Senior Cloud Data Platform Engineer

Own the cloud infrastructure, real-time data streaming and scaling of a high-concurrency gaming platform serving millions of active players. This sits at the intersection of cloud engineering and big data: low-latency distributed pipelines, resilient event-driven architecture, and zero-downtime routing layers that carry heavy transactional throughput for a money-moving system under live-betting traffic spikes. Responsibilities Design, deploy and maintain scalable cloud environments using infrastructure as code (Terraform) Build and operate real-time, event-driven data pipelines built for scale, fault tolerance and sub-second latency Architect and optimise storage backends and data lake infrastructure for both live transactional routing and analytical workloads Implement high-availability networking, API gateways, automated failover and zero-downtime routing strategies Integrate data validation, observability and monitoring into the pipeline lifecycle to catch bottlenecks and data drift before they reach production Drive long-term cloud scaling, FinOps (cost optimisation), disaster recovery and system benchmarking 5+ years in cloud infrastructure, data engineering or distributed systems architecture Deep experience building distributed data pipelines with event-driven architectures ( Apache Kafka ) and Change Data Capture (CDC) Cloud platform depth — AWS primary (GCP a plus): networking, API gateways, high availability, automated failover, zero-downtime routing Expert infrastructure provisioning with Terraform Containerisation and orchestration — Docker, Kubernetes Solid understanding of object storage ( S3 ), distributed data lakes and lakehouse design Fluent written and spoken English