Schema as contract
Pagination, auth boundaries and N+1 prevention decided at the design table, not discovered in production.

Engineers who design schemas as contracts: Apollo, Federation and the performance discipline that keeps a graph fast at scale.
GraphQL rewards design and punishes improvisation. This bench has built graphs that survived product pivots and team growth.
Pagination, auth boundaries and N+1 prevention decided at the design table, not discovered in production.
Supergraphs across teams and services without turning the gateway into a bottleneck.
REST-to-GraphQL strategies that ship incrementally — no big-bang rewrite.
No self-serve marketplace, no CV roulette: a CTO scopes the role with you and matches from a bench that already passed the hard filter.
Thirty minutes on your stack, constraints and definition of done — with an engineer, not a salesperson.
We match against vetted seniors only. If the fit is not there, we say so instead of stretching a profile.
The person for your context, with real code and architecture assessments attached — interviews optional, not mandatory.
Judge working output on your repo before any long-term commitment. Zero-risk by design.
Marketplaces optimize the moment you accept a profile; everything after is yours to run. Every Conectia engineer ships with the full arc around them — not as a premium tier, but as the only way we place anyone.
CTO-designed vetting passes 3% of candidates — and we present the person for your context, not a stack of CVs to interview through.
72h matchOnboarding prepared before day one: access, context, the first week planned. A delivery manager runs the engagement end to end when the project calls for it.
Day-one planCheck-ins every week — daily when the phase demands it — with you and with the engineer. Wrong fit? A substitute within 7 days, inside the 30-day guarantee, at no added cost.
7-day replacementThe ending is a deliverable: full documentation, working accounts handed over, and a safe delete of corporate content — every credential accounted for.
Safe deleteLocation-based rates with everything included — you compare a single number against your local cost, not a fee maze.
Yes, incrementally: a gateway in front of existing services, schema-first design, and REST retired endpoint by endpoint.
They are Node/TypeScript seniors first — resolvers, data loaders and the databases behind them are in scope.
Persisted queries, query-cost limits, dataloader batching and observability on resolver latency — measured, not assumed.
A vetted match in 72 hours and a 14-day Pilot Sprint on your actual graph.
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