The Real Cost of a Senior Backend Developer — Full-Time vs Contractor vs Async Remote

The offer letter number is the smallest part of what a backend hire actually costs.

Here's what the full comparison looks like across three models.

The number that feels like the decision

When a founder is evaluating how to get backend work done, the number that usually anchors the conversation is the salary. It's concrete, it's comparable, and it shows up on every budget model.

It's also the least complete way to think about what each option actually costs.

The real cost of getting backend work done includes the time before the work starts, the overhead while it's happening, and the commitment that continues after the specific need is met. Across the three main models — full-time hire, local contractor, and async remote contractor — those dimensions look very different.

Full-time: the cost that starts before day one

The search is the first cost that doesn't show up in the salary line.

A senior backend search at a startup typically runs two to five months depending on the market. Recruiter fees, if you use one, add 15 to 25 percent of first-year salary. Internal time spent on sourcing, screening, and interviewing is real engineering and founder time that isn't going toward anything else.

Once the hire starts, there's onboarding time before independent productivity. For a senior backend engineer joining a new codebase, four to eight weeks before they're producing reviewed, merged work at pace is a reasonable estimate. During that period you're paying full salary for partial output.

Then the ongoing commitment: salary, benefits, payroll taxes, employer contributions where applicable, equipment, software licenses, the administrative overhead of employment. And if the role doesn't work out — through performance, through company direction changing, through the engineer finding a better offer — there's the cost of separation and restarting the search.

Full-time makes sense when the work genuinely requires long-term embedded presence. For that category of work, the cost is justified. For discrete projects with a finish line, you're paying a permanent commitment for a temporary need.

Local contractor: the model that sounds flexible and sometimes isn't

A local contractor on a time-and-materials basis solves the search timeline problem somewhat — experienced contractors are often available faster than a full-time hire can be sourced.

But local contracting introduces its own costs that are less visible upfront.

Hourly rates for experienced local contractors are typically higher than the hourly equivalent of a full-time salary, because the contractor is pricing in their own overhead — taxes, benefits gap, periods between engagements. A senior backend contractor billing at market rates will often cost more per hour than the same engineer would cost as a full-time employee.

The synchronous expectations of local contracting add overhead too. If the contractor is working on-site or expected to participate in standups and real-time collaboration, you're paying for availability alongside output. Managing a contractor like an employee — with daily check-ins, regular status updates, continuous availability — is expensive and doesn't leverage what makes the model useful.

Local contracting works well when the work genuinely requires real-time collaboration and the project is short enough that the hourly premium doesn't compound into a full-time hire equivalent. It's often the right call for crisis situations or specialized work that needs someone physically present. For standard backend development work, it's frequently more expensive than founders realize when they're comparing it to a full-time offer.

Async remote: the cost structure that matches discrete work

Async remote contracting, when it's structured well, has a cost profile that's distinct from the other two models in ways that aren't always obvious.

The search time compresses significantly. Scoping a well-specified project and engaging a contractor who can work against it takes days rather than months.

There's no onboarding lag in the traditional sense — a contractor working from a clear spec doesn't need to absorb the social and cultural context of being a new employee. They need the technical documentation to be good. If it is, they start producing reviewable output quickly.

The rate is scoped to the project. When the feature ships, the engagement ends. There's no ongoing salary commitment, no employer tax overhead, no benefits administration. The cost is bounded by the scope of the work.

The tradeoff is documentation investment. Async remote contracting requires that the work be specified clearly before it starts — system context written down, API contracts defined, done described precisely. That investment is real, and it's upfront. Teams that haven't built that discipline spend time on it early in the first engagement. Teams that have built it find subsequent projects move faster because the infrastructure already exists.

The comparison that founders usually miss

The comparison most founders make is: full-time salary versus contractor day rate. That comparison almost always makes full-time look cheaper.

The comparison worth making is: total cost to get a specific project shipped through each model, including search time, onboarding lag, ongoing commitment, and management overhead.

When you run that comparison for discrete backend work with a defined scope, async remote contracting frequently wins — not on hourly rate, but on total cost to outcome.

For work that requires long-term embedded presence, full-time wins. The models aren't in competition for the same category of work — they're right for different things. The mistake is applying one model uniformly to all backend needs regardless of what those needs actually are.

Where this leaves you

The honest starting point is categorizing your current backend backlog.

What on it requires someone who will own it long-term? What on it has a clear scope and a finish line? The first category points toward full-time hiring. The second points toward contracting. Getting that distinction right before deciding which model to use is the most useful thing you can do for your engineering budget.

If most of what's sitting on your backend roadmap right now has a finish line, the form at /contact covers the next practical question: whether your team's documentation and process infrastructure is set up for async contracting to actually work.