Senior Cloud Data Platform Engineer

Commit; Warszawa; On-site; PLN 260,000 - 420,000; Full time

Job summary

Commit is seeking an accomplished Cloud Infrastructure Architect to own the cloud stack for a high-concurrency gaming platform, delivering low-latency streaming and zero-downtime routing. You will design and deploy scalable environments with Terraform, build real-time data pipelines around Kafka, manage data lakes, and drive cost optimisation and disaster recovery strategies.

Fluent English is required, and the role is based in Warsaw with on-site collaboration across global teams, focusing on

Qualifications

• 5+ years in cloud infrastructure, data engineering or distributed systems architecture.
• Experience building distributed data pipelines with event-driven architectures (Kafka) and CDC.
• Proficiency with Terraform, Docker, Kubernetes and AWS.
• Fluent written and spoken English.

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

Skills

Cloud infrastructure

Distributed systems

Real-time data streaming

Event-driven architecture

FinOps / cost optimisation

English proficiency

Tools

Terraform

Docker

Kubernetes

Apache Kafka

AWS

S3

Job 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