Mid-Level DevOps Engineer

About the role

Qureos is building an AI-native hiring platform and needs a mid-level DevOps Engineer to keep its production infrastructure reliable and scalable. You will own the systems that power AI sourcing, screening and interview pipelines used by over 1,000 customers worldwide.

Key responsibilities

• Design, deploy and manage cloud infrastructure on Google Cloud Platform, including GKE and Cloud Run.
• Build and maintain CI/CD pipelines (GitHub Actions, Cloud Run) for fast, safe code delivery.
• Implement monitoring, logging and alerting with Elasticsearch, Kibana, Prometheus and New Relic.
• Define and own SLOs/SLIs, error budgets and lead incident response as commander.
• Run blameless post-mortems and drive corrective actions to closure.
• Administer MongoDB clusters, handling backups and disaster recovery.
• Automate provisioning with Terraform, Ansible and scripting (Python/Bash).
• Participate in on-call rotation and collaborate with development, QA and engineering teams.

Required profile

• Mid-level DevOps/SRE experience with end-to-end production ownership.
• Hands-on expertise with GCP services (Compute Engine, Cloud Storage, Cloud Run, GKE).
• Strong debugging methodology and ability to reason about system failures.
• Experience with MongoDB administration and performance tuning.
• Proficiency in infrastructure-as-code (Terraform, Ansible) and CI/CD tooling.

Required skills

• Google Cloud Platform (GCP)
• Docker
• Kubernetes (GKE)
• MongoDB
• Terraform
• Ansible
• Python
• Bash
• GitHub Actions / GitHub
• Cloud Run
• Elasticsearch
• Kibana
• Prometheus
• New Relic