This is a chance to work on cutting-edge cloud, security, and AI technologies while shaping how intelligent systems are deployed and protected at scale.

Requirements:

• 5+ years in cloud engineering, site reliability engineering (SRE), Linux systems engineering, or related roles.
• Extensive background in Linux administration : performance tuning, patching, automation, troubleshooting, and securing production environments.
• Proven experience with AWS & Azure services and managing multi-cloud environments .
• Knowledge of IT security best practices , including identity and access management, encryption, vulnerability management, and secure networking.
• Experience in load balancing solutions for scalability and high availability.
• Strong knowledge of networking concepts , including firewalls, routing, and packet inspection.
• Hands-on experience planning and executing cloud migration projects .
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Experience with configuration management tools : Salt, Ansible, Puppet, or Chef.
• Proficiency with CI/CD pipelines (Jenkins, GitHub Actions, or similar).
• Understanding of compliance standards (SOC 2, ISO 27001, GDPR).
• Excellent problem-solving and communication skills , with the ability to collaborate across teams.
• Experience with MLOps pipelines , ML model deployments, or AI/ML workflow orchestration.
• Relevant AWS, Azure, or Security certifications .
• Bachelor’s degree in Computer Science, IT, Cybersecurity, or related field.

Job Responsibilities:

• Design, implement, and maintain secure, scalable, and reliable cloud infrastructure on AWS and Azure.
• Proactively identify and remediate security risks in infrastructure and application deployments.
• Manage and optimize multi-cloud deployments , supporting mission-critical workloads.
• Build and enhance Infrastructure as Code (IaC) frameworks, particularly with Terraform.
• Collaborate with DevOps, development, and data science teams to ensure seamless integration of CI/CD pipelines .
• Enable AI/ML workloads with automated pipelines for training, deployment, and monitoring of machine learning models.
• Implement cloud security controls : IAM policies, encryption, key management, secrets management, firewall and WAF configuration, intrusion detection/prevention, and DDoS protection.
• Monitor and optimize system performance, ensuring high availability, reliability, and security.
• Lead and execute cloud migration strategies , ensuring resilience and compliance.
• Champion a DevSecOps culture , embedding security into every stage of the software and infrastructure lifecycle.

Job Benefits:

• Competitive salary and comprehensive benefits package.
• Opportunity to work at the intersection of SRE, security, and AI/ML operations .
• A chance to make a significant impact on the reliability and security of next-generation platforms.
• Collaborative, innovative, and supportive work environment.
• Professional development opportunities, including security certifications and advanced training.
• Flexible remote/hybrid working (Dublin office, 2 days per week).