CTO

Chief Technology Officer (CTO)

• Responsibilities
• Technology Strategy & Platform Development:
• Develop and implement the companys long-term technical strategy.
• Design a scalable high-load architecture capable of supporting millions of active users.
• Optimize and accelerate real-time betting processing (low-latency solutions).
• Introduce a data-driven approach and innovations (Machine Learning, AI, Big Data).
• Architecture & Infrastructure:
• Develop a robust backend architecture with microservices support.
• Implement an event-driven system (Kafka, WebSockets) for fast event processing.
• Load balancing and efficient caching (Redis, CDN).
• Optimize databases (PostgreSQL, ClickHouse, NoSQL storage) for analytics and betting.
• Work with cloud-native solutions (AWS/GCP, Kubernetes).
• Team Management:
• Lead the technical department (development, DevOps, QA, Data Science) 50+ engineers.
• Build a strong engineering culture and processes (CI/CD, DevSecOps).
• Recruit and attract top engineering talent.
• AI, Machine Learning & Big Data:
• Develop AI models for personalized betting and user behavior analytics.
• Implement fraud detection systems to identify suspicious bets and anomalies.
• Use ML models for odds prediction and risk management.
• Information Security:
• Secure financial transactions and combat fraud.
• Implement DDoS protection, data encryption (TLS, AES).
• Ensure compliance with PCI DSS, GDPR, and other regulatory requirements.
• Fintech & Integrations:
• Develop a multi-currency platform with crypto and fiat payment integration.
• Connect and optimize payment gateways (Stripe, Adyen, PayPal, crypto wallets).
• Optimize fee structures and transaction processing speed.
• Key Competencies & Requirements

Experience & Leadership Skills:

• 5+ years as a CTO / VP of Engineering in high-load products (betting, fintech, gaming, e-commerce).
• Experience managing large R&D teams (50+ engineers).
• Proven expertise in distributed systems architecture.
• Technical Knowledge:
• Deep understanding of high-load platforms and event-driven architecture.
• Performance optimization: low-latency solutions, load balancing.
• Fintech: payment gateway integration, crypto payments.
• Security: DDoS protection, fraud detection, compliance.
• Big Data / ML Expertise:
• Machine Learning: development of models for betting prediction and fraud detection.
• Big Data analytics for processing millions of real-time transactions.
• Business Orientation:
• Ability to align technical expertise with business goals.
• Experience in financial management overseeing the technical budget.
• Strong decision-making skills in crisis situations.