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5 часов назад

Senior DevOps Engineer (Kubernetes)

115 500 - 181 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 DevOps Engineer (Kubernetes/AWS): Designing and scaling secure cloud infrastructure for high-volume, low-latency decisioning and analytics services with an accent on CI/CD automation and Kubernetes orchestration. Focus on architecting enterprise-grade observability, optimizing EKS deployments, and enforcing cloud security policies.

Location: Remote (United States)

Salary: $115,500 – $181,500

Company

hirify.global is a leading global analytics software company specializing in credit scoring and fraud detection for businesses in over 100 countries.

What you will do

  • Architect and own CI/CD pipelines using ArgoCD, Tekton, or similar tools to ensure high availability.
  • Design and implement enterprise-grade observability solutions including monitoring, logging, and distributed tracing for Kubernetes.
  • Collaborate with architects and engineers to optimize deployments, performance, and scalability on Kubernetes.
  • Automate infrastructure provisioning and configuration management leveraging AWS services.
  • Define and enforce security and compliance policies across cloud infrastructure organization-wide.
  • Partner with product managers to translate platform priorities into scalable infrastructure strategies.

Requirements

  • Extensive experience operating data-intensive, containerized applications on Kubernetes at scale.
  • Advanced proficiency with AWS services (EKS, EC2, S3, IAM, Route 53, ECR).
  • Deep expertise in observability using Prometheus and Grafana.
  • Strong scripting and automation capabilities in Python and Bash.
  • Experience with Infrastructure as Code tools like Terraform, CrossPlane, or AWS ACK.
  • Must be based in the United States.

Culture & Benefits

  • Inclusive, people-first work environment with a focus on work-life balance.
  • Highly competitive compensation, benefits, and rewards programs.
  • Professional development opportunities in Big Data, AI, and Machine Learning.
  • Employee resource groups and social events to promote camaraderie.
  • Flexible remote work culture.

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