Chapter 5: Technology & Architecture Analysis

1. Confirmed Technology Stack

2. Salesforce Ecosystem - Deep Dive

Salesforce is central to Genix Ventures’ technology strategy. The company engages with Salesforce across three distinct models:

3. Inferred Architecture Patterns

Based on product descriptions, client deployments, and technology evidence:

Backend Architecture

graph TD
    Client([Client / Browser])
    Client --> LB

    subgraph Edge["Edge Layer"]
        LB["Load Balancer / CDN<br/>(Cloudflare)"]
    end

    LB --> GW

    subgraph Services["Application Layer"]
        GW["API Gateway"]
        GW --> WF["Workflow Service<br/>(Python/Django)"]
        GW --> DS["Document Service<br/>(Python)"]
        GW --> AI["AI/ML Service<br/>(Python)"]
        GW --> AS["Assessment Service<br/>(Python/Django)"]
    end

    WF & DS & AI & AS --> MQ

    subgraph Messaging["Event Layer"]
        MQ["Message Queue / Event Bus"]
    end

    MQ --> DB
    MQ --> SF

    subgraph Data["Data Layer"]
        DB[("Database(s)<br/>Relational / NoSQL")]
        SF[("Salesforce Platform<br/>OEM/ISV Data Model")]
    end

    style Edge fill:#fef3c7,stroke:#d97706
    style Services fill:#f0f4ff,stroke:#4a6fa5
    style Messaging fill:#e8eef7,stroke:#4a6fa5
    style Data fill:#d4e4f7,stroke:#4a6fa5
    style GW fill:#4a6fa5,color:#fff
    style MQ fill:#6b7db3,color:#fff

• Backend: Python/Django for application services, likely Java for some enterprise components
• Frontend: React or Angular SPA for dashboards and user interfaces
• Platform: Salesforce as the foundational CRM/data platform with custom Lightning components
• AI Pipeline: Predictive models and generative AI integrated into platform services
• Deployment: Cloud-hosted (likely AWS or Azure) with microservices orchestration
• Security: Multi-layered security aligned with ISO 27001 and IRAP compliance

Key Architecture Decisions

4. Technology Gaps & Opportunities

Areas where Genix is likely investing or looking to improve:

These represent likely areas of focus for new senior engineering hires.

5. What This Means for Your Interview

• Emphasise transferable CRM/platform skills
• Draw parallels: Apex ~ Java, SOQL ~ SQL, LWC ~ Web Components
• Show willingness to ramp up quickly; highlight how you’ve learned new platforms before
• Focus on your strengths in microservices, Python/Django, AI/ML, and cloud architecture
• Demonstrate understanding of microservices architecture principles
• Show experience with CI/CD (Jenkins or equivalent)
• Discuss secure development practices (ISO 27001, OWASP)
• Talk about AI/ML integration in production systems
• Highlight experience with multi-tenant or SaaS platforms