Hire Dedicated Software Development Team, Senior-Led and Accountable

The engineers you meet are the engineers who show up, and they are still there in month nine.

Most people who set out to hire dedicated developers have done it before, and something went wrong. A senior profile closed the deal and a junior arrived on the Monday. The strongest person on the account rotated off without notice. Weeks of ramp-up were billed at the same rate as the work.

None of that is a pricing problem, which is why comparing hourly rates does not prevent it. It is a question of whether a vendor sells you headcount or takes responsibility for delivery, and those look identical in a proposal and behave nothing alike by the second quarter.

Cabot assembles squads on the second model. You interview and approve every person, the engineers stay on your account rather than rotating to whoever is billing more, and architecture decisions get written down in your repository as they are made.

Backend · Frontend · Mobile · QA and automation · DevOps and cloud · Data and AI

Tell us what you need staffed

Describe the roles, the stack and the timeline. We come back with a team plan, a seniority mix and the people we would put forward, before any commercial conversation.

No obligation. Your details stay private.

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What you get when you hire dedicated developers

When you hire dedicated developers you are contracting a named group of engineers who work only on your product, inside your tools and your cadence, for the length of the engagement, rather than buying a fixed scope of work or a block of interchangeable hours.

Three arrangements get sold under similar names and they are not the same purchase. Staff augmentation, sometimes sold as IT staff augmentation services or software team augmentation, places individual engineers inside a team you already run. Your leads set the process, own the architecture and manage the work, and you are buying capacity. A dedicated software development team is a standing group with its own tech lead and quality bar, working only on your product, usually for six months or more. You are buying continuity and a team that accumulates knowledge about your system. Project outsourcing hands over a defined scope for a fixed price, and you are buying an outcome with almost no visibility into how it is produced.

The choice is simpler than the marketing makes it. If your engineering practice works and you are short of people, take augmentation. If you need a product owned end to end and your internal team cannot absorb that, take a standing squad. If the scope is genuinely fixed and will not move, project outsourcing is cheaper and you accept the loss of control. Most of the disappointment in this market comes from buying one of the three and expecting another.
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Cabot supplies the first two. Clients who hire dedicated developers from us are buying one of those arrangements deliberately, named in the contract, rather than discovering which one they bought in month three. The third rarely serves the kind of product work our clients bring, because scope that genuinely never moves is rare. All of it sits inside our product engineering practice.

Why this arrangement goes wrong so often

Six failures that show up when companies hire dedicated developers, named as failures rather than sold against. Every one is common enough that experienced buyers arrive expecting it, and none is prevented by negotiating the rate down.
quiz

Interviews well, does not deliver. This is the failure most people who hire dedicated developers name first. The technical screen goes beautifully, and the output is slow, fragile and needs rework. Screening tested the ability to answer questions under observation, which is a different skill from carrying a feature through an unfamiliar codebase.

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The profile shown is not the person who arrives. A strong CV closes the engagement and a weaker engineer starts on the Monday. It is common enough to have a name in this market, and it survives because most contracts never say who specifically is being supplied.

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People rotate off without notice. The engineer who understood your billing logic moves to an account paying more, and you learn about it from a calendar invite. After two rotations nobody on the work remembers why a decision was made.

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Ramp-up billed at the full rate. Reading the codebase, getting environment access and learning the domain are charged as productive hours. The first weeks of every engagement are paid twice, once in fees and once in the delay.

schedule

Two hours of overlap sets the pace. A question that takes four minutes in a shared room takes a day. Answers route through a coordinator who compresses the detail out of them, and the decision that comes back is a summary of a summary.

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The rate is not the cost. Turnover means re-hiring and re-ramping. Code you cannot see accumulates debt someone pays for later. Management overhead lands on your side. The number on the invoice is the smallest part of what the arrangement costs.

Hire dedicated engineers

The engineering roles you can staff through us

Six disciplines you can hire dedicated developers into, individually or as a complete squad. Each one is a working engineer with production experience rather than a resource line, and each is interviewed by you before anything is agreed. This is also the page to use when you want to hire dedicated engineering team capacity across several of these at once.

What does it cost to hire dedicated developers?

Three things move what it costs to hire dedicated developers: the seniority mix you actually need rather than the one that sounds safe, how long the engagement runs, and whether ramp-up time is billed to you. We are explicit about all three before you commit, and we do not charge you to learn your codebase.

What AI has actually changed about hiring engineers

The honest version is narrower than the pitch, and more useful. Research from the Stanford Digital Economy Lab published in 2025 and updated in August 2026 found that employment for workers aged 22 to 25 in the occupations most exposed to AI sits roughly 19 percent below where it would otherwise be, and that the mechanism is reduced hiring rather than layoffs. The work that used to be handed to the least experienced person on a team is the work most exposed. That is a real shift in what an engineer on your account is worth, and it points in one direction: toward judgment.

What has not changed is the part that carries the risk. Someone still has to decide how the system is shaped, what a change will break, which trade-off to accept and whether a release is safe. Deloitte's 2025 survey of global business services found 43 percent of organizations expected generative AI to cut costs by 40 to 60 percent, while 57 percent report achieving under 10 percent so far. The gap between those two numbers is the space every "AI will replace your outsourced hours" pitch lives in.

So the useful question to ask any vendor you might hire dedicated developers from is not whether they use AI. Everyone says yes. It is who reviews what the model produced, and whether that person is accountable for it. On our engagements a named engineer reviews every AI-assisted change before it merges and owns it exactly as if they had typed it, which is also what makes the code reviewable by your own team later.

Three rules apply to every engagement. We are model-neutral, choosing tools per task and swapping them as the field moves rather than tying your delivery to one vendor. A named engineer reviews every AI-assisted change before merge. And we do not train models on your code or your data, under any arrangement.

The stacks we staff and where AI sits in the work

Three groupings you can hire dedicated developers across, and the engineers are matched to your stack rather than to whoever happens to be unassigned. The table below sets out where AI is used across an engagement, what stays with a person, and which tools are involved.

The stacks we staff

Backend, data and cloud

Server-side services, data platforms and the infrastructure underneath them, on the cloud you already run rather than the one we prefer.

Java
Python
Node.js
PostgreSQL
AWS
Azure
Kubernetes
Terraform

Frontend and mobile

Application interfaces on the web and on device, including the design system work that keeps a growing product visually coherent.

React
TypeScript
Next.js
Swift
Kotlin
Flutter
React Native

Quality and delivery

Test automation, pipelines and production telemetry, so quality is measured continuously rather than asserted at a review.

Playwright
pytest
GitHub Actions
Terraform
Kubernetes
Grafana
OpenTelemetry

Where AI sits in the work, and where it does not

AI is used across an engagement in defined places. Every stage below has an output a person checks and a decision a person owns.
Stage
What AI does
What stays human
Tools Used
Onboarding to your codebase
What AI does
Maps an unfamiliar repository, explains how a subsystem works, and drafts the onboarding notes the next engineer will read.
What stays human
Judging which parts of the system are load-bearing and which conventions exist for a reason worth keeping.
Tools Used
Claude Code, GitHub Copilot
Build
What AI does
Drafts boilerplate, data access and repetitive transformations, and completes code against patterns already in the repository.
What stays human
Architecture, interface design, and any decision that is expensive to reverse later.
Tools Used
GitHub Copilot, Cursor
Code review
What AI does
Raises a first pass of issues: unhandled errors, missing checks, known insecure patterns, style drift.
What stays human
The merge decision. A named engineer signs off and owns the change afterward.
Tools Used
GitHub Copilot, SonarQube
Test
What AI does
Generates unit and integration cases from acceptance criteria and proposes edge cases a person may not enumerate.
What stays human
Deciding what must be tested, what risk is acceptable, and whether the suite proves anything worth proving.
Tools Used
Playwright, GitHub Copilot
Release and knowledge capture
What AI does
Drafts release notes from merged changes, groups production errors into probable root causes, and turns a merged change and its discussion into a written decision record in your repository.
What stays human
Go or no-go, the rollout plan, and deciding what was actually decided and why, which is the part that has to survive a person leaving.
Tools Used
GitHub Actions, Grafana

The four questions worth asking any mobile development partner, including us

Six dimensions, chosen because each one is a failure described by buyers who have tried to hire dedicated developers before rather than a feature that is easy to write. Every row is a mechanism you can hold us to.
Dimension
Typical company
Cabot
Who you are shown and who arrives
Typical company
A strong profile closes the engagement. Staffing is decided later, from whoever is available.
Cabot
You interview and approve every named person before the engagement starts, and those are the people who begin.
Notice before someone rotates off
Typical company
Rejection is treated as an external event, and the schedule absorbs You find out when a calendar invite changes. Continuity is not a contractual term.it.
Cabot
Engineers stay on the account. Where a change is unavoidable it comes with notice and an overlap period, not a swap.
Who pays for ramp-up
Typical company
Learning your codebase is billed at the same rate as productive work.
Cabot
Onboarding to your codebase is on us. You start paying when the engineer starts contributing.
Visibility into code quality
Typical company
Status reports. You see the output, not how it was made, until the debt surfaces.
Cabot
Repository, pipeline, test results and static analysis are open to you from week one, and the engineers are reachable directly.
Your IP and access during the work
Typical company
Ownership stated in the contract, and rarely thought about again until offboarding.
Cabot
Code and IP are yours from the first commit, work happens in your repositories and environments, and access is scoped and revocable by you.
What you keep if you leave
Typical company
A repository and whatever documentation happened to get written.
Cabot
Architecture decisions recorded as they were made, a maintained test suite, and a planned handover rather than an exit.

The teams we staff for

Three situations in which companies come to us to hire dedicated developers. What follows is what we understand about each, rather than a claim to serve them.
rocket_launch

Product companies scaling past the first team

The point where a founding team stops being able to hold everything in their heads is a specific and awkward moment. Adding people there changes the process as much as the capacity, and pretending otherwise is why the first outside hires so often fail.

Meet Our Team

Angela Parker
Project Manager
Micheal John
Technical Architect
Aika Tam
Business Analyst
Shrishti Anant
QA Engineer
Kevin George
UI UX Developer

Industries our engineers already understand

volunteer_activism

Healthcare

shopping_cart

Ecommerce

paid

Fintech

apartment

Travel and Tourism

How your code, your access and your data are handled

When you hire dedicated developers through Cabot, they work in your repositories and your environments, under access you grant and can revoke, rather than in a vendor workspace you cannot see into. Credentials are handled through a managed store rather than shared, access is scoped to what a role needs, devices used on your work are managed, and every engineer is under a signed confidentiality agreement before they see anything. Your code and your intellectual property are yours from the first commit, which was true on the previous version of this page and remains the most important sentence on it.

Regulatory obligations are scoped to your market rather than applied as a blanket. Where a product is regulated, engineers work to the evidence the product already has to produce: changes tied to approvals, tests retained per release, and decisions recorded when they are made. For healthcare that means HIPAA safeguards and a business associate agreement, and our compliance practice covers the wider ground. For consumer data it means GDPR and CCPA behavior including deletion. For enterprise buyers it means a SOC 2 aligned process that can point at evidence rather than intent.

Signed confidentiality agreements
Your repositories and environments
Scoped, revocable access
Managed secrets
Managed devices
IP yours from the first commit
Encryption in transit and at rest
HIPAA safeguards
SOC 2 aligned
GDPR and CCPA

How we get engineers onto your codebase

Six steps from first conversation to contributing code. Real timings, and the sequence is the same whether you hire dedicated developers one at a time or as a squad. The step that matters most is the third one, because it is the one that prevents the failure buyers fear most.

assignment

1. Roles and requirements

Before you hire dedicated developers we establish what the work actually needs: the stack, the seniority, the domain knowledge, and the constraints nobody writes into a job description. Usually two conversations across the first few days.

groups

2. Team plan and seniority mix

We come back with a proposed shape and are direct about where a senior engineer is necessary and where one would be wasted. You approve the plan before anyone is put forward.

how_to_reg

3. Shortlist and your interviews

Profiles within a few days, then you interview. You approve every individual, by name, and those are the people who start. Nobody is substituted afterward without your agreement.

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4. Onboarding to your codebase

Access, environments, the domain and the code, typically inside the first week. This is our time rather than yours, which is the point of listing it as a step instead of hiding it in the rate.

rocket

5. Delivery inside your cadence

Engineers work to your board, your definition of done and your release process. You see the repository, the pipeline and the test results throughout, and you talk to the engineers directly.

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6. Scale, or hand back cleanly

Adding people follows the same approval path, and scaling down happens within a day. Ending is planned rather than abrupt, with decision records, a maintained test suite and a handover to whoever picks the work up.

Who you actually get

Companies hire dedicated developers to get people, so this is the section that matters most. Every engagement has a tech lead who owns the architecture and the merge decisions and is answerable for what ships, engineers who own their work from build through release rather than passing it to an integration group, and a delivery lead who owns the cadence and your visibility into it. On a standing squad a QA lead owns the automated suite and what it proves. You always know which person owns a decision, and you can reach them without going through an account manager.

Our depth is in four specific places. Building inside regulated products where a change carries an approval record. Joining codebases that arrived with little documentation and less test coverage. Test automation built from close to nothing. And running a squad alongside an internal team without the two quietly merging into one bottleneck. We do not claim equal depth everywhere, and we will say when a specialist fits better than we do.

Whether a squad works nearshore or offshore, we commit to a written overlap window with your team rather than leaving it to chance, and decisions that need you are batched into it so a day is not spent waiting on a reply. Architecture decisions are recorded in your repository as they are made, which is the mechanism that stops a rotation from costing you weeks. If you need a delivery model rather than people, that is a different engagement and it is described on our agile software development services page.

Why technology leaders choose Cabot for senior-led engineering teams

Six reasons buyers give when they explain why they moved their engineering capacity to us, and each one is a mechanism rather than a promise.
Together they answer the only question worth asking before you hire dedicated developers anywhere, and each one is a mechanism rather than a promise.

Where to go next, depending on what you are missing

Choosing to hire dedicated developers is one answer. These are the other three, and which you need depends on what is actually short.

Our Clients

Questions buyers ask before signing
How much does it cost to hire dedicated developers?

Cost is driven by the seniority mix, the length of the engagement and whether ramp-up time is billed, rather than by a single headline rate. A team weighted toward senior engineers on a long engagement behaves very differently on cost from a mixed squad on a short one, so any number quoted before the roles are defined is a guess. You can model a range with our cost calculator, and we scope it properly against your roles before anything is committed.

How long does it take to get engineers working on our codebase?

Typically three to five weeks from the first conversation to contributing code when you hire dedicated developers through us. Roles and requirements take a few days, the team plan a few more, profiles reach you within days of that, and then the timing is mostly yours because you interview. Onboarding to your codebase adds about a week and is our time rather than billed hours.

What is the difference between staff augmentation and a dedicated development team?

Staff augmentation places individual engineers inside a team you already run, so your leads own the process and the architecture and you are buying capacity. A dedicated software development team is a standing group with its own tech lead and quality bar working only on your product, usually for six months or more, so you are buying continuity and accumulated knowledge of your system. Pick augmentation when your practice works and you are short of people, and a standing squad when a product needs owning end to end.

How do you vet engineers, and do we interview them ourselves?

Yes, you interview them, and you approve every individual by name before the engagement starts. That approval step is the whole point of the way we let clients hire dedicated developers. Our own screening covers the stack, general engineering fundamentals rather than only language syntax, domain exposure where the work needs it, and communication, because an engineer who cannot explain a trade-off across a timezone gap will cost you more than one who codes slightly slower. The people you approve are the people who start.

What happens if an engineer is not working out?

You tell us early and we replace them. Because you approved the person at the start this is rare, and because the engagement is not tied to a fixed scope, changing the team does not require renegotiating the contract. Scaling down happens within a day and scaling up within a few days, following the same approval path as the original hire.

Who owns the code, and what do we get back if we end the engagement?

You own the code and the intellectual property from the first commit, and the work happens in your repositories and environments under access you grant and can revoke. Ending an engagement is a planned handover rather than an exit: architecture decisions were recorded in your repository as they were made, the test suite is maintained rather than abandoned, and the engineers walk your team or your next partner through the system before access is closed.

Does AI change what we should expect from an outsourced engineer?

It changes the mix rather than the need. Research from the Stanford Digital Economy Lab found entry-level employment in AI-exposed occupations sitting about 19 percent below trend, driven by reduced hiring, because the work once handed to the least experienced person is the work most exposed. What that means for you is that seniority and judgment are what is worth buying. The question to ask any vendor is who reviews AI-assisted code before it merges. On our engagements a named engineer does, and owns it afterward.

How is this different from hiring an agile delivery squad?

You are buying different things. Here you are buying engineers who work inside the practice you already run, with your leads owning the method. An agile delivery squad is a model: a team that brings its own cadence, quality bar and release process and is answerable for an outcome. Choose this page when your process works and you are short of people, and our agile software development services when delivery itself is what is failing.