Technology Leadership & Team Structure
• Engineering Organization Ownership
• Leads and structures a multi-disciplinary technology verticals, typically including:
o Backend Engineering (core platform, wallet, transaction engine)
o Frontend & Mobile Engineering
o DevOps / SRE (Site Reliability Engineering)
o Security Engineering
o Data Engineering & BI
o QA / Automation
o Fraud & Risk Systems Engineering
• Leadership Responsibilities
o Define engineering culture, standards, and architecture governance
o Design scalable team structure for 24/7 sportsbook operations
o Establish incident response frameworks and escalation protocols
o Lead sprint planning, technical roadmaps, and platform evolution
o Vendor and integration partner technical oversight
o Hiring senior engineers and mentoring tech leads
• Technical Literacy & Coding Capability
technically hands-on and code-literate, capable of reviewing architecture and engineering decisions at depth.
• Programming & Systems Knowledge
Strong working knowledge of:
o Backend: Java, Kotlin, Go, Node.js, Python or C#
o Frontend: React, Angular, Vue (SPA performance optimization)
o Mobile: iOS/Android architecture awareness
o APIs: REST, WebSockets, gRPC
o Database Systems: PostgreSQL, MySQL, Redis, Cassandra
o Message Queues: Kafka, RabbitMQ
o Real-time Processing: Event-driven architectures
• Review code quality and scalability
• Participate in system design reviews
• Troubleshoot performance bottlenecks
• Understand memory, concurrency, and latency trade-offs
Core Technical Ownership Areas
High-Availability Gaming Architecture
• Design systems for:
o High betting concurrency
o Real-time odds updates
o Wallet transaction integrity
• Multi-region failover and redundancy
Payments Infrastructure
• PSP integrations, routing layers, failover logic
• Handling high-risk BIN behavior and approval optimization
• Transaction logging, auditability, and ledger integrity
Performance & Latency Engineering
• Low-latency sportsbook infrastructure
• API performance optimization
• Load balancing and autoscaling
Security & Threat Defense
• DDoS mitigation architecture
• Bot and automation protection
• Account takeover defense
• Secure coding and DevSecOps practices
Data & Intelligence Systems
• Data pipelines for:
o Player behavior
o Fraud scoring
o CRM triggers
• Real-time monitoring dashboards
Infrastructure & DevOps Expertise
• Cloud environments (AWS / GCP / Azure)
• Kubernetes & container orchestration
• CI/CD pipelines
• Infrastructure as Code (Terraform, Ansible)
• Observability (Prometheus, Grafana, ELK)
• Disaster recovery planning
KPIs
• Platform uptime & SLA adherence
• Betting transaction latency
• Payment success rate
• Incident recovery time
• Security incident frequency
• Deployment velocity
