Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи SRE описаны четко и охватывают надежность облачных, data- и AI-платформ, но консалтинговый формат может ограничивать длительность работы над одним проектом, а офис нужно посещать регулярно.
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Работа на проектахАктуальные облачные технологииПонятная зона ответственностиТри дня в офисе
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Site Reliability Engineer (Cloud & AI Platforms) (Azure/cloud operations): Ensuring the reliability, availability, observability, and operational efficiency of cloud, data, and AI platforms in Azure with an accent on SLAs, SLOs, disaster recovery, and automation. Focus on designing monitoring and alerting from scratch, implementing telemetry-driven operations, and supporting Microsoft Fabric and Azure Machine Learning workloads.
Location: Hybrid in Lisbon, Portugal, with 3 days per week at the office.
Company
hirify.global is a technology and strategy firm specializing in digital transformation, IT consulting, and nearshore team augmentation in Portugal and Poland.
What you will do
Ensure the reliability, availability, operational health, performance, and cost efficiency of cloud and data platforms in Microsoft Azure.
Define and implement SLAs, SLOs, operational models, and disaster recovery strategies.
Manage incidents and alerting systems while continuously improving operational processes.
Implement and maintain observability with Azure Monitor, Application Insights, and telemetry-driven insights.
Design automation aligned with the existing architecture, favoring engineering over manual operations.
Collaborate with architecture, data, and development teams to support cloud-native, data, and AI platforms including Microsoft Fabric and Azure Machine Learning.
Requirements
Strong experience as an SRE or in a similar reliability engineering role, with a software engineering mindset.
Solid background in cloud environments, particularly Microsoft Azure.
Proven experience in automation, observability, and cloud platform operations.
Experience implementing monitoring, alerting, and disaster recovery strategies from scratch.
Familiarity with Azure Monitor, Application Insights, and telemetry-based observability practices.
Experience working with data platforms and/or AI/ML environments, such as Azure Machine Learning or Microsoft Fabric.
Ability to work cross-functionally with architecture, data, and development teams.
Hands-on, autonomous approach with the ability to structure and improve operational models.
Strong technical communication skills.
Culture & Benefits
Hybrid work arrangement in Lisbon.
Work on a project for a technology company.
Collaboration across consulting, architecture, data, and development functions.
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