Services
Forward Deployed Engineering
FDE working

FORWARD DEPLOYED ENGINEERING

Engineers who own the problem, not just the ticket

Some engineering problems don't come with a clean spec. The requirements are still changing. The systems are unfamiliar. The data is messy. Stakeholders need to see something working before they know what they actually want. That's where Forward Deployed Engineering fits.

Our engineers work directly inside your environment, close to your systems, your users, and your business. They bring the technical range and judgment to turn an ambiguous problem into working software, without waiting for every decision to be made first.

✔️ AWS Partner ✔️ GitHub Partner ✔️ Atlassian Partner

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WHEN FDE MAKES SENSE

When you need someone who can decide, not just execute

Sometimes the blocker isn't headcount, it's that nobody close enough to the code is also close enough to the business problem to make the next call without a meeting. Forward Deployed Engineering puts one engineer in that gap: technical enough to build it, business-literate enough to scope it, and trusted enough to decide most things on the spot.


Requirements are incomplete or changing

You have a business objective, but the requirements are still evolving. A Forward Deployed Engineer can turn an initial brief into a workable first increment, validate it with stakeholders, and adapt the implementation as requirements become clearer.

The solution spans multiple systems

The work crosses applications, APIs, data platforms, cloud infrastructure, or legacy systems. An FDE can work across those boundaries, understand how the pieces interact, and avoid unnecessary handoffs between specialists.

Technical decisions need to happen close to the business

The engineering team needs to make decisions while the problem is being defined. An FDE works directly with product and business stakeholders, translates requirements into technical decisions, and escalates the decisions that require broader input.

The path from prototype to production is unclear

A proof of concept needs to be tested against real data, users, security requirements, and operational constraints before you commit to production. An FDE can take an idea from initial validation through production engineering when the solution proves viable.

THE FDE APPROACH

What a Forward Deployed Engineer brings

Engineering depth

They build. They debug. They integrate. They work across frontend, backend, data, cloud, and infrastructure when the problem requires it.

Product judgment

They don't wait for a perfect requirements document. They turn business goals into a sensible first increment and use what they learn to shape what comes next.

Fast context switching

They can enter a new codebase, cloud environment, data platform, or legacy system and become productive quickly.

Independent ownership

They know which decisions they can make themselves, which ones need input, and when to escalate. Your team gets progress, not another layer of coordination.

Direct collaboration

They work with engineers, product leaders, users, and business stakeholders throughout the engagement. The person solving the problem stays close to the people who own it.

HOW WE WORK

From ambiguity to something real

A Forward Deployed engagement adapts to the problem, but the discipline stays the same: understand deeply, build against the real thing, and be explicit about whether you're proving an idea or shipping it.

01 — Understand

Learn the business goal, the technical environment, the users, and the real constraints including the ones nobody wrote down. Confirm early whether this engagement is proving feasibility or building the production system, because that decision changes everything downstream.

02 — Build

Scope a first working increment without waiting for a finished spec, and build it directly in your environment against your systems, your data, your constraints. Decide most things in the room; escalate only what genuinely needs to go up or across.

03 — Validate

Test against real users, real workflows, real data, and real operational requirements. Not a clean synthetic dataset in a controlled sandbox. This is where prototype-grade assumptions get exposed before they become production liabilities.


04 — Deploy & transfer

Move the solution into production discipline (testing, observability, security review, ownership) and transfer the context and reasoning behind it to your team, not just the code.

Have a complex problem to solve? Let's figure out where to start.

Whether you're working from an early idea, trying to unblock a stalled initiative, or dealing with a problem that crosses systems and teams, we'll help you understand what needs to happen next and put the right engineering expertise around it.

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MODUS CREATE EXPERTISE

The expertise behind the way we work

Our Forward Deployed Engineers bring broad technical experience to every engagement. They can work across product engineering, cloud, data, AI, DevSecOps, systems integration, and more.

That range helps them move through complex problems without getting blocked by technical boundaries. And when deeper expertise is needed, they can draw on specialists across Modus Create.

WHY MODUS CREATE

Deep engineering expertise for complex environments

Modus Create has been building software for Fortune 500 and Global 2000 organizations since 2011. We're an AWS, GitHub, and Atlassian partner with engineering expertise across complex environments.

Modites

Built for complex, regulated environments

We work across regulated and technically complex industries, including life sciences, financial services, retail, and automotive. Our engineers adapt engineering practices to the environment, from security and compliance to audit and operational requirements.

Partner-level expertise

Our partnerships with AWS, GitHub, and Atlassian reflect deep expertise across the platforms many complex engineering teams rely on. Our engineers can bring that expertise directly into the work, from cloud and DevSecOps to developer platforms and enterprise tooling.

From prototype to production

Our engineers know how to move from a working idea to production software. We can optimize for speed and learning early on, then apply the engineering discipline needed to make the solution secure, scalable, and maintainable.

Projects completed
Years of experience
Open source contributions and counting

LET'S GET STARTED

Talk to Modus Create

Big challenges need bold partners. Let’s talk about where you want to go — and start building the path to get there.

"A lot of startups would benefit from the experience Modus Create brought to the table. It has set a very solid foundation on which we can grow now."

Thomas
Thomas Hufener
CEO at Kaiko

"From a business value point of view, the AVP ensures cost savings of about 30%, and the time to market has been reduced from weeks to hours."

Lorenz Schweiger
Head of Business Development and Strategy for AVP at Audi

"Modus Create understood our challenges and was committed to provide a solution that met our goals."

Sapna
Sapna Aggarwal
PMO, Business Process Specialist at Sephora

"Modus Create was an amazing partner for our GitHub migration to the GitHub cloud. We needed someone that could come in with expertise and show us the way, not just supplement our capacity."

Mark Quigley
Global Leader for Engineering Effectiveness at Wayfair

Frequently asked questions

What is Forward Deployed Engineering?

Forward Deployed Engineering is an approach where an engineer works directly inside a customer's environment — with the customer's own systems, data, and users — to scope, build, and ship software against a real problem, rather than a pre-packaged requirement. The same engineer typically stays involved from initial discovery through build, validation, and either production deployment or a clean handoff to a build team, depending on the engagement.

What does a Forward Deployed Engineer do?

A Forward Deployed Engineer combines three things that are usually split across different roles: hands-on, full-stack engineering; the product and systems judgment to translate an ambiguous business need into a technical plan without a finished spec; and direct, continuous ownership of the client relationship, including the calls that have to be made in the room. They build working software — sometimes a prototype meant to validate an approach, sometimes the production system itself — and they're explicit about which one they're building at any given time.

How is Forward Deployed Engineering different from staff augmentation?

Staff augmentation adds engineering capacity to a team that already owns the scoping, the decisions, and the client relationship. Forward Deployed Engineering adds an engineer who owns those things too — someone who can scope the ambiguous ask, decide most things independently, and carry a solution from an unscoped problem through a working prototype or into production, without needing the work handed to them pre-defined.

Is Forward Deployed Engineering only for AI?

No. AI is one common application, but the same model applies to product development, modernization, systems integration, cloud migration, DevSecOps, and other complex engineering problems — anywhere the gap is between "we know what we want" and "someone needs to build it against our actual environment."

Can Forward Deployed Engineers work in regulated environments?

Yes. Our engineers adapt to environments with real requirements around security, privacy, governance, traceability, and regulatory compliance, and we have direct experience in regulated industries including healthcare and life sciences. We scope compliance depth to what a given engagement actually requires rather than applying a one-size-fits-all posture.

Do you build prototypes, or production systems?

Both — and we tell you which one you're getting before we start. Some engagements need a fast, honestly disposable proof to validate a direction before further investment; others need the real system, built and hardened to production standard from the outset. Many engagements do both, in sequence: prove the approach, then harden the version that worked. Conflating the two — over-engineering a prototype, or under-engineering a production system — is a common failure mode we scope around explicitly, up front.