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Case Study

TailorCV: Multi-tenant Career Platform Architecture

Designed and shipped a multi-tenant career platform with RBAC, auditability, and secure workflow foundations for long-term scale.

ProjectTailorCV
RoleChief Technology Officer
TimelineNov 2023 - Present
PublishedSeptember 18, 2025
UpdatedJanuary 9, 2026
  • Elixir
  • Phoenix
  • LiveView
  • PostgreSQL
  • Nuxt
  • TypeScript
  • Docker
  • Azure
TailorCV: Multi-tenant Career Platform Architecture

What I Owned

  • Delivered a production MVP in six weeks without sacrificing tenant and authorization boundaries.
  • Owned end-to-end platform architecture for both candidate and organization experiences.
  • Introduced audit-friendly approval and activity flows that reduced manual support overhead.

Grounded Signals

Architecture ownership

End-to-end

Data model, backend boundaries, real-time flows, and delivery setup

MVP delivery

6 weeks

From architecture baseline to production rollout

Platform mode

Multi-tenant by design

RBAC, auditability, and role-aware workflows built into core architecture

Context

TailorCV needed a strong technical foundation for a product serving multiple organizations with different workflows, permissions, and visibility rules. The initial objective was to ship quickly while avoiding the common multi-tenant mistakes that force expensive rewrites later.

Constraints

  • Launch timeline was aggressive.
  • Authorization rules were complex across roles and organizations.
  • Product workflows had to be traceable for support and compliance conversations.

Architecture Highlights

  • Tenant-aware data boundaries at query and service layers.
  • RBAC model aligned with real user responsibilities, not generic role labels.
  • Audit logging around critical actions (approvals, transitions, privileged operations).
  • Event-driven workflow updates to keep UI state and backend state consistent.

Grounded Proof Points

  • Owned the architecture baseline end-to-end, including tenant boundaries, authorization rules, and delivery sequencing.
  • Delivered core platform foundations under aggressive MVP timelines while keeping the system ready for post-launch expansion.
  • Worked with a distributed product/engineering context where supportability and auditability had to be built in from day one.

Key Decisions

  • Chose a strict domain model before broad feature expansion.
  • Prioritized secure workflow primitives (permissions, approvals, logs) in the first phase.
  • Kept user-facing flows simple while backend rules remained explicit and testable.

What I Owned

  • End-to-end architecture design and technical direction.
  • Core backend implementation patterns and data model boundaries.
  • Delivery sequencing for MVP scope and follow-on scalability work.

Outcome

The platform launched quickly with a technical base that remained stable as user volume and workflow complexity increased. Instead of rewriting core systems, the team could iterate on product capabilities and customer-specific workflows from a reliable foundation.

Architecture Engagement

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