Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У вакансии понятный круг задач для опытного SRE, современный стек и заявлены возможности обучения, но без зарплаты и с работой на клиентском проекте оценить общую привлекательность сложнее.
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Зарплата не указанаРабота на клиентаСовременный стекПонятные задачиПоддержка обучения
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal SRE (AI/AIOps): Designing, operating, and scaling resilient cloud infrastructure and delivery pipelines with an accent on reliability metrics, infrastructure automation, observability, and intelligent operations. Focus on building self-healing systems, improving incident response, and applying anomaly detection, alert optimization, and automated remediation.
Location: Remote, Bulgaria
Company
hirify.global provides IT infrastructure and technology services for client projects.
What you will do
Design, operate, and scale cloud infrastructure with emphasis on availability, performance, resilience, and cost optimization.
Define and monitor SLIs, SLOs, error budgets, system health, performance, and capacity.
Automate operational tasks with Infrastructure as Code and develop self-healing systems.
Build and optimize CI/CD pipelines for faster feedback, safer releases, and frequent deployments.
Collaborate with software engineering and QA teams to improve quality and production reliability.
Lead incident response, blameless post-incident reviews, reliability improvements, technical standards, mentoring, and AI/AIOps initiatives.
Requirements
At least 5 years of professional experience in Site Reliability Engineering, DevOps, Platform Engineering, or a similar role, with responsibility for production systems throughout their lifecycle.
Strong understanding of reliability engineering principles, including SLIs, SLOs, error budgets, and toil reduction.
Practical experience designing, maintaining, and improving CI/CD pipelines.
Proficiency with Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation.
Hands-on experience with GCP, AWS, or Microsoft Azure and container technologies including Docker and Kubernetes.
Experience with at least one programming or scripting language such as Python, Go, or Bash.
Strong knowledge of observability practices, including metrics, centralized logging, distributed tracing, and alerting, using tools such as Prometheus, Grafana, Datadog, New Relic, or OpenTelemetry.
Practical experience applying AI or AIOps to anomaly detection, intelligent alerting, noise reduction, automated remediation, or operational reporting.
Ability to collaborate with development and QA teams to improve software quality and production reliability.
Proven technical leadership skills, including mentoring engineers, leading cross-functional initiatives, and driving engineering best practices.
Nice to have
Experience deploying and operating workloads on Google Cloud Run.
Experience integrating AIOps capabilities into an established monitoring and observability environment.
Knowledge of performance engineering, load testing, and capacity planning.
Familiarity with SOC 2, ISO 27001, GDPR, and related security, privacy, and compliance standards.
Culture & Benefits
B2B or CoW DevOps contract options; additional benefits apply to employment contracts.
Internal Mobility Program with career growth, job rotations, and diverse projects and technologies.
Referral program, long-term cooperation benefits, and CSR events and team building.
Learning courses, certificates, IT events, technical and personal training, and language courses.
Multisport; employment contracts additionally include cafeteria, meal contributions, life insurance, personal-event bonuses, and a volunteering day.
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