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.
- Elixir
- Phoenix
- LiveView
- PostgreSQL
- Nuxt
- TypeScript
- Docker
- Azure
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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