Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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У роли четкий фокус на SRE, заметная ответственность за инциденты и наблюдаемость, а также понятные критерии успеха. При этом гибридный формат и работа в стартапе подойдут не всем.
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Офис три дняЧеткая зона ответственностиСовременный стекПерспективный доменЩедрый пакет льгот
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Site Reliability Engineer (Datadog/SLI/SLO): Leading incident response and organization-wide observability standardization for customer-facing distributed systems with an accent on measurable reliability, reusable monitoring patterns, and team-owned SLO programs. Focus on reducing MTTD and MTTR, designing actionable alerts and error budgets, and building sustainable operational practices across engineering teams.
Location: Miami, United States; hybrid work with 3 days in the office per week.
Company
hirify.global is an AI-powered security and IT platform that unifies identity and access, endpoint security and management, and compliance automation.
What you will do
Lead the incident lifecycle, including detection, triage, communication, mitigation, resolution, and post-incident reviews.
Define and maintain severity models, escalation paths, on-call expectations, runbooks, and playbooks.
Facilitate blameless postmortems, track remediation work, and reduce repeat incidents.
Establish organization-wide Datadog standards for metrics, logs, traces, naming, cardinality, retention, and sampling.
Define and drive adoption of SLIs, SLOs, and error budgets, while helping teams own their observability practices.
Mentor engineers and contribute to capacity planning, chaos or game-day exercises, reliability reviews, and cross-team tooling alignment.
Requirements
5+ years of experience in SRE, production engineering, or equivalent, including on-call responsibility for customer-facing systems.
Proven experience running or significantly improving incident response processes or tooling in a distributed systems environment.
Deep hands-on Datadog experience, including dashboards, monitors, instrumentation standards, and metrics, logging, and tracing at scale.
Production experience defining SLOs, SLIs, and error budget policies, and working with teams to codify reliability metrics.
Strong understanding of Linux, networking, distributed-systems failure modes, and cloud or hybrid infrastructure, including Kubernetes, load balancers, databases, and queues.
Proficiency in Go, Python, or a similar language for tooling and automation, with familiarity with infrastructure-as-code concepts such as Terraform.
Clear written and verbal communication, including facilitating high-pressure incident discussions and postmortems.
Experience influencing without direct authority and driving adoption across engineering teams.
Nice to have
Experience with OpenTelemetry or similar vendor-neutral instrumentation strategies.
Familiarity with PagerDuty, Incident.io, Opsgenie, Statuspage, or similar incident-management and external-communications tools.
Experience in a hyper-growth startup or regulated, high-compliance environment.
Contributions to internal developer platforms or shared reliability tooling.
Culture & Benefits
Hybrid work environment with 3 days in the office per week.
Medical, dental, and vision coverage for employees and dependents, with 100% coverage stated.
401(k) with a 4% company match, equity for full-time employees, and 20 days of PTO.
Paid parental leave of up to 16 weeks, paid family and medical leave, and fertility benefits.
Mental health benefits, an in-office lunch stipend, onsite fitness center, free parking, wellness week, and employee discounts.
Inclusive workplace focused on diverse perspectives and equal opportunity.
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