Site Reliability Engineering Lead

Quavo Fraud & Disputes

. Establish and refine the SRE operating model with Product, Infrastructure, and Support .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $160,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Site Reliability Engineering (SRE) principles, including service-level indicators and objectives, incident response, and automation. Proficient in monitoring and alerting tools such as Datadog and Amazon CloudWatch, with a strong focus on operational excellence in SaaS environments.

Highest-signal resume keywords

Site Reliability Engineering (SRE)Monitoring Experience with DatadogIncident Response LeadershipAutomation with PythonAWS and Distributed Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SaaS OperationsProduction SupportTroubleshootingRunbooksError BudgetsService-Level IndicatorsCapacity ReviewsRoot Cause AnalysisBlameless Post-Incident ReviewMonitoring Coverage

Soft Skills

Strong CommunicationJudgmentMentoringTeam CoordinationInfluencing Senior Leaders

Tools & Technologies

DatadogAmazon CloudWatchPagerDutySnowflakeUptime.comKubernetesEKSAPIsPowerShellBash

Industry Keywords

ObservabilityProduction Readiness ReviewsMonitoring OwnershipIncident CommandComplex Workflows

Tech Stack

Tools & technologies

AWSCloudKubernetesPythonSnowflake

About the role

Key responsibilities & impact

Establish and refine the SRE operating model with Product, Infrastructure, and Support
Define alert lifecycle, severity, and response targets
Own detection end to end, including monitoring scope, alert thresholds and content, and signal quality
Tune or retire noisy monitors and maintain monitoring coverage after incidents close
Route every alert to its owning group through PagerDuty
Triage alerts with no mapped owner, assign remediation work, and verify closure
Own the monitoring and paging stack, including Datadog, Amazon CloudWatch, Snowflake-based alerting, Uptime.com, and PagerDuty
Apply software engineering to reduce toil through runbooks and automation
Run production readiness reviews and release coordination
Build the team over time and introduce SLOs, incident command, and capacity reviews
Report to the VP of Engineering and connect Product, Infrastructure, and Support

Requirements

What you’ll need

5-10 years of experience in SaaS, application operations, production support, SRE, or observability
Experience leading, mentoring, or coordinating a production operation, application support, SRE, observability, or monitoring team
Hands-on experience running customer-facing SaaS in production and troubleshooting across applications, platforms, integration, data, and cloud layers
Working knowledge of AWS and distributed architectures
Working knowledge of SRE principles: service-level indicators and objectives, error budgets, toil reduction, and blameless post-incident review
Strong monitoring experience with Datadog, Amazon CloudWatch, or similar, including dashboards, synthetic tests, alerting, and PagerDuty
Ability to establish ownership and routing across teams and influence senior leaders through escalation, with strong communication and judgment
Experience leading incident response, root cause analysis, runbooks, and corrective actions
Ability to automate diagnostics, monitoring, or remediation with Python, PowerShell, Bash, APIs, or similar tools
Preferred: experience defining and operating SLIs, SLOs, or error budgets in production
Preferred: Kubernetes/EKS and containerized application operations
Preferred: experience monitoring complex workflows, integrations, or data pipelines, including Snowflake
Preferred: experience establishing an SRE or monitoring-ownership function where none existed