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2 дня назад

Senior Reliability Engineer (AWS/Kubernetes)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Reliability Engineer (AWS/Kubernetes): Operating, observing, and improving the reliability of distributed systems running on AWS and Kubernetes with an accent on observability, operational maturity, and automated responses to system behavior. Focus on defining SLIs/SLOs, enhancing autoscaling/self-healing mechanisms, and driving root cause analysis for production incidents.

São Paulo, 100% Remote

Company

Leading nearshore staff augmentation provider headquartered in New York with 600+ tech professionals based in Latin America partnering with U.S. companies on digital transformation projects.

What you will do

  • Design and improve observability strategies including metrics, logs, traces, alerts, and dashboards across services.
  • Analyze production system behavior to identify failure modes, bottlenecks, and reliability risks.
  • Maintain and evolve AWS CDK/CDK8s constructs focused on observability, autoscaling, and safeguards.
  • Operate core platform components like VPC, EKS clusters, RDS, OpenSearch, MSK, and Kubernetes addons.
  • Define SLIs/SLOs, alerting strategies, and automated responses including self-healing and runbooks.
  • Collaborate on incident investigations, root cause analysis, CI/CD for IaC, and apply SRE principles.

Requirements

  • 5+ years in Site Reliability Engineering, Platform Engineering, or Infrastructure roles with production systems experience.
  • Strong observability operations: metrics, logs, traces, dashboards, alerts for complex systems.
  • Hands-on with AWS services (VPC, IAM, RDS, MSK, S3, CloudWatch) and Kubernetes (Helm, RBAC, ServiceAccounts).
  • Fluency in Python and IaC with AWS CDK, CDK8s or equivalent.
  • Prometheus, Grafana, alert tuning, incident-driven monitoring improvements.
  • Experience improving existing systems for operational excellence and reliability using observability data.

Nice to have

  • Experience supporting Spark on Kubernetes, Argo, or Kafka-based batch pipelines.

Culture & Benefits

  • 100% remote work with freedom to choose your location, laptop and internet only.
  • Highly competitive USD compensation exceeding market rates.
  • Paid time off policies for well-being and recharge.
  • Autonomy in managing time, focus on results over hours.
  • Work on high-impact projects with top U.S. companies.
  • Well-being focused culture, work-life balance, engagement activities, multicultural team across 25+ countries.

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