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Customer Reliability Engineer

Tailscale
CompanyTailscale
CategoryEngineering
LocationRemote (United Kingdom)
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted17 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
About Tailscale  Tailscale is building the new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. Job Description If you're passionate about solving complex technical problems and helping build trust between customers and engineering, this is the role for you. We're seeking a motivated Customer Reliability Engineer to join our team. You'll take ownership of our most complex, ambiguous customer escalations, solving issues where the root cause is not always obvious. You will work these issues to resolution or alternatively a fully-documented handoff that engineering can act on without delay. As a Customer Reliability Engineer, you'll partner closely with the Customer Success Team, Support Team, and Product/Engineering to close the gap between "customer has described a problem" and "engineering has what it needs to fix it." This role reports directly to the Customer Reliability Engineer Team Lead. Key Responsibilities Own high-severity, post-sales technical escalations from intake through resolution or engineering handoff. This includes deep-dive investigations and reproduction of difficult-to-isolate bugs. Get on calls with customers, pull logs, and communicate with the customer about leading theories. Build engineering handoff packages that require minimal follow-up questions: reproducible case, log evidence (timestamps, node IDs), version matrix, impact scope, what's already been ruled out, and a proposed engineering team to own the fix. File and track issues for confirmed bugs, keeping the ticket/issue link intact so engineering retains full customer context. Monitor for patterns across escalations to catch recurring or systemic issues early; translate what you learn into product improvements, tooling, and runbooks that raise the technical bar for the whole Support org. Partner with Support, CSE, and Product/Eng, while staying within this team's scope. What We Are Looking For 4+ years in a technical support or escalation role at a SaaS or infrastructure company, with demonstrated ownership of escalated/enterprise-tier accounts. A genuine problem-solver who gets energy from untangling hard, ambiguous technical issues Comfortable owning a live, high-stakes customer call: staying calm, building trust, and communicating clearly with a frustrated or technical customer under pressure. Hands-on networking experience in production or homelab environments: TCP/IP, routing, DNS, firewalls, NAT, VPNs, load balancers. Deep familiarity with overlay networking concepts — WireGuard, UDP hole punching, STUN — and comparable VPN/networking products. Code-level debugging capability: can read Go source, reason about goroutines/locks/channels, read pprof CPU/heap profiles, and understand network interface semantics. Comfortable with infrastructure concepts: cloud IaaS, CI/CD pipelines, containerized applications, and Kubernetes debugging. Strong systems administration skills as well as troubleshooting across Linux, macOS, and Windows. Track record of independently building reproducible test cases and clear, evidence-backed bug reports engineering can act on directly. Strong technical storytelling: able to distill highly technical, ambiguous issues into clear narratives for both engineers and non-technical stakeholders. Investigative mindset; curious to analyze root cause, and evaluate all options to get customers to the best solution Proficiency with programming/scripting in Go, Python, JSON Experience with packet-level analysis As a comp
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