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Senior Customer Reliability Engineer
Cloudflare. Own high-severity, cross-layer customer incidents end-to-end, from first signal through confirmed resolution .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in site reliability engineering with a strong foundation in networking and security, proficient in automation and scripting, and capable of managing high-severity incidents while improving customer reliability metrics. Engages effectively with cross-functional teams and enterprise customers to drive technical solutions and enhance operational workflows.
Highest-signal resume keywords
Site Reliability EngineeringNetworking And SecurityAutomation And ScriptingIncident ManagementTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
TCP/IPDNSBash ScriptingPython ScriptingSQLLinux Command-Line ToolsAI/ML ApplicationData AnalysisDistributed TracingZero Trust Architecture
Soft Skills
Excellent CommunicationMentoringProblem-SolvingCross-Team CollaborationComposure Under Pressure
Tools & Technologies
WiresharkTcpdumpKibanaElasticsearchGrafanaTerraformPulumiKubernetesDockerCI/CD Pipelines
Industry Keywords
Cloudflare ProductsEdge NetworkingCDNDDoS MitigationIncident ReviewsPostmortem CultureSLO/SLI-Based ReliabilityCustomer-Facing EnvironmentsTechnical EscalationOperational Workflows
Tech Stack
Tools & technologiesDNSDockerElasticSearchFirewallsGrafanaKubernetesLinuxPythonSMTPSQLSwitchingTCP/IPTerraform
About the role
Key responsibilities & impact- Own high-severity, cross-layer customer incidents end-to-end, from first signal through confirmed resolution
- Reproduce defects, isolate root causes across Cloudflare infrastructure and customer stacks, drive fixes with Product Engineering, and confirm resolution
- Hold on-call for high-severity incidents as part of a global shift rotation, including weekends
- Build telemetry pipelines, detectors, diagnostic tooling, and automation that identify or prevent customer issues and reduce support toil
- Analyze support and telemetry signals across the customer base to identify systemic risks
- Define customer-facing reliability metrics and drive measurable improvement
- Write automation to reduce mean-time-to-detect and mean-time-to-resolve
- Partner with Product Engineering and platform teams on fixes, workarounds, configuration changes, and product capabilities
- Prototype and deploy AI agents and tooling for incident pre-diagnosis, log and configuration retrieval, and evidence-based root-cause proposals
- Manage technical escalation lifecycles and represent customer reliability in engineering syncs, incident reviews, and postmortems
- Raise Customer Support’s technical capabilities through pair-debugging, knowledge transfer, shared tooling, runbooks, knowledge bases, and AI skills
- Maintain deep expertise across Cloudflare products including edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and the developer platform
- Serve as a subject-matter expert and anticipate customer impact from releases and architecture changes
Requirements
What you’ll need- Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments
- Strong foundation in networking and security, including TCP/IP, OSI model, IPv4/IPv6, subnetting, routing, switching, DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP, BGP, OSPF, firewalls, NAT, ACLs, VPNs, encryption, and Zero Trust architecture
- Proficiency with Wireshark, tcpdump, Kibana, Elasticsearch, Grafana, and distributed tracing
- Strong Bash and Python scripting and automation skills
- Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices
- SRE, DevOps, or platform engineering experience with direct customer-facing accountability
- Deep expertise at L3/L4 and L7
- Expert-level proficiency with Linux command-line tools including curl, dig, git, traceroute, mtr, strace, and ss
- Data-at-scale analysis using SQL, PromQL, or equivalent
- Familiarity with CI/CD pipelines, infrastructure-as-code such as Terraform and Pulumi, and container orchestration such as Kubernetes and Docker
- Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency
- Demonstrated technical leadership, mentoring, cross-team initiatives, and influencing outcomes without direct authority
- Experience applying AI/ML to production engineering or operational workflows
- Comfort engaging directly with enterprise customer engineering teams during incidents
- Excellent written and verbal communication; ability to convey complex technical information clearly
- Comfort owning ambiguous, cross-layer problems and maintaining composure during high-severity incidents
Benefits
Comp & perks- Equity plan participation
- Medical/Rx Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Accounts
- Commuter Spending Accounts
- Fertility & Family Forming Benefits
- On-demand mental health support and Employee Assistance Program
- Global Travel Medical Insurance
- Short and Long Term Disability Insurance
- Life & Accident Insurance
- 401(k) Retirement Savings Plan
- Employee Stock Participation Plan
- Flexible paid time off covering vacation and sick leave
- Leave programs, including parental, pregnancy health, medical, and bereavement leave