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Чётко очерченная роль старшего SRE в продуктовой компании с серьёзной ответственностью за надёжность и наблюдаемость; главный нюанс по нагрузке - дежурства.
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Актуальный стек
Понятная роль
Крупный продукт
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Site Reliability Engineer (AWS/Kubernetes): Improving the reliability, scalability, security, and operational efficiency of a business-critical multi-tenant cloud platform with an accent on observability, incident response, and production engineering. Focus on designing SLOs and reliability scorecards, reducing operational toil, and building resilient deployment, monitoring, and disaster-recovery capabilities.
Location: Hybrid – London, UK
Company
hirify.global provides an intelligent employee communications platform used by organizations including 40 of the Fortune 100 companies, reaching more than 17 million employees daily.
What you will do
Design, build, and operate reliable, scalable, and resilient production services across application and infrastructure stacks.
Establish SRE practices including SLIs, SLOs, error budgets, operational readiness reviews, reliability standards, and an SRE scorecard.
Lead observability and monitoring strategy across metrics, logs, traces, APM, database monitoring, real-user monitoring, and synthetic testing.
Lead incident response, technical investigations, post-incident improvements, and initiatives to reduce MTTD, MTTA, and MTTR.
Provide technical leadership and mentoring while communicating reliability risks and participating in on-call rotations.
Requirements
BS or MS in Computer Science, or equivalent diplomas and/or certifications, with 8+ years of relevant experience.
Strong experience in Site Reliability Engineering, production engineering, platform engineering, or a comparable role supporting large-scale, distributed, customer-facing applications, ideally in a multi-tenant environment.
Ability to troubleshoot across application code, APIs, containers, Kubernetes, cloud infrastructure, networking, databases, and third-party dependencies.
Strong experience operating production workloads in AWS and Kubernetes-based environments.
Hands-on experience with monitoring, logging, distributed tracing, and APM; deep practical expertise with Datadog is required.
Experience defining and implementing SLIs, SLOs, error budgets, reliability scorecards, and operational health metrics.
Strong automation and software-engineering skills using one or more of Python, Go, Java, JavaScript/TypeScript, or similar languages.
Experience with infrastructure as code including Terraform, CI/CD pipelines, configuration management, and automated deployments; strong ownership, communication, and independent execution skills.
Willingness to participate in on-call rotation and improve the on-call experience through tooling, documentation, and automation.
Culture & Benefits
Inclusive, high-growth environment where ideas are valued and employees are encouraged to address ambiguity and challenging problems.
Excellent PTO program and health benefits.
Casual, friendly environment with support for personal and professional growth.
Hybrid work in London with remote work offered as part of the broader workplace approach.
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