Manager, Site Reliability Engineering

Location: Sofia, Bulgaria; hybrid

Company

hirify.global is a travel technology company developing AI-driven airline retailing and intelligent offer and revenue optimization solutions.

What you will do

• Lead and mentor the Site Reliability Engineering team while promoting reliability, accountability, and continuous improvement.
• Develop strategies for multi-cloud reliability, monitoring, incident response, and system performance.
• Drive automation for deployment processes, infrastructure as code, configuration management, and operational efficiency.
• Manage observability for logging, metrics, and alerting, and establish SLOs, SLIs, and SLAs.
• Oversee root cause analysis and post-mortem processes, and promote SRE and DevOps best practices.
• Ensure high availability and disaster recovery, while optimizing cloud infrastructure costs.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, or a related field.
• 7+ years of experience in software engineering, SRE, or DevOps, including at least 3 years in a managerial or leadership role.
• Strong knowledge of Azure, AWS, IBM Cloud, Docker, and Kubernetes.
• Experience with Terraform, Ansible, Puppet, The Foreman, Prometheus, Grafana, PagerDuty, and Graylog.
• Programming and scripting skills in Python, Go, Bash, or similar languages, plus expertise in CI/CD and modern deployment strategies.
• Strong analytical, problem-solving, communication, and leadership skills.

Nice to have

• Experience with large-scale distributed systems and customer-facing, high-availability production environments.
• Knowledge of networking, security, compliance best practices, incident response, and the ITIL framework.
• Understanding of core AI concepts, prompt engineering, agentic AI systems, and AI productivity tools.

Culture & Benefits

• Flexible ways of working and support for continuous learning.
• Culture focused on care, innovation, ownership, accountability, and customer success.
• Opportunity to contribute to AI-driven airline retailing and revenue optimization.