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Обязанности SRE описаны достаточно четко и охватывают ключевые задачи надежности, но широкий список альтернативных инструментов не раскрывает, какие технологии реально используются в команде.
?Неясный стек команды
Актуальные технологии
Понятные задачи SRE
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Текст:
Hirify AI/Оригинал
TL;DR
Site Reliability Engineer (Cloud/DevOps): Designing and supporting reliable, scalable, and secure production systems with an accent on automation, observability, incident response, and infrastructure resilience. Focus on defining SLOs and SLIs, resolving complex production incidents, and building highly available platforms across cloud environments.
hirify.globalss="location">Location: Milwaukee, WI, United States; other locations include Charlotte, NC; Austin, TX; and Hudson, WI. Less than 10% travel required.
hirify.globalss="company-description">Company
hirify.global is a national professional services firm providing wealth advisory, digital, audit, tax, consulting, and outsourcing services, with more than 8,500 people and 130 U.S. locations.
hirify.globalss="what-you-will-do">What you will do
Design, implement, and maintain reliability engineering practices for stable, scalable, performant, and secure production environments.
Develop automation that reduces manual operations, improves efficiency, and eliminates recurring operational toil.
Build monitoring, observability, alerting, and incident-response capabilities for business-critical systems.
Define and maintain SLOs, SLIs, and reliability metrics.
Lead troubleshooting and root-cause analysis for complex production incidents, implementing corrective actions and automated recovery to reduce MTTR.
Design highly available infrastructure and partner with development, cloud, infrastructure, and security teams to improve delivery stability and operational readiness.
hirify.globalss="requirements">Requirements
5 or more years of relevant experience in site reliability engineering, DevOps, cloud engineering, infrastructure engineering, software engineering, or a related field.
Bachelor’s degree in Computer Science, Information Technology, or a related field; a combination of relevant experience, education, and training may be accepted instead.
Proficiency with cloud platforms such as Microsoft Azure, AWS, or GCP.
Hands-on experience with containerization, orchestration, CI/CD, and Infrastructure as Code technologies, including Docker, Kubernetes, OpenShift, Podman, Azure Pipelines, GitHub Actions, Jenkins, GitLab CI/CD, Terraform, Bicep, CloudFormation, or Pulumi.
Experience with monitoring, observability, incident management, scripting, and automation tools such as Azure Monitor, Datadog, Splunk, Python, or PowerShell.
Culture focused on bringing different beliefs and perspectives together.
Comprehensive health, dental, vision, 401(k), and other wellness benefits.
Full-time employment with less than 10% travel.
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