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15 дней назад

Cloud Engineer (AWS)

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

Cloud Engineer (AWS): Designing and implementing scalable, secure AWS cloud architectures for enterprise clients with an accent on migration strategies and operational best practices. Focus on building repeatable delivery frameworks, optimizing serverless components, and providing strategic cloud advisory.

Location: Remote (USA)

Company

AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

  • Design and implement scalable, secure AWS architectures based on client requirements.
  • Assess current-state environments and propose effective cloud migration strategies.
  • Lead implementation of AWS services including compute, networking, storage, IAM, databases, and serverless.
  • Collaborate with stakeholders to translate complex technical concepts into actionable guidance.
  • Mentor team members and contribute to internal learning initiatives and reusable assets.

Requirements

  • Must be based in the USA.
  • 5+ years of experience in cloud architecture and implementation.
  • Hands-on experience with AWS services (EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
  • AWS Professional certifications (Solutions Architect Professional or DevOps Engineer Professional).
  • Experience with Terraform or Python for automation and Infrastructure as Code (IaC).
  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

Nice to have

  • Understanding of security frameworks and compliance requirements such as HIPAA or GDPR.

Culture & Benefits

  • Opportunity to work on AI-driven projects across various industries, from startups to enterprises.
  • Global team environment with collaboration across continents and cultures.
  • Inclusive environment that prioritizes continuous learning and innovation.
  • Commitment to ethical AI standards.

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