Infrastructure Engineer (AI)

Location: Georgian office; in-person role

Company

hirify.global is an international software development company building custom AI solutions, cloud and data infrastructure, and augmented engineering teams for FinTech, HealthTech, AdTech, and other clients.

What you will do

• Maintain the reliability, availability, performance, security, and cost-efficiency of hirify.global and customer production systems.
• Monitor systems, respond to alerts and support requests, diagnose issues, and operate Kubernetes workloads and Databricks resources using established playbooks.
• Administer Linux and Windows servers and support production infrastructure across cloud and on-prem environments.
• Coordinate incident triage, mitigation, root-cause analysis, post-incident reviews, and customer communication.
• Improve observability through metrics, logs, traces, dashboards, alerting, and SLO tracking.
• Build automation for ticket triage, runbook execution, log analysis, knowledge-base maintenance, and other routine operational tasks using AI agents.

Requirements

• At least 3 years of hands-on Linux system administration experience and at least 2 years of production AWS experience.
• Working familiarity with Kubernetes and AWS Databricks, including workload operation, job execution, cluster management, log reading, and troubleshooting with playbooks.
• Practical experience using AI agents or LLM-based tools for operational, scripting, or support automation.
• At least 1 year of Windows system administration experience and 1+ year of practical scripting with Python, Bash, or Go.
• Experience with CI/CD pipelines, Git workflows, Docker, and production IT infrastructure.
• Participation in a 24/7 shift schedule and professional customer support through Slack, email, or Zendesk.

Nice to have

• Infrastructure as Code with Terraform, Ansible, or CloudFormation.
• Observability tools such as Prometheus, Grafana, ELK/Loki, Datadog, or CloudWatch.
• Networking, cloud security, database operations, incident management, or data-platform experience.
• MCP servers, prompt-based automations, AI-driven runbooks, or additional GCP or Azure experience.

Culture & Benefits

• Professional development opportunities and a clear career path.
• Social benefits package, company equipment, gym membership, and English lessons.
• Flexible vacation time and inclusive in-person and digital events.
• International IT environment with a structured performance management system.