cheapest developer usually does neither.

How to actually reduce your time to hire

If you only change a few things, change these.

• Select from a bench instead of searching from zero. This is the single biggest lever, and it is the difference between weeks and months.
• Default to a common stack unless a rare one earns its keep. You cannot out-recruit a market that does not exist.
• Run your interview loop in parallel, not in series, and decide fast. Senior candidates have other offers and the slow process loses them.
• Pick a market on reliability, not just rate. A start you can count on beats a cheaper one that may never show up.
• Count the ramp. Plan for time-to-productive so your roadmap is honest about when output actually shows up.

Ready to skip the search?

If your roadmap cannot wait two to three months for a US hire and another six for them to ramp, the fastest honest path is to select a senior engineer from a bench that already exists. Book a call and we will talk about building your team.