CloudOps Engineer (AI)

Location: Budapest; hybrid working model

Company

hirify.global operates a video advertising platform and a modern, AI-focused technology environment supporting a data platform and engineering organization.

What you will do

• Design, develop, document, and operate scalable cloud infrastructure and cloud monitoring solutions.
• Automate manual operations, infrastructure builds, configuration management, deployments, and recurring operational tasks.
• Monitor production environments, respond to infrastructure and production incidents, and provide Tier 3 support.
• Perform troubleshooting, root-cause analysis, incident reporting, and corrective and preventive actions.
• Investigate recurring live-application issues with developers and support bug triage and resolution.
• Maintain reliability, security, scalability, performance, and continuous improvement across cloud and on-premises systems.

Requirements

• At least 5+ years of hands-on CloudOps/DevOps experience, including Git, CI/CD environments, and system automation.
• Strong PowerShell experience and proficiency with other programming or scripting languages such as Python, Bash/Shell, Java, JavaScript, and/or Node.js.
• Experience with Jenkins, Ansible, and Terraform.
• Hands-on AWS experience, preferably in a large-scale enterprise system.
• Understanding of Docker, Kubernetes, container technology, security architecture, source control, and change management.
• Knowledge of monitoring and alerting tools such as Datadog, Grafana, and Zabbix, plus log management tools including OpenSearch, ELK Stack, and CloudWatch.
• Strong Linux and Windows Server administration skills, including complex production troubleshooting, performance tuning, patch management, security hardening, and system optimization.
• Ability to create and maintain technical references through API integrations or static intranet articles, including diagrams, spreadsheets, and checklists.
• Customer-focused, creative, resourceful, systems-oriented problem solving; strong written and oral communication; and the ability to prioritize and multitask in a fast-paced environment.

Culture & Benefits

• Cafeteria package and Medicover private healthcare.
• Hybrid working model in Budapest.
• Opportunity to shape and grow a newly building team.
• International environment with collaboration across global teams.
• Close collaboration with a recognized US-based AI expert.
• High ownership and the opportunity to influence the data platform and engineering organization.