Senior Cloud Data Platform Engineer

CommIT Warsaw, Masovian Voivodeship, Poland

Software Development · 501-1,000 employees

6 h ago

Senior (5-10 yrs) Full-time Poland

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About the role

Design, deploy, and maintain scalable cloud environments and real-time, event-driven data pipelines. Optimize storage backends, ensure high-availability networking, and drive long-term cloud scaling and cost optimization.

What they look for

Cloud Infrastructure Data Engineering Distributed Systems Terraform Apache Kafka Change Data Capture AWS API Gateways Docker Kubernetes Object Storage Data Lakes FinOps System Benchmarking Event-driven Architecture

Requirements

Requires 5+ years of experience in cloud infrastructure, data engineering, or distributed systems architecture. Must have deep expertise in AWS, Terraform, Apache Kafka, and containerization technologies like Docker and Kubernetes.

Full description

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

Requirements

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