Senior Cloud Engineer – Cloud Architect

Jobtailor; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

Jobtailor in Ireland is seeking a senior cloud/platform engineer to design and implement cloud-native architectures on Azure, supporting data platforms, APIs and microservices. You will partner with Data and API teams to ensure scalability, reliability and performance across environments.

Role involves hands-on containerization with Docker and Kubernetes, IaC with Terraform and Bicep (ARM), and building secure, observable platforms with IAM, networking, and monitoring.

Qualifications

• 8–12 years of cloud engineering or platform experience.
• Deep Azure expertise; AWS/GCP experience is a plus.
• Hands-on IaC with Terraform, Bicep, and ARM.
• Experience with Docker and Kubernetes for containerized platforms.
• Knowledge of networking, IAM, security and distributed systems.
• Experience with data platforms (Databricks, Spark) and API ecosystems.
• Familiarity with platform engineering concepts and internal developer platforms (IDPs).

Responsibilities

• Design and implement cloud-native architectures on Azure to support data platforms, APIs, and microservices.
• Build and manage IaC using Terraform, Bicep, or similar tools.
• Develop and optimize CI/CD pipelines and DevOps workflows for infrastructure and platform services.
• Architect and implement secure cloud environments, including IAM, networking, encryption, and policy controls.
• Partner with Data and API Engineering teams to ensure platform scalability, reliability, and performance.
• Lead hands‑on implementation of containerization and orchestration solutions (Docker, Kubernetes).
• Establish and enhance observability practices including logging, monitoring, and alerting.
• Drive cloud cost optimization (FinOps), including rightsizing, scaling strategies, and usage monitoring.
• Troubleshoot complex infrastructure and platform issues across environments.
• Establish governance and operational models across platform architecture, design and operations.
• Direct, review and govern partner execution and deliverables.

Skills

Cloud engineering

Azure

DevOps

CI/CD

Observability

Networking

Tools

Terraform

Bicep

ARM

Docker

Kubernetes

Prometheus

Grafana

Azure Monitor

Databricks

Spark

Job description

Responsibilities

• Design and implement cloud-native architectures on Azure (preferred) to support data platforms, APIs, and microservices.
• Build and manage infrastructure-as-code (IaC) using Terraform, Bicep, or similar tools.
• Develop and optimize CI/CD pipelines and DevOps workflows for infrastructure and platform services.
• Architect and implement secure cloud environments, including IAM, networking, encryption, and policy controls.
• Partner with Data and API Engineering teams to ensure platform scalability, reliability, and performance.
• Lead hands‑on implementation of containerization and orchestration solutions (Docker, Kubernetes).
• Establish and enhance observability practices including logging, monitoring, and alerting.
• Drive cloud cost optimization (FinOps), including rightsizing, scaling strategies, and usage monitoring.
• Troubleshoot complex infrastructure and platform issues across environments.
• Establish governance and operational models across platform architecture, design and operations.
• Direct, review and govern partner execution and deliverables.

Requirements

• 8–12 years of experience in cloud engineering, infrastructure, or platform engineering.
• Deep expertise in Azure (AWS/GCP experience is a plus).
• Strong hands‑on experience with infrastructure-as-code (Terraform, Bicep, ARM).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Strong understanding of networking, security, IAM, and distributed systems.
• Experience building and supporting production‑grade cloud platforms.
• Preferred AZ-305 or equivalent certification.
• Experience supporting data platforms (Databricks, Spark) and API ecosystems.
• Familiarity with platform engineering concepts and internal developer platforms (IDPs).
• Experience with observability tools (Prometheus, Grafana, Azure Monitor, etc.).
• Experience in regulated environments (e.g., healthcare).