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13 часов назад

Principal Platform Engineer (AWS)

150 500 - 236 500$
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

Principal Platform Engineer (AWS/Kubernetes): Designing and evolving cloud-native platform infrastructure with an accent on scalability, resilience, and developer enablement. Focus on automating Kubernetes-based solutions, implementing GitOps workflows, and building robust CI/CD pipelines to empower engineering teams.

Location: Work from Home, United States

Salary: $150,500 – $236,500

Company

A leading global analytics software company specializing in credit scoring and fraud detection systems used by thousands of businesses worldwide.

What you will do

  • Design, deploy, and manage scalable AWS cloud solutions using Infrastructure as Code (Terraform, CloudFormation).
  • Implement and maintain large Kubernetes clusters (EKS) with a focus on reliability, security, and scalability.
  • Develop CI/CD pipelines and GitOps workflows leveraging ArgoCD, CircleCI, or GitHub Actions.
  • Build platform tooling and automation utilizing GoLang and Python.
  • Implement observability solutions (Grafana, OTEL) and integrate them into a Backstage IDP for system visibility.
  • Provide technical leadership and mentorship to team members on SRE and DevOps best practices.

Requirements

  • Expert-level proficiency with AWS cloud services (compute, storage, networking, and cloud-native services).
  • Deep knowledge of Kubernetes architecture, EKS, operators, and service mesh technologies like Istio.
  • Advanced programming skills in GoLang and Python for building automation tools.
  • Strong hands-on experience with Terraform for multi-cloud resource provisioning.
  • Proven ability to develop golden paths for engineers to streamline application delivery.
  • Must be based in the United States.

Culture & Benefits

  • Inclusive culture reflecting values of ownership and customer delight.
  • Highly competitive compensation and rewards programs.
  • People-first work environment prioritizing work-life balance.
  • Professional development opportunities in Big Data, AI, and machine learning.
  • Employee resource groups and social events to promote camaraderie.

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