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2 дня назад

Senior Reliability Engineer (AWS/Kubernetes)

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

Текст:
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TL;DR

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

100% Remote

Company

Leading nearshore staff augmentation provider headquartered in New York with 600+ 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.
  • Analyze system behavior in production to identify failure modes, bottlenecks, and risks.
  • Maintain AWS CDK/CDK8s constructs and core platform components like VPC, EKS, RDS, OpenSearch, MSK.
  • Operate Kubernetes addons such as ingress controllers, cert-manager, autoscalers, monitoring stacks.
  • Define SLIs, SLOs, alerting strategies, and automate operational responses including self-healing.
  • Collaborate on incident investigations, root cause analysis, and CI/CD for IaC/observability.

Requirements

  • 5+ years in SRE, Platform Engineering, or Infrastructure with production systems experience.
  • Strong observability operations: metrics, logs, traces, dashboards, alerts for complex systems.
  • Hands-on with AWS (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.

Nice to have

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

Culture & Benefits

  • 100% remote work with autonomy focused on results.
  • Competitive USD compensation.
  • Paid time off for well-being.
  • Work with top U.S. companies on high-impact projects.
  • Diverse multicultural team across 25+ countries emphasizing work-life balance.

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