Senior Site Reliability Engineer

Job summary

Leads reliability engineering for cloud-native platforms and production services, improving availability, resilience, and operational excellence. The role spans AWS, Azure, and Kubernetes; SRE practices such as SLIs, SLOs, and Error Budgets; and observability using Datadog, Splunk, Grafana, OpenTelemetry, and Prometheus. It also includes Terraform and CI/CD automation, incident response, root cause analysis, and mentoring engineers.

Benefits

Qualifications

• 7+ years of experience in SRE, DevOps, Platform Engineering, Cloud Engineering, or Software Engineering.
• 4+ years of hands-on cloud infrastructure experience with AWS, Azure, or GCP.
• 3+ years managing production Kubernetes platforms, including EKS, AKS, or GKE.
• 3+ years of Infrastructure as Code experience using Terraform or equivalent technologies.
• 3+ years of experience with observability and monitoring platforms.
• 3+ years implementing monitoring, logging, distributed tracing, alerting, SLIs, SLOs, and Error Budgets.
• 3+ years building and supporting CI/CD pipelines.
• 3+ years of scripting and automation experience with Python, Bash, PowerShell, or similar languages.
• Ability to participate in rotating on-call support.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

Responsibilities

• Lead SRE practices, including SLIs, SLOs, and Error Budgets.
• Design, deploy, and support scalable, resilient cloud-native platforms across AWS, Azure, and Kubernetes.
• Build and maintain observability solutions, dashboards, alerting, and reliability metrics.
• Lead production incident response, root cause analysis, and remediation.
• Develop Infrastructure as Code and automation using Terraform and related technologies.
• Build self-healing capabilities to reduce operational toil and accelerate incident resolution.
• Partner with engineering, architecture, security, and platform teams to improve production readiness, reliability, scalability, and performance.
• Support Kubernetes container platforms and production microservices.
• Implement CI/CD and GitOps practices using tools such as GitHub Actions, ArgoCD, and Azure DevOps.
• Advance AI-enabled operational capabilities, including anomaly detection and intelligent alerting.
• Mentor engineers in SRE, observability, automation, and cloud-native practices.

Skills

Certifications

Degrees

Languages

Work schedule

Industry

Relocation