Senior Site Reliability Engineer – SRE

🕒 Agosto 4

🇪🇸 Espanha – Remoto

💵 €70.000 - €115.000 / ano

⏰ Tempo Integral

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

👻 Score fantasma 2%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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QAD

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1979

🏭 Manufatura

📦 Logística

🍽️ Alimentos e Bebidas

Manufacturing • Logistics • Food & Beverage

A QAD é uma empresa especializada em soluções de planejamento de recursos empresariais e transformação industrial. Sua plataforma Adaptive Enterprise ajuda as empresas a otimizar processos, alinhar pessoas com tecnologia e gerenciar desafios empresariais críticos. As ofertas da QAD incluem software para manufatura, gestão de inventário, planejamento de cadeia de suprimentos, gestão da qualidade e conformidade com o comércio global. Suas soluções atendem uma variedade de indústrias, incluindo automotiva, produtos de consumo, alimentos e bebidas, manufatura industrial e mais. A empresa foca em se tornar uma empresa adaptável integrando agendamentos avançados e insights baseados em dados.

Descrição

• Design, implement, and maintain highly available, scalable, and resilient systems • Serve as a subject matter expert for observability, including monitoring, alerting, logging, tracing, dashboards, and synthetic testing • Develop maintainable software and self-service tooling to automate operational tasks and improve reliability • Identify and eliminate operational toil through automation, process improvements, and systematic problem solving • Lead incident response, participate in on-call rotations, and drive blameless post-mortems • Define, implement, and track SLIs, SLOs, and error budgets • Leverage infrastructure as code, GitOps practices, and CI/CD automation using Terraform, Flux, and GitHub Actions • Provide reliability expertise during system design reviews and influence architectural decisions • Document processes, build runbooks, and mentor engineers across the organisation • Use AI responsibly to accelerate investigations, improve documentation, reduce toil, and build intelligent operational workflows • Collaborate across infrastructure, applications, networking, identity, and observability domains • Drive meaningful follow-up actions and continuous reliability improvements

🎯 Requisitos

• Demonstrated experience operating and improving production systems at scale in an SRE, Production Engineering, or Platform Engineering role • Ability to build accurate mental models of complex distributed systems across infrastructure, applications, networking, identity, and observability • Strong troubleshooting skills and evidence-driven incident response and root cause analysis • Experience defining and using SLIs, SLOs, and error budgets • Excellent written and verbal communication skills • Experience with Kubernetes, including Amazon EKS, and service mesh technologies such as Istio • Experience with AWS cloud infrastructure and services • Experience with identity and access management systems, including Auth0 and AWS IAM • Knowledge of DNS, load balancing, routing, TLS, and connectivity troubleshooting • Experience with GitOps workflows and infrastructure automation using Flux and Terraform • Experience with observability platforms and practices, including metrics, logs, traces, alerting, dashboards, and synthetic monitoring • Experience with CI/CD systems and engineering workflows • Experience with application logging and distributed system debugging • Strong scripting and automation skills • Ability to build and maintain automation, tooling, and self-service capabilities using Python, Go, or Bash • Ability to remain calm and effective during high-severity incidents • Ability to manage complex situations involving multiple teams and competing priorities • Ability to lead blameless post-mortems and drive follow-up actions • Effective use and validation of AI assistants for troubleshooting, root cause analysis, and operational decision-making

🏖️ Benefícios

• Fully remote work • Opportunities for growth • Equal opportunity and inclusive work environment • Diversity, equity, and inclusion program • Human oversight, security, and governance when using AI