
1001 - 5000 employees
🎲 Gambling
🎮 Gaming
👥 B2C
Gambling • Gaming • B2C
Sky Betting & Gaming is a UK-based consumer-facing betting and online gaming operator. Now part of Flutter UK & Ireland and the wider Flutter Entertainment group, the brand is presented alongside Betfair, Paddy Power, PokerStars and tombola as a market-leading provider of trusted entertainment to millions of customers. The company emphasizes responsible play, customer experience and uses digital platforms (web and apps) to deliver betting and gaming services, with operational presence in Leeds and registration under Flutter Entertainment plc.
🕒 July 27
AWS
Cloud
Distributed Systems
GRPC
Java
Kafka
Kotlin
Kubernetes
Postgres
Redis
Spring
Spring Boot
SpringBoot
Terraform
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1001 - 5000 employees
🎲 Gambling
🎮 Gaming
👥 B2C
Gambling • Gaming • B2C
Sky Betting & Gaming is a UK-based consumer-facing betting and online gaming operator. Now part of Flutter UK & Ireland and the wider Flutter Entertainment group, the brand is presented alongside Betfair, Paddy Power, PokerStars and tombola as a market-leading provider of trusted entertainment to millions of customers. The company emphasizes responsible play, customer experience and uses digital platforms (web and apps) to deliver betting and gaming services, with operational presence in Leeds and registration under Flutter Entertainment plc.
• Design, build, and scale distributed systems using Kotlin, Java, and Spring Boot for a real-money trading platform • Develop and optimize high-throughput Kafka event pipelines, including partition strategy, consumer groups, and exactly-once processing • Build and tune low-latency data layers across Postgres, Redis, and Redis PubSub • Implement resilience patterns including backpressure handling, circuit breaking, idempotent retries, and graceful degradation • Contribute to real-time user-facing systems and solve fan-out for live market updates across tens of thousands of concurrent sessions • Partner with product and engineering leadership on technical execution, build-versus-buy decisions, and platform strategy • Establish engineering standards for observability, schema evolution, testing, and deployments through code reviews, RFCs, and documentation • Mentor junior and mid-level engineers through pairing, design reviews, and direct feedback
• 5+ years of software engineering experience focused on distributed systems and high-concurrency production environments • Expert-level proficiency in Java or Kotlin and Spring Boot • Strong command of REST, gRPC, and Protobuf API design • Deep hands-on experience with Kafka, Redpanda, or Pub/Sub, including partition strategies, consumer group rebalancing, and delivery guarantees • Ability to diagnose asynchronous messaging bottlenecks and implement idempotency, distributed caching, and exactly-once processing • Experience with Kubernetes, Helm, Terraform, and AWS cloud-native infrastructure • Production reliability experience, including on-call support and triaging distributed-system failures • Ability to influence technical direction and guide engineers through complex architectural decisions without direct authority • Experience defining SLAs, latency budgets, and throughput targets • Preferred: experience with WebSocket fan-out, server-sent events, or pub/sub at scale • Preferred: familiarity with financial platforms, real-time trading systems, or prediction markets • Preferred: experience in a high-growth startup environment
• Base salary and bonus • Full-time employment • Potential in-person onboarding or interview components, including Launching into Better: LIVE cultural immersion in New York City • Benefits information available at https://benefitsatfanatics.com/
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