FiftyFive built a custom recruitment SaaS platform for a UK-based hiring business serving production and corporate roles. The platform runs three separate user environments for Companies, Agents, and Candidates, backed by production-specific candidate schemas. Backend matching logic ranks applicants against job parameters, reducing manual screening across large applicant pools.
Let’s Build TogetherThe client is a UK-based recruitment platform serving production and corporate hiring. The business is positioned around niche talent discovery, connecting creative professionals, production agents, and companies that need industry-specific recruitment workflows at scale. Generic job boards could not support how production teams actually select talent, so the client set out to build a purpose-built hiring ecosystem instead. FiftyFive was engaged as the custom software development partner to engineer that platform.
Production hiring does not work like standard recruitment. Candidate selection depends on credits, past work, production progress, and equipment knowledge, and three very different user groups need to move through the same system without ever sharing the same view of it.
FiftyFive engineered a multi-tiered SaaS web application built around how production hiring actually happens. Rather than adding filters to a standard job board, the team modelled the domain first: separate environments per user role, candidate schemas designed for production data, and a publishing pipeline that treats a job posting as a lifecycle rather than an event. Backend matching logic then does the work that hiring managers were doing by hand. Every layer — routing, schema, search, and dashboard — is scoped to the role using it.
The platform separates Companies, Agents, and Candidates at the architecture level rather than the interface level.
Candidate profiles were engineered around the attributes production hiring actually filters on.
Job records move through a controlled lifecycle with full management operations at every stage.
Matching logic replaces manual shortlisting as the first pass over an applicant pool.
Document handling and tracking were built per role rather than as one shared view.
The source material does not specify the project team size or a role-by-role headcount. FiftyFive is identified as the custom software development partner across database engineering, UI/UX development, advanced search, backend engineering, and CV workflow development.
Team Size
Not Specified
FiftyFive delivered a custom SaaS recruitment platform that centralised production hiring into one industry-specific ecosystem. The client gained a product foundation that serves companies, agents, and candidates through a single system, with algorithmic matching replacing manual applicant filtering.
FiftyFive built separate Company, Agent, and Candidate dashboards with role-based authentication and independent data schemas for each user type.
Draft, Preview, Published, and Archived states give hiring teams controlled job publishing with full create, edit, and archive operations.
Backend matching logic ranks candidate profiles against job parameters, surfacing better-matched applicants from large pools without manual filtering.
Structured candidate schemas and filtered queries reduce repetitive shortlisting work when hiring managers review credits, portfolio, and equipment knowledge.
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A custom recruitment SaaS platform is hiring software built around one organisation's specific workflows rather than a generic job board template. It typically includes role-based dashboards, structured candidate profiles, job publishing workflows, and matching logic tuned to the industry's actual selection criteria.
Niche industries select candidates on attributes generic job boards do not capture. In production hiring, that means credits, past work, production progress, and equipment knowledge. Custom recruitment software models those fields directly in the database, making them searchable, filterable, and usable by matching algorithms rather than buried in CV text.
A job board lists vacancies and collects applications. A recruitment SaaS platform manages the full hiring workflow: multiple user roles, structured candidate data, job lifecycle states, applicant tracking, and candidate ranking. Job boards optimise for listing volume, while SaaS platforms optimise for selection quality and workflow control.
Candidate matching compares structured candidate profile data against defined job parameters and returns a ranked list rather than an unordered set. Accuracy depends on how well the underlying schema captures the attributes that matter, which is why data modelling comes before algorithm design in recruitment platform development.
Role-based access control gives each user type its own authentication path, permissions, and interface. In a recruitment platform, companies, agencies, and candidates see entirely different dashboards and data. Implemented at the architecture level, it prevents data leakage between user groups and keeps each journey purpose-built.
CV parsing extracts structured information from uploaded documents and maps it to fields in the candidate record. A complete CV workflow covers upload, parsing, storage, and ongoing document management, so recruiters can search across applications instead of opening every file individually.
Core features include role-based dashboards, structured candidate profiles, advanced search, a job publishing workflow with draft and preview states, CRUD job management, CV upload and parsing, applicant tracking, and candidate matching logic. The right mix depends on the industry's hiring criteria and user roles.
Draft and preview states let hiring teams build and validate a posting before candidates see it. Combined with published and archived states, this creates a controlled job lifecycle where roles can be edited, retired, and retrieved later without deleting records or losing hiring history.
Scalability in recruitment platforms starts with the data model. Nested candidate schemas must stay queryable as profile depth and applicant volume grow, search must remain fast under filtered queries, and matching logic must handle large pools. Architecture decisions made early determine how far the platform scales later.
Candidate data security relies on role-based authentication, separated data environments per user type, controlled document storage, and permissions enforced in the backend rather than the interface. Platforms handling UK and EU candidate data also need data-protection compliance built into how records are stored, accessed, and retained.
Timelines depend on the number of user roles, the complexity of the candidate data model, whether matching logic is required, and integration scope. FiftyFive scopes recruitment platform builds after a discovery phase and offers a two-week free proof of concept so clients can validate the approach before committing.
Yes. FiftyFive provides dedicated development teams for recruitment and HR technology products, covering backend engineering, database design, UI/UX, and CV workflow development. With 300+ professionals across four offices and time-zone-aligned delivery, teams can be scaled to match project scope and pace.
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