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12 часов назад

Cloud Platform Engineer (AWS)

132 000 - 175 000$
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 Platform Engineer (AWS): Designing and maintaining scalable cloud infrastructure and distributed platforms for high-volume data and AI use cases with an accent on Terraform, AWS architecture, CI/CD, and DevSecOps. Focus on automating infrastructure with Terraform and Argo, deploying Lambda and ECS applications, improving Airflow orchestration, and troubleshooting AWS systems.

Location: California, United States

Salary: $132,000–$175,000 per year, plus potential discretionary bonus

Company

hirify.global is an AI partner for Fortune 500 companies, building enterprise intelligence solutions that support better business decisions.

What you will do

  • Design, implement, test, and maintain scalable AWS cloud infrastructure using DevOps best practices.
  • Automate and orchestrate cloud resources with Terraform and Argo CD.
  • Develop and deploy serverless and containerized applications using Lambda, ECS, and ECR.
  • Monitor and troubleshoot cloud services with CloudWatch, CloudTrail, and related observability tools.
  • Enhance AWS Airflow orchestration by upgrading the platform, improving logs and errors, and integrating configurable Slack alerts through Apprise.
  • Provide customer support through bi-weekly office hours, resolve codebase and AWS infrastructure issues, and document utilities and processes in Confluence.

Requirements

  • At least 7 years of experience as a platform engineer, cloud engineer, or in a similar role.
  • Strong production experience with AWS architecture, cloud networking, security, VPCs, Security Groups, NACLs, and IAM.
  • Proficiency in Terraform, Argo CD, Lambda, ECS, ECR, CloudWatch, CI/CD, containers, and Kubernetes.
  • Expertise in Python and Git, with production-quality coding experience; SQL experience is also required.
  • Experience building and maintaining distributed platforms for high-volume data and data science use cases.
  • Bachelor’s degree in computer science, engineering, or a related field, plus strong communication and problem-solving skills.

Nice to have

  • Experience with Snowflake, Airflow, dbt, SageMaker, AWS data services, Jira, Confluence, Scrum, or documentation tools.
  • Experience leading engineers, planning user stories, and communicating with technical and non-technical clients.

Culture & Benefits

  • Full-time employment with health, dental, vision, life insurance, and disability coverage.
  • Benefits eligibility begins on the first day of employment.
  • Access to the company 401(k) plan after 30 days.
  • 11 paid holidays, 12 weeks of parental leave, and a flexible free-time PTO policy.
  • Opportunity to work with an AI partner serving Fortune 500 enterprises.

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