Kontent.ai suits organizations that want strict editorial control over structured content sent to several channels. The developers we place know how it models languages and workflow, and build the frontends and integrations that read it.
Work for a Kontent.ai developer
- Design content types, reusable snippets, taxonomies and components that match how your teams work.
- Model translations with language variants and the workflow steps each variant must pass.
- Render rich text with linked items and components in a frontend, including items that appear inside other items.
- Build integrations with the Delivery and Management APIs, webhooks and custom elements.
- Clone and compare environments, then move model changes forward with a migration script.
- Connect the content to a website, an app or a commerce system, so one source feeds each of them.
- Review an existing project for unused content types, inconsistent taxonomies and workflow steps nobody uses.
The skills we check
- Candidates should explain why a missing translation breaks a page, and how fallbacks are handled in the frontend.
- Depth parameters and resolution of items inside rich text decide whether a page renders fully. We ask for a real example.
- The frontend must show only content that reached a published step, and preview must show what is still in review.
- Items can be referenced by ID or by codename, and the choice matters when content moves between environments.
- We look for scripted changes with a rollback plan, not manual edits in production.
- Enterprise teams need clear role mapping for editors, reviewers and publishers, and a developer who can explain it to non-technical owners.
- Publish and unpublish events should trigger cache or search updates, and the handler must cope with repeated or out-of-order deliveries.
We ask for a multi-language launch the candidate worked on, and what went wrong in it.
How the first month goes
The developer begins with access and a model review, listing content types, snippets, taxonomies, workflow steps and roles, then checks how the frontend queries them. You get notes on gaps, such as fields that editors skip or items that nothing links to.
The first shipped change is built on a cloned environment, for instance a new component with its renderer, or a fix to the language fallback. The month closes with documentation of the model and migration routine, plus a handover session for your editors and developers.
Staffing models
Someone can join your team and sprints as a dedicated developer, or arrive with QA or design as a team extension. A scoped project gives you a defined delivery instead. We describe contracts and communication on IT staff augmentation and dedicated team.
Replatforming into Kontent.ai
A move into Kontent.ai from a legacy suite or an older CMS involves content audit, mapping and governance decisions that go beyond one engineer. See our Kontent.ai services for project work and the headless CMS agency page for how we run platform selection. For the other platforms we staff, the headless CMS developer overview has the list.
