The forward-deployed engineer who owns the app end to end: native screens, offline behaviour, store releases and crash-free performance, built inside your team and handed over documented.
Why this role exists
A demo on one device is easy. An app that works offline, survives background refresh, passes store review and stays crash-free across devices is the hard part, and it needs an engineer who lives in that layer.
Most teams do not need a mobile department. They need one senior engineer who owns the app end to end, works inside their codebase, and leaves the release process running without us. That is exactly what this role is.
What this engineer owns
The engagement starts with a single senior engineer inside your team and grows only when the problem justifies it. These are the commitments behind the role; exact scope is agreed with your team.
Your mobile engineer takes a feature from design to the store: screens, navigation, data, offline behaviour, store listing and release. They write the code, run the devices, and stay answerable for how the app behaves in people's hands.
What to verify: Ask who owns a feature from design to the store, and who is called when crash rates move.
Platform capabilities are used properly: permissions with honest prompts, background tasks, notifications, deep links and the settings users actually change. The app feels at home on each platform rather than ported.
What to verify: Ask which platform capabilities the app uses, and how permission prompts were decided.
Offline-first where it matters: local caching, queued actions that sync later, and conflict handling that does not lose the user's work. A lift or a flight is not an error screen.
What to verify: Ask what happens when the network drops mid-action, and how queued work is reconciled later.
Release trains, store review handled early, staged rollouts, and crash monitoring that catches a bad build within hours. A release is routine, and a rollback is a decision made with data.
What to verify: Ask how often the app ships, what the crash-free rate is, and how a bad release is contained.
Startup time, scroll smoothness and battery drain are measured on mid-range devices, not flagship phones. The engineer finds the jank with profiling, fixes it, and re-measures.
What to verify: Ask what the cold start time is on a mid-range device, and what the last profiling session found.
Every module, release script and decision lives in your repository with written rationale. When the engagement ends, your team builds, releases and improves the app without us in the loop.
What to verify: Ask where the release process is documented, and who on your side can ship the next version after handover.
How they work
The loop is simple and strict: build the change, test it on real devices, release it through the store gate, and monitor it with the data that proves it works.
AI in the engagement
AI is not a separate offering bolted on. It is part of how this engineer works, and the judgment they bring is part of what your team absorbs.
AI tooling accelerates scaffolding, tests and boilerplate screens. What ships is code the engineer has read, understood and taken responsibility for.
Store guidelines, permission rules and platform APIs change often. AI tooling helps search them; the engineer verifies against the current rules before shipping.
AI-assisted changes go through the same review, tests and device checks as everything else. Nothing reaches the store because it looked finished.
The engineer ships small, frequent releases behind flags where possible, so every change is easy to verify, roll back and learn from.
Working principles
Written scope, reviewed changes and visible trade-offs decide whether an embedded engineer actually works. We make those commitments explicit rather than implied.
The platforms, feature set and device support are written down before the first commit, and changes to them are agreed, not assumed.
Every change goes through review and CI like the rest of the codebase. The engineer is a team member, not an outside black box.
When native polish, speed and scope conflict, the engineer shows the options and lets you decide, rather than picking quietly.
You work with the same engineer for the engagement, not a rotating bench. Continuity is what makes judgment about your product compound.
Security & trust
This role touches your code, your users and your customers. Access, data boundaries and signing permissions are agreed in writing before the first commit.
The engineer gets scoped access to the repositories, build systems and store consoles the work needs, nothing more, and access is reviewed and revoked at the end of the engagement.
Fixtures, screenshots and test devices use synthetic data. Real customer data is never copied into test builds or store listings.
Signing keys and credentials live in your secret manager, never in code or chat, and are rotated when the engagement ends.
Builds, store submissions and rollouts are logged, so any change to the app can be traced to a person and a reason after the fact.
Working arrangements
The engineer works remotely inside your rituals, in your repositories and store accounts, with builds and signing running on infrastructure you control.
The engineer joins your stand-ups, reviews and planning from remote, and works in your repositories and issue trackers as a team member would.
Builds, signing and store accounts stay yours, with your keys and your logging. We do not route your app through infrastructure you have not approved.
What the engineer may access, what may leave your environment and what must never leave are agreed in writing before development starts.
For device labs, user testing sessions or a critical launch, on-site time is arranged deliberately.
How it starts
A paid two-week sprint proves the working relationship before anything longer is discussed. If it does not show real progress, you walk away.
Week one starts with the real app: what users struggle with, which screens are slow or crash, and what the store reviews say. The engineer sits with your team and uses the app as a user would, on mid-range devices.
One goal in writing: for example, one real feature shipped end to end with offline behaviour, device tests and a release plan. Success criteria are agreed before building starts.
The engineer builds inside your codebase, opens small reviewed changes, and shows you working builds on real devices, including what did not work, at the end of each week.
At the end of the sprint you see what shipped, the device measurements and crash data, and decide together what comes next: extend, hand over or stop.
Whichever your users are on, and both when that is the reality. The engineer works across the platforms your product serves and fits the approach to your codebase.
Decided by the product, not by fashion. The engineer works with native and the major cross-platform stacks, and will tell you honestly when a rewrite is and is not worth it.
Yes, and that is the default. They work inside your repositories, follow your conventions and improve the code they find, rather than starting something parallel.
Early and deliberately: review guidelines are checked before submission, metadata and screenshots are prepared in advance, and rejected submissions are fixed and resubmitted without drama.
No, but someone on your side owns the outcome. The engineer works with your product owner or designers, and hands the app over with documentation, tests and a documented release process.
The sprint is a fixed, paid engagement agreed before it starts, and its scope is written down. If it does not show real progress, you walk away with everything built so far in your repository.
Let's talk
Tell us about the product, the platforms and the constraints. We will help define a first sprint goal and the evidence needed to judge it.