Site Reliability Engineer
Skills
About This Role
Overview
Role overview
Design, build, and operate reliable, scalable production systems by applying software engineering to operations: automate toil, improve observability, manage incidents, and enable fast, safe delivery of features.
Key responsibilities
- Build and maintain robust production infrastructure and automation for deployment, scaling, and recovery.
- Implement and operate CI/CD pipelines, release orchestration, and infrastructure-as-code (Terraform/CloudFormation).
- Develop monitoring, alerting, tracing, and dashboards (Prometheus, Grafana, ELK, OpenTelemetry) to maintain SLIs/SLOs and error budgets.
- Lead incident response, runbooks, post-incident reviews, and implement corrective actions to reduce MTTR.
- Automate operational tasks and capacity management with tooling and scripts (Python, Go, Bash).
- Improve system reliability via chaos engineering, load testing, and performance tuning.
- Manage container orchestration platforms (Kubernetes/EKS/GKE/AKS) and platform components.
- Collaborate with development teams to improve service observability, deployment safety, and scalability.
- Enforce security best practices in runtime environments: secrets management, access controls, and vulnerability remediation.
- Mentor engineers on reliability patterns, runbook creation, and on-call practices.
- Required skills & qualifications
- Degree in Computer Science or related experience; 3–7+ years in SRE/DevOps/Platform engineering (mid–senior).
- Hands-on experience with cloud platforms (AWS/Azure/GCP), IaC (Terraform), and CI/CD tooling.
- Strong Linux systems, networking, and container orchestration (Kubernetes) knowledge.
- Proficiency in scripting/programming (Python, Go, or Bash) and automation.
- Experience with observability stacks, incident management, and capacity planning.
- Familiarity with security controls, secrets management, and compliance considerations.
- Excellent troubleshooting, system design, and cross-team communication skills.
Desirable
- Experience with service meshes, policy-as-code, chaos engineering tools, and platform engineering frameworks.
- Certifications (CKA, cloud certs) and exposure to large-scale distributed systems.
Typical metrics / KPIs
- Service availability / SLO compliance and MTTR.
- Change failure rate and deployment lead time.
- Automation coverage (reduction in manual incidents) and operational cost efficiency.
- Mean time between failures and number of post-incident action items closed.
- الراتب المدفوع: QAR٤٥٫٠٠ لكل ساعة
- موقع العمل: بشكل شخصي
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