Senior Cloud SRE - Infrastructure & Platform Resilience

GCS Recruitment; Ireland; Hybrid; EUR 65,000 - 105,000; Full time

Job summary

GCS Recruitment is hiring experienced Site Reliability Engineers to support the evolution of large-scale cloud platforms used globally across production environments. This hybrid Dublin role emphasizes cloud infrastructure, systems engineering and platform reliability over traditional Kubernetes-centric tasks.

You will engineer highly available cloud infrastructure, drive automation across provisioning, deployment and incident analysis, and develop Python-based tools to improve reliability

Qualifications

• Strong cloud infrastructure experience across AWS, Azure or GCP.
• Experience operating customer-facing or business-critical platforms.
• Proven automation expertise.
• Strong Linux and systems engineering knowledge.
• Experience writing production-quality Python code.
• Understanding of infrastructure scalability and performance.
• Desirable: Kubernetes, Infrastructure as Code, Go or Rust, Platform Engineering methodologies, AI-assisted engineering workflows.

Responsibilities

• Engineer highly available cloud infrastructure platforms.
• Improve reliability, resilience and operational excellence.
• Drive automation across provisioning, deployment and operational workflows.
• Develop tools and services using Python and modern scripting technologies.
• Support multi-region production environments.
• Participate in incident analysis and root cause investigations.
• Reduce operational overhead through automation and engineering improvements.

Skills

Cloud infrastructure

Python development

Linux systems

Automation

Customer-facing platforms

Kubernetes (desirable)

Go or Rust (desirable)

Job description

GCS Recruitment is hiring experienced Site Reliability Engineers to support the evolution of large-scale cloud platforms used globally across production environments. This hybrid Dublin role emphasizes cloud infrastructure, systems engineering and platform reliability over traditional Kubernetes-centric tasks.

You will engineer highly available cloud infrastructure, drive automation across provisioning, deployment and incident analysis, and develop Python-based tools to improve reliability