What Is Forward Deployed Engineering?
Forward deployed engineering is an engagement model in which a senior engineer embeds inside a customer’s own codebase, infrastructure, data, and team to solve one consequential problem end to end, building the working solution in place and handing it over to the team that will own it.
A senior engineer inside your systems, on one mission, until your team owns the result.
The forward deployed engineer is a role popularised by Palantir and now hired widely by AI and enterprise software companies: an engineer who sits with the customer, learns the real system rather than the documented one, and builds what the problem actually needs. I apply the same model to revenue-critical web platforms, where search visibility, performance, edge infrastructure, and migrations fail together and rarely belong to a single team.
Most IvanLabs work is advisory: your team executes and I review. A forward deployed engagement is the exception, for problems where the fastest path is for me to work inside your repositories alongside your engineers. If what you need is ongoing judgment rather than hands-on build, Fractional Platform Advisory is the better fit.
What a Forward Deployed Mission Looks Like
Each engagement is scoped around one mission with a clear definition of done. Typical missions on web platforms:
- Migration evidence harness. Capture the pre-migration baseline per template, then build the crawl, render, redirect, and structured-data diffs that tell you within days of cutover whether something structurally broke
- Template-level performance instrumentation. Field and lab measurement grouped by template, with regression alerts tied to deploys, so Core Web Vitals regressions are caught at merge time rather than in next month’s rankings
- Edge and WAF deployment guardrails. Typed configuration, render-and-diff review, and health-gated rollout with tested rollback, the same discipline described in Why WAF Deployments Break Production Platforms
- Diagnostic pipelines your team keeps. Turn a question you keep asking by hand (why did this template lose indexation, which deploy moved p95) into a pipeline built on your own data, in the spirit of internal platform intelligence dashboards
- Build pipeline and supply-chain controls. Isolated builds and egress controls that name the process, so a compromised dependency cannot quietly phone home from CI
How an Engagement Runs
- Mission and access. We agree the problem, what done looks like, and who on your side owns the result. Access goes through your normal onboarding, with the least privilege the mission needs
- Embed and learn the real system. I read the code, the deploy path, the telemetry, and the incident history, and talk to the people who run it. The first output is a short written account of how the system actually behaves, which often reshapes the mission
- Build in place, with your team. Work lands in your repositories through your review process, in small changes your engineers can follow. Wherever possible, someone on your team pairs on each piece
- Hand over and step back. Documentation, runbooks, and a handover session for the people who will maintain it. The engagement ends when your team can run, change, and extend what was built without me
Forward Deployed, Advisory, or Audit?
Which IvanLabs model fits?
| Forward Deployed Engineering | Fractional Advisory | Platform Intelligence Audit | |
|---|---|---|---|
| Primary question | Can someone build this inside our system? | How should we keep making consequential decisions? | What is actually wrong or at risk? |
| Hands on keyboard | Yes, in your repositories | No, your team executes | No, findings and roadmap |
| Structure | One mission, defined done | Ongoing retainer | Defined diagnostic |
| Output | Working capability your team owns | Reviewed decisions and priorities | Baseline, findings, sequenced roadmap |
| Best when | Problem is clear, capacity or depth is missing | Decisions keep recurring | Cause or priority is unclear |
If the cause of the problem is not yet clear, start with a Platform Intelligence Audit. If a migration date is already set, Migration & Redesign Oversight can be delivered as a forward deployed engagement when your team needs the evidence harness built rather than specified.
What Stays True in Every Engagement
- Your team owns the result. Code, configuration, and documentation live in your systems. No proprietary runtime, no hosted dependency, no licence
- One engineer, directly. All work is done by me. There is no account manager and no junior handoff
- Evidence before opinion. Every change is measured against a baseline captured first, and results are reported with the same disclosure discipline as the published case studies
- A defined end. The engagement is scoped to finish. Ongoing involvement, if useful, continues as lighter advisory
Engineering Background
I have worked in web and systems engineering for more than 20 years, across backend systems, data pipelines, platform performance, technical SEO, and production infrastructure. Day to day that means Python, Rust, PHP, and TypeScript; Django, FastAPI, and Axum; PostgreSQL, MySQL, and Redis; Linux, Docker, CI/CD, Cloudflare, and Caddy.
The clearest public example of how I build is ProxyLax, an edge security platform on Caddy and the OWASP Coraza WAF with typed configuration rendering, health-gated rollouts, and isolated build infrastructure with logged egress. More about my background is on the About page, and the long-form writing behind these missions is in the Advisory Notes.
Related Advisory Notes
- What Is a Forward Deployed Engineer? The Role, Applied to Web Platforms
- The Pre-Migration Baseline: What to Capture Before Replatforming
- Why WAF Deployments Break Production Platforms
- Building Internal Platform Intelligence Dashboards
Or see whether the Audit fits first → A forward deployed engineer (FDE) is a senior engineer who works inside a customer's environment, in their code, infrastructure, data, and team conversations, to solve one consequential problem end to end. Unlike a consultant who reports findings, an FDE builds the working solution in place; unlike a contractor working a ticket queue, an FDE owns the outcome and decides what needs building in the first place. On a revenue-critical web platform the work is usually one of four missions: building the evidence a migration needs (baselines, crawl and render diffs, redirect validation), instrumenting performance at template level so regressions are caught before they cost revenue, putting deployment guardrails around risky layers such as edge, WAF, and CDN configuration, or turning a recurring diagnostic question into a pipeline the team can run without outside help. Fractional advisory is ongoing senior judgment: reviewing decisions while your team executes. Forward deployed engineering is mission-scoped and hands-on: I work inside your repositories and infrastructure to build a specific capability alongside your engineers, then hand it over. Many teams use both, starting with a forward deployed mission and continuing with lighter advisory once the capability is in place. No. A contractor or agency adds delivery capacity against a specification someone else wrote. A forward deployed engineer starts from the problem, works out what should be built, builds it with your team, and leaves it in your repository with your engineers able to run and change it. The measure of success is the capability your team keeps, not hours delivered. Your team does. Everything is built in your repositories, on your infrastructure, through your normal review process, and documented for the people who will maintain it. There is no proprietary IvanLabs runtime, licence, or hosted dependency left behind. When the problem is clear enough to act on but your team lacks the time or specific depth to build the solution, when the work crosses boundaries no single team owns (search, performance, edge, and backend at once), or when a migration or launch date makes waiting for a hire unrealistic. If the cause or priority is still unclear, a Platform Intelligence Audit is usually the better first step. A named internal owner, access to the relevant repositories, environments, and telemetry through your normal onboarding, and agreement on the mission and what done looks like. Scope and access are agreed before work starts.Forward Deployed Engineering FAQ
What is a forward deployed engineer?
What does a forward deployed engineer do on a web platform?
How is forward deployed engineering different from fractional advisory?
Is a forward deployed engineer the same as a contractor or an agency?
Who owns the code and systems after the engagement?
When is a forward deployed engineer the right model?
What do you need from us to start?