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 latencyArchitect and optimise storage backends and data lake infrastructure for both live transactional routing and analytical workloadsImplement high-availability networking, API gateways, automated failover and zero-downtime routing strategiesIntegrate data validation, observability and monitoring into the pipeline lifecycle to catch bottlenecks and data drift before they reach productionDrive long-term cloud scaling, FinOps (cost optimisation), disaster recovery and system benchmarking Requirements: 5+ years in cloud infrastructure, data engineering or distributed systems architectureDeep 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 routingExpert infrastructure provisioning with TerraformContainerisation and orchestration — Docker, KubernetesSolid understanding of object storage (S3), distributed data lakes and lakehouse designFluent written and spoken English