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Fundraise Up, Inc. ищет опытного DevOps-инженера/SRE для глобальной инфраструктуры. Вы возьмёте владение одной из ключевых платформ: observability или CI/CD, ответите за архитектуру, надежность и дорожную карту, а также за развёртывания и мониторинг в Kubernetes.
Требуется знание Linux, Prometheus/Grafana, Jenkins, Harbor/Nexus, Helm, Kubernetes; опыт работы в on-call и наставничество приветствуется. Удалённая работа в международной команде.
We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. On a busy giving day, ten minutes of downtime can cost around $500k — we need the engineer who makes sure it doesn't happen. You'll join the DevOps team that owns the platforms every engineering team relies on daily: CI/CD, observability, logging and developer tooling.
Own one of our core platform areas end-to-end: observability (VictoriaMetrics, Grafana, Graylog / VictoriaLogs, fluent bit, exporters, alerting) or CI/CD (Jenkins scripted pipelines, Harbor, Nexus, build agents) — you drive its architecture, reliability, and roadmap. Drive technical initiatives end-to-end: gather requirements, write the design doc, decompose into tasks, implement, deliver to production, and own the operational health afterwards. Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps. Design for reliability and scale: evolve the architecture of our platforms — topology, integration points, scaling approach, and reliability model. Support developers: deploy and monitor applications on both on-premise servers and Kubernetes (Helm), troubleshoot builds and deploys, help teams with metrics, alerts, and logs; participate in chat duty in developer support channels. Automate away toil: repetitive operations, provisioning, and maintenance should be codified, not performed by hand. Investigate production incidents as the senior escalation point for your area: drive resolution, lead post-mortems, implement systemic fixes. Participate in on-call rotations and raise the bar for how on-call works. Mentor less experienced engineers through design discussions, reviews, and pairing; catch debt-inducing shortcuts at the review stage. Use AI in all aspects of day-to-day work: researching, troubleshooting, developing.