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2 дня назад

Customer Reliability Engineer (SRE)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Customer Reliability Engineer (SRE): Solving complex, high-severity customer issues and building proactive reliability tooling with an accent on edge networking, security, and distributed systems. Focus on shipping AI-assisted diagnostics, automating incident response, and driving cross-functional improvements across hirify.global's global infrastructure.

Location: Hybrid, Lisbon, Portugal

Company

hirify.global is a global leader in Internet security and performance, operating one of the world's largest networks to protect and accelerate millions of websites and critical infrastructure.

What you will do

  • Own high-severity, cross-layer customer incidents from initial signal to resolution.
  • Perform deep-dive debugging across the full stack, including edge, network, DNS, and application layers.
  • Build proactive monitoring, detection, and diagnostic capabilities in partnership with Product Engineering.
  • Develop AI-native tooling and agents to automate incident analysis and reduce toil.
  • Drive measurable improvements in reliability metrics like error rates and resolution times.
  • Collaborate with Product Engineering to influence product architecture and documentation based on customer-facing insights.

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 TCP/IP, DNS, HTTP/S, TLS, and BGP routing protocols.
  • Proficiency with observability tools like Wireshark, Kibana, Elasticsearch, and Grafana.
  • Strong scripting skills in Bash and Python for automation and tooling.
  • Experience with incident management, postmortem culture, and SLO/SLI frameworks.
  • Must be based in or able to work from Lisbon, Portugal.

Nice to have

  • Expert-level Linux command-line proficiency.
  • Experience with infrastructure-as-code (Terraform, Pulumi) and container orchestration (Kubernetes).
  • Background in applying AI/ML to production engineering workflows.
  • Experience with cloud networking across AWS, Azure, or GCP.

Culture & Benefits

  • Mission-driven culture focused on building a better, more secure Internet.
  • Opportunity to work on critical infrastructure used by governments, banks, and media companies.
  • Emphasis on AI-native engineering and continuous iteration.
  • Commitment to diversity, inclusion, and equal opportunity employment.

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