Site Reliability Engineer (SRE) (Observability)

TL;DR

Site Reliability Engineer (Observability): Maintaining the reliability, performance, and operational integrity of enterprise-grade infrastructure and observability pipelines with an accent on Grafana, Loki, Prometheus, and AI-driven automation. Focus on building automation and AI workflows for incident analysis, optimizing SLIs/SLOs, and operating large-scale distributed systems.

Location: Sofia, Bulgaria

Company

hirify.global is the first AI-driven digital work platform, providing integrated solutions for Unified Endpoint Management, Virtual Apps, and Security to support flexible, secure work-from-anywhere experiences.

What you will do

• Design, deploy, and maintain observability pipelines using Loki, Grafana, and Prometheus to expand logging, metrics, and tracing coverage.
• Build and refine AI-driven automation workflows for incident analysis and auto-remediation.
• Drive platform reliability through capacity planning, performance optimization, and root cause analysis based on SLIs/SLOs.
• Participate in a global on-call rotation to manage incidents and lead post-mortem reviews.
• Operate and improve internal clouds, including vCF, CloudStack, Proxmox, and Kubernetes clusters.
• Utilize Atlassian tools (Jira, Confluence, Opsgenie) for task, change, and incident management.

Requirements

• Hands-on expertise with Grafana, Loki, Tempo, and Prometheus.
• Proficiency in at least one scripting or programming language.
• Experience with configuration management tools such as Ansible or SaltStack.
• Strong Linux skills and experience operating large-scale, highly available distributed systems.
• Familiarity with Kubernetes, CI/CD, and Infrastructure as Code (IaC).
• Ability to participate in on-call rotations and take leadership during incidents.

Nice to have

• Exposure to AI orchestration tooling like Ollama or n8n.
• Experience with S3 or open-source object stores such as Ceph or SeaweedFS.
• Knowledge of virtualization stacks including Proxmox, vSphere/vCF, and CloudStack.
• Background in SRE culture, specifically SLIs/SLOs and error budgeting.

Culture & Benefits

• Work within an AI-driven environment focusing on autonomous workspaces and operational efficiency.
• Culture guided by values of trust, inclusiveness, and maximizing customer value.
• Commitment to a diverse and merit-based workforce with equal opportunities for all.
• Exposure to cutting-edge AI tools for incident diagnosis and platform operations.