Define and track SLOs/SLIs for production services. Establish error budgets and reliability targets.
Build automated runbooks and self-healing systems that reduce manual intervention and MTTR
Conduct chaos engineering experiments to validate system resilience under failure conditions
Lead incident response, coordinate cross-team efforts, and facilitate blameless postmortems
Optimize system performance, cost, and resource utilization across cloud and on-prem infrastructure
Build and maintain CI/CD pipelines that enable safe, rapid deployments
3+ years in DevOps, SRE, or platform engineering roles with production responsibility
Strong scripting skills: Python, Bash, or Go for automation and tooling
Experience with CI/CD pipelines: GitLab CI, GitHub Actions, Jenkins, or ArgoCD
Proficiency with monitoring and alerting: Prometheus, Grafana, PagerDuty, or equivalent
Understanding of cloud platforms: AWS, Azure, or GCP (compute, networking, storage)
Experience with containerization: Docker, Kubernetes, or similar
Ability to troubleshoot complex distributed systems under pressure
Experience with infrastructure as code: Terraform, Pulumi, or CloudFormation
Knowledge of chaos engineering tools: Chaos Monkey, Litmus, or Gremlin
Experience with cost optimization and FinOps practices
Understanding of security best practices: secrets management, RBAC, network policies
Experience in regulated industries: finance, government, healthcare
Certifications: CKA, AWS Solutions Architect, Azure Administrator, or similar
Arabic language proficiency (written and spoken)
Technical interview (90 min): Troubleshooting production incidents. Walk through your approach to diagnosing and resolving complex issues.
Practical exercise (2-3 hours): Write automation to solve a real reliability problem. Implement monitoring, alerting, or self-healing.
System design (60 min): Design a system for reliability and observability. Discuss trade-offs and failure modes.
Cultural fit (45 min): Discuss your approach to on-call, incidents, and blameless postmortems. How do you handle production pressure?
Final round: Meet the team and discuss day-to-day collaboration
"I came from a big tech company where SRE meant firefighting. At Neurasal, we actually practice SRE principles: SLOs, error budgets, blameless postmortems. We build systems that don't need constant babysitting."
Submit your context and let's discuss production trade-offs.