SentinelOne · 6 hours ago

Principal Engineer, Site Reliability Engineering - Observability

United States

Full-time

Remote

Lead/Staff

$204K/yr - $281K/yr

15+ years exp

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No H1B

U.S. Citizen Only

Security Clearance Required

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Responsibilities

Design and guide the implementation of end-to-end alert correlation, auto-triage, and auto-remediation frameworks that meet the needs of a microservices-based SaaS architecture.

Ensure solutions align with business priorities and customer impact goals.

Define, implement, and monitor SLOs in collaboration with product and engineering teams.

Establish reliability standards that meet business and customer expectations, driving accountability and transparency around service performance.

Partner with software engineers, SREs, and data scientists to implement and refine monitoring, alerting, alert correlation, auto-remediation, and SLO solutions.

Lead initiatives to promote best practices and knowledge sharing across all of SentinelOne engineering.

Mentor engineers and contribute to a culture of reliability engineering excellence through thought leadership and guidance on advanced SRE principles and practices.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SRE ExperienceIncident ManagementAlert CorrelationAutomated TriageSelf-Healing StrategiesSLO FrameworksObservability PlatformsPythonGoJavaMachine LearningData AnalysisAWSGCPAzureKubernetesTerraform

Required

U.S. Citizenship is required for this position.

Proven experience in architecting and implementing SRE solutions at scale within a microservices or distributed systems environment.

15+ years of progressive professional experience, with 5+ years of recent experience supporting enterprise SaaS environments (or equivalent combination of education, experience, and certifications).

Deep knowledge of incident management, alert correlation, automated triage, self-healing strategies, and SLO frameworks.

Strong understanding of observability platforms, including monitoring, logging, and tracing solutions.

Proficient in one or more programming languages (e.g., Python, Go, Java) with experience in automation and scripting for incident management workflows.

Experience with machine learning, anomaly detection, or data analytics techniques for real-time alert correlation and triage systems.

Expertise in cloud platforms (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes), with experience in infrastructure-as-code (e.g., Terraform).

Ability to make critical architectural decisions with a focus on business impact, reliability, and system performance.