Senior Cloud Data Platform Engineer

Posted 22 Days Ago
Be an Early Applicant
Hiring Remotely in Poland
Remote or Hybrid
Senior level
Information Technology • Software
The Role
Owns cloud infrastructure, real-time event-driven data pipelines, distributed storage, networking, and high-availability systems for a high-concurrency gaming platform. Designs Terraform-managed AWS environments, Kafka and CDC pipelines, data lakes, API gateways, automated failover, zero-downtime routing, observability, disaster recovery, cost optimization, and scaling strategies for live-betting transactional workloads.
Summary Generated by Built In
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

Skills Required

  • 5+ years of experience in cloud infrastructure, data engineering, or distributed systems architecture
  • Deep experience building distributed data pipelines using event-driven architectures and Apache Kafka
  • Experience with Change Data Capture (CDC)
  • Deep AWS cloud platform experience, including networking, API gateways, high availability, automated failover, and zero-downtime routing
  • GCP experience
  • Expertise provisioning infrastructure with Terraform
  • Experience with Docker and Kubernetes
  • Understanding of Amazon S3, distributed data lakes, and lakehouse design
  • Fluent written and spoken English
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The Company
HQ: Petaling Jaya
399 Employees
Year Founded: 2005

What We Do

Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Cloud, GenAI, Software, IoT, Big Data, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.

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