Chapter 5: Interview Preparation Strategy

1. Technical Areas to Prepare

Salesforce Development (High Priority)

Salesforce is central to Genix’s operations across all three business areas.

• Apex - Classes, triggers, batch jobs, scheduled jobs, queueable jobs
• Lightning Web Components (LWC) - Modern UI development with reactive properties, events, wire service
• Aura Components - Legacy but still widely used; component events, application events
• Salesforce APIs - REST, SOAP, Bulk, Streaming, Metadata
• SOQL / SOSL - Queries, relationship queries, aggregate queries, full-text search
• Security Model - Sharing rules, profiles, permission sets, field-level security, org-wide defaults
• AppExchange - Managed packages, security review process, namespace management (ISV context)
• OEM Patterns - Embedding Salesforce in branded products, OEM licensing considerations
• Salesforce DX - Source-driven development, scratch orgs, CLI tooling, CI/CD integration
• Governor Limits - Understanding and working within platform constraints (100 SOQL queries, 150 DML, CPU time)

Cloud & Microservices Architecture (High Priority)

Casegenix runs on orchestrated microservices on cloud infrastructure.

• Design Patterns - API Gateway, Service Discovery, Circuit Breaker, Saga, Event Sourcing, CQRS
• Container Orchestration - Docker containerisation, Kubernetes (pods, services, deployments, ingress)
• Event-Driven Architecture - Message queues (RabbitMQ, Kafka), pub/sub patterns, eventual consistency
• RESTful API Design - Resource modelling, versioning, pagination, error handling, HATEOAS
• Cloud Infrastructure - AWS (EC2, ECS, Lambda, S3, RDS) or Azure equivalents
• CI/CD Pipelines - Jenkins pipeline design, stages, parallel execution, deployment strategies (blue-green, canary)
• Infrastructure as Code - Terraform, CloudFormation, or equivalent
• Observability - Logging, metrics, distributed tracing (ELK, Prometheus, Jaeger)

Full-Stack Development (Medium-High Priority)

Genix actively hires full-stack developers.

• Python / Django - ORM, middleware, REST framework (DRF), async views, management commands
• JavaScript / TypeScript - ES6+, async/await, module systems
• React - Hooks, context, state management, component lifecycle, testing (Jest, React Testing Library)
• Angular - Components, services, dependency injection, RxJS, modules
• Database Design - Relational schema design, indexing strategies, query optimisation, migrations
• NoSQL - Document stores (MongoDB), key-value stores (Redis), when to use each
• API Integration - Third-party API consumption, webhook handling, retry strategies

AI/ML Integration (Medium Priority)

AI is a growing focus across all three business areas.

• Predictive Modelling - Classification, regression, feature engineering, model evaluation
• Generative AI - LLM API integration (OpenAI, Anthropic), prompt engineering, RAG patterns
• Data Pipelines - ETL/ELT, data preprocessing, feature stores
• Document AI - Document generation, summarisation, extraction
• Graph Analytics - Relationship discovery, entity resolution, network analysis (relevant to Find 360)
• MLOps - Model versioning, A/B testing, monitoring, deployment

Security & Compliance (Medium Priority)

ISO 27001 and IRAP are actively maintained certifications.

• ISO 27001 - Information security controls, risk assessment, access control, incident management
• IRAP Framework - Australian government security assessment, PROTECTED classification requirements
• OWASP Top 10 - Injection, broken authentication, XSS, CSRF, SSRF, security misconfiguration
• Encryption - Data at rest (AES-256), data in transit (TLS 1.3), key management
• Authentication & Authorization - OAuth 2.0, SAML 2.0, OpenID Connect, JWT
• Privacy - Australian Privacy Act, data sovereignty, data residency requirements
• Audit Logging - Immutable audit trails, compliance reporting

Assessment & Learning Standards (Low-Medium Priority)

Relevant if working on Genix Learning products.

• SCORM - Sharable Content Object Reference Model; packaging, runtime, sequencing
• xAPI (TINCAN) - Activity statements, Learning Record Store (LRS), verb/object model
• LMS Integration - Common integration patterns, content packaging, grade passback

2. System Design Questions to Prepare

Q1: Design a Cloud-Native Case Management System

Directly relevant to Casegenix

Key Discussion Points:

• Microservices decomposition - How to split case management into services (workflow, documents, notifications, users, reporting)
• Workflow engine design - State machines vs rule engines, configurable vs coded workflows
• Multi-tenant architecture - Database-per-tenant vs shared-database with row-level isolation
• Document generation pipeline - Template management, async generation, storage, versioning
• Real-time notifications - WebSockets, SSE, push notifications for case updates
• Audit trail - Immutable event log for compliance, event sourcing for case history
• Search - Full-text search across cases (Elasticsearch), structured queries for reporting

Q2: Design a Scalable Assessment Platform

Directly relevant to EXAMINA+ (1M+ assessments/year across 58 countries)

Key Discussion Points:

• Geographic distribution - Multi-region deployment for low latency across 58 countries
• Concurrent user handling - Exam sessions with thousands of simultaneous users; connection pooling, caching
• Anti-cheating - Captive browser enforcement, screen monitoring, activity logging, IP restrictions
• Item bank management - Version-controlled question bank with metadata, difficulty ratings, AI-generated items
• Scoring pipeline - Real-time scoring for objective items, async grading for subjective items, AI-assisted grading
• Reliability - What happens if a user loses connection mid-exam? Auto-save, session recovery
• Data integrity - Ensuring submitted answers are never lost; idempotent submission endpoints

Q3: Design an AI-Powered Relationship Mapping Tool

Directly relevant to Find 360

Key Discussion Points:

• Graph data model - Nodes (records) and edges (relationships), property graphs
• Entity resolution - Matching and deduplicating entities across different data sources
• AI discovery - ML models for identifying non-obvious relationships (similarity, co-occurrence, NLP)
• Visualization - Force-directed graphs, hierarchical layouts, interactive exploration
• Salesforce integration - Working within governor limits, efficient SOQL queries for relationship discovery
• Performance - Handling large datasets; pagination, lazy loading, server-side rendering for complex graphs
• Caching - Precomputed relationship graphs, incremental updates

Q4: Design a Multi-Tenant SaaS Platform for Government Compliance

Cross-cutting concern for Casegenix and Learning products

Key Discussion Points:

• Tenant isolation - Logical vs physical isolation; database-level, schema-level, or row-level
• Data sovereignty - Data residency requirements; keeping data within Australian borders
• Configurable workflows - Per-tenant workflow configurations without code changes
• RBAC at scale - Role hierarchies, permission inheritance, cross-tenant admin
• Audit logging - Immutable, tamper-proof logs for compliance and forensic analysis
• SLA management - Per-tenant SLAs, rate limiting, resource quotas
• Upgrade strategy - Rolling upgrades across tenants, feature flags for gradual rollout

3. Behavioral Questions to Prepare

Given the company culture emphasizing integrity, innovation, and collaboration:

Leadership & Ownership

Question	What They’re Assessing
Tell me about a time you led the design and delivery of a complex system.	Architectural thinking, end-to-end ownership
Describe a situation where you had to make a critical architectural decision with incomplete information.	Decision-making under uncertainty, risk assessment
How do you mentor junior developers and build team capability?	Leadership, knowledge sharing, team growth
Tell me about a time you took ownership of a failing project and turned it around.	Accountability, problem-solving, initiative

Problem Solving

Question	What They’re Assessing
Describe a production incident you resolved under pressure.	Crisis management, systematic debugging
Tell me about a time you identified and fixed a significant performance bottleneck.	Profiling skills, optimisation approach
How do you approach debugging complex issues in a microservices environment?	Distributed systems thinking, observability
Describe a time you had to make a significant trade-off between technical debt and delivery.	Pragmatism, communication of trade-offs

Collaboration & Communication

Question	What They’re Assessing
How do you work with non-technical stakeholders to gather requirements?	Communication skills, empathy
Describe a time you had to push back on a technical decision. How did you handle it?	Constructive disagreement, evidence-based argument
Tell me about your experience working in cross-functional teams across multiple time zones.	Remote collaboration, cultural awareness
How do you handle code reviews - both giving and receiving feedback?	Team dynamics, growth mindset

Innovation & Continuous Improvement

Question	What They’re Assessing
How do you stay current with emerging technologies?	Continuous learning, curiosity
Describe a time you introduced a new technology or approach that improved your team’s productivity.	Innovation, change management
What’s your experience with AI/ML integration in production systems?	Relevant to Genix’s AI focus
How do you evaluate whether to build vs buy a component?	Strategic thinking, pragmatism

Compliance & Security

Question	What They’re Assessing
How do you ensure security is built into the development lifecycle?	Security mindset, shift-left thinking
Describe your experience working with regulatory compliance requirements.	Relevant to government clients
How do you balance delivery speed with security and quality?	Pragmatism, risk management

4. Questions to Ask the Interviewer

About the Role

• What does the current architecture look like, and what are the biggest technical challenges you’re facing?
• How is the engineering team structured across the three business areas (Casegenix, Learning, Innovations)?
• What does the development lifecycle look like from ideation to production?
• How does the team handle the IRAP certification process from an engineering perspective?
• What would success look like in the first 6 months for this role?

About Technology

• What’s the current state of the AI/ML roadmap, particularly for generative AI features?
• How do you manage the Salesforce OEM/ISV relationship from a development workflow perspective?
• What does your testing strategy look like for microservices at scale?
• Are there plans to expand beyond the Salesforce ecosystem?
• What’s the biggest technical debt challenge the team is tackling right now?

About Culture & Growth

• How does Genix support continuous learning and professional development for engineers?
• What does career progression look like for senior engineers?
• How do teams collaborate across the Melbourne, Singapore, and New Delhi offices?
• What’s the balance between product development and client-specific customisation work?
• How are engineering priorities decided when there are competing demands from the three business areas?

5. Key Talking Points for the Interview

Align Your Experience With Their Needs

1. Microservices & Cloud Architecture - Emphasize experience building scalable, resilient cloud-native systems
2. Salesforce Ecosystem - If you have Salesforce experience, highlight it prominently. If not, demonstrate willingness and ability to ramp up quickly, and draw parallels with similar CRM/platform experience
3. AI/ML Integration - Showcase any experience with predictive modelling, generative AI, or ML pipeline development
4. Government/Compliance Work - Any experience with regulated industries (financial services, healthcare, government) is highly relevant
5. Full-Stack Capability - Demonstrate breadth across backend (Python/Django), frontend (React/Angular), and platform (Salesforce)
6. Security Mindset - Show understanding of ISO 27001 principles and secure development practices
7. Small Company Adaptability - With ~42 employees, demonstrate you can wear multiple hats and take ownership

Company-Specific Knowledge to Demonstrate

Show the interviewer you’ve done your homework:

• Understand the three business areas and how they relate to each other
• Know that Casegenix originated from WorkSafe Victoria fraud investigation
• Mention the 70,000+ user base for Learning products and 1M+ annual assessments across 58 countries
• Reference their ISV products on Salesforce AppExchange (Find 360 is live)
• Acknowledge their ISO certifications and IRAP journey - shows security maturity
• Show awareness of their partner ecosystem (Salesforce, NEC, Opturion)
• Note their international presence (Singapore, New Delhi, London) and the collaboration challenges/opportunities that brings

Red Flags to Avoid

• Don’t dismiss Salesforce as “just a CRM” - it’s foundational to their business
• Don’t focus only on one business area - show interest across all three
• Don’t underestimate the complexity of compliance work - it’s their bread and butter
• Don’t ignore the AI angle - it’s clearly where they’re investing for the future