Customer Reliability Engineer (SRE)

TL;DR

Customer Reliability Engineer (SRE): Managing high-severity customer incidents and building proactive reliability tooling for a global edge network with an accent on cross-layer debugging and system performance. Focus on designing AI-assisted diagnostics, automating incident response, and partnering with product engineering to ensure infrastructure stability for enterprise clients.

Location: Must be based in or able to work from Austin, Texas (Hybrid)

Company

hirify.global is a global leader in internet security and performance, protecting millions of websites and critical infrastructure through an intelligent, AI-native global network.

What you will do

• Own high-severity (Sev-1) customer incidents from initial signal to resolution, performing deep-dive debugging across the full stack.
• Build proactive detection and diagnostic tooling to identify systemic risks before they impact customers.
• Develop AI-native agents and automation to streamline incident analysis and reduce manual toil.
• Partner with Product Engineering to drive fixes, workarounds, and configuration changes based on customer-facing insights.
• Define and track reliability metrics to drive measurable improvements in error rates and resolution times.
• Provide technical leadership and knowledge transfer to support teams through pair-debugging and runbook documentation.

Requirements

• Minimum 5 years of experience in SRE, escalation engineering, or systems operations, with at least 2 years in customer-facing roles.
• Strong foundation in networking (TCP/IP, BGP, OSPF, DNS, HTTP/S, TLS) and security (Firewalls, VPN, Zero Trust).
• Proficiency in Linux command-line tools and packet analysis (Wireshark, tcpdump, strace).
• Strong scripting and automation skills in Bash and Python.
• Experience with observability stacks (Kibana, Elasticsearch, Grafana) and distributed tracing.
• Must be authorized to work in the U.S. without sponsorship for export-controlled technology.

Nice to have

• Experience with infrastructure-as-code (Terraform, Pulumi) and container orchestration (Kubernetes).
• Deep expertise in L3/L4 network infrastructure and L7 application protocols.
• Track record of applying AI/ML to production engineering workflows.
• Experience with cloud networking across AWS, Azure, or GCP.

Culture & Benefits

• Comprehensive health, dental, and vision insurance plans.
• 401(k) retirement savings plan with company participation.
• Flexible paid time off covering vacation and sick leave.
• Equity participation plan for eligible roles.
• Supportive environment focused on building a better, more secure Internet.