Middle+ Back-End Developer (CCTV) - iGaming/Betting

Employment: Full-time

Salary: $2,900–3,500 net (depending on interview results and experience)

Probation Period: 1 month (salary during probation depends on the candidate's actual range)

About the Project

We're building a high-load betting engine with real-time interaction: round lifecycle management, outcome and payout calculation, synchronized broadcasting, and front-running protection. The stack is modern, and the challenges revolve around latency, consistency, and reliability under load.

Our Tech Stack

Node.js · TypeScript · Express 5 · PostgreSQL/Prisma · Redis · Kafka/KafkaJS · ClickHouse · WebSocket/Socket.IO · PostHog · Pino · Vitest · Docker

Responsibilities

• Design and develop the betting engine using Node.js, TypeScript, and Express 5: round lifecycle, outcome and payout calculation, idempotent operations.
• Implement the real-time layer with WebSocket/Socket.IO, featuring synchronized broadcast delays (bet-lock, front-running protection).
• Build event-driven pipelines with Kafka/KafkaJS and analytics/anti-fraud storage on ClickHouse.
• Integrate HLS feed parsing (.m3u8) and a computer vision service; implement provably-fair (commit-reveal) mechanisms.
• Work with PostgreSQL/Prisma and Redis (caching, round state management, rate-limiting); set up observability (PostHog, Pino).
• Ensure reliability: testing (Vitest), containerization (Docker/Compose), feed fault tolerance (failover, auto-void).

Requirements (must-have)

• 3+ years of back-end development experience with Node.js and TypeScript.
• Hands-on experience with real-time/WebSocket and high-load services (latency, concurrency, consistency).
• Confident work with PostgreSQL and Redis; understanding of transactions, idempotency, and race conditions.
• Experience with message brokers (Kafka or similar) and building event-driven pipelines.
• Understanding of service reliability: logging, metrics, failure handling, testing.
• Experience in the iGaming/Betting industry.

Nice to Have

• ClickHouse or other analytical/column-oriented databases; anti-fraud logic.
• Experience with video streaming (HLS/RTMP), computer vision, provably-fair/cryptography (HMAC).