Senior Site Reliability Engineer
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Senior Site Reliability Engineer
Team: Reliability
Location: United States
Commitment: Full-time
Workplace Type: remote
Responsibilities
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Observability & Alerting: Design and improve monitoring, logging, tracing, dashboards, and SLI/SLOs for production visibility.
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Automation & CI/CD: Build internal tools and delivery pipelines to boost efficiency, eliminate toil, and ensure reliable deployments.
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Reliability & System Quality: Drive continuous improvements in system performance, scalability, and security to mitigate customer impact.
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Incident Management: Lead production incident response from triage to resolution, turning lessons into durable runbooks and preventatives.
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Technical Leadership: Guide major technical initiatives, align cross-team engineering efforts, and manage technical risks.
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Mentorship: Elevate SRE team capability through design reviews, paired problem-solving, and incident post-mortems.
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Operations & On-Call: Join the on-call rotation while leading capacity planning and disaster recovery readiness.
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AI/ML Operationalization: Leverage operational AI/ML tools to forecast capacity risks, detect patterns, and automate system health.
Qualifications
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Experience: 8+ years in software/platform engineering or DevOps, including 5+ years dedicated to Site Reliability Engineering.
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Infrastructure & Observability: Expertise in cloud platforms (AWS), Kubernetes, IaC, and full-stack observability (tracing, logging, SLI/SLOs). Grafana, Datadog, NewRelic
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Automation & Scripting: Proficient in Python, Go, or Bash for building CI/CD pipelines, production tools, and toil-reducing automation.
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Incident Leadership: Proven track record in root cause analysis, high-severity incident response, and long-term reliability engineering.
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Leadership & Mentorship: Strong communication skills with a history of mentoring engineers, leading cross-functional projects, and setting technical strategy.
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Operational AI/ML: Hands-on experience using AI/ML on telemetry data to predict capacity risks, spot anomalies, and optimize system workflows.
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