Phase 1: Architecture Analysis
🔍 Key Technical Findings
- Monolithic Architecture: 52 Django apps with 884 API endpoints tightly coupled
- Performance Issues: 346 N+1 queries causing 3-5 second response times
- Database Bottleneck: Single PostgreSQL instance handling 50K+ transactions/day
- Complex Integrations: 22 third-party services without proper abstraction layer
- Queue Complexity: 15+ Celery queues with interdependencies
- Deployment Risk: 2-week deployment cycles affecting entire system
graph TB
subgraph "Current State Analysis"
A[Django Monolith] --> B[52 Apps]
B --> C[884 Endpoints]
C --> D[22 Integrations]
D --> E[Performance Issues]
E --> F[346 N+1 Queries]
F --> G[3-5s Response Times]
end
subgraph "Business Impact"
H[30M Users] --> I[50K Transactions/Day]
I --> J[$170B Annual Volume]
J --> K[Scaling Challenges]
end
subgraph "Technical Debt"
L[2-Week Deployments] --> M[High Risk]
M --> N[Limited Innovation]
N --> O[Team Frustration]
end
A --> H
E --> K
G --> O
Phase 2: Requirements Definition
📋 Position Requirements
- Experience: 8-12 years backend, 5+ years Django production
- Proven Success: 2+ monolith decompositions completed
- Technical Depth: PostgreSQL optimization, distributed systems
- Domain Knowledge: Financial services and payment processing
- Leadership: Ability to guide 10+ engineers through transformation
- Communication: Executive-level technical articulation
📝
LinkedIn Job Post
150-word optimized posting for maximum reach and engagement
🌐
Website Job Post
500-word detailed description with technical requirements
👤
Candidate Profile
Ideal background, skills, and experience mapping
graph LR
subgraph "Must-Have Skills"
A[Django Expert] --> B[Microservices]
B --> C[PostgreSQL]
C --> D[API Design]
D --> E[Celery/Queues]
end
subgraph "Nice-to-Have"
F[Financial Services] --> G[Payment Systems]
G --> H[Compliance]
H --> I[High Volume]
end
subgraph "Leadership"
J[Technical Vision] --> K[Team Guidance]
K --> L[Stakeholder Mgmt]
L --> M[Change Agent]
end
E --> F
I --> J