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3 дня назад

Senior Cloud Engineer-GCP (Cloud Engineering)

123 700$
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

Текст:
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TL;DR
Senior Cloud Engineer-GCP (Cloud Data Platforms): Building and operating highly available cloud-native data platform infrastructure with an accent on reliability, scalability, observability, and automation. Focus on designing Terraform-based infrastructure, optimizing distributed storage and streaming systems, and improving CI/CD, incident response, and platform resiliency.

Location: Austin, Texas, United States

Salary: USD $123,700 per year

Company

hirify.global is a retail company investing in digital technology, scalable customer experiences, and enterprise data platforms.

What you will do

  • Design, implement, and maintain highly available, resilient, and scalable cloud-native data platform infrastructure.
  • Develop Infrastructure as Code solutions with Terraform and automate platform operations.
  • Build monitoring, alerting, observability, SLO, capacity planning, and incident response practices.
  • Monitor, troubleshoot, and optimize distributed storage, compute, streaming, and ETL systems.
  • Lead root cause analysis, architecture reviews, fault-tolerance initiatives, and performance improvements.
  • Build and maintain CI/CD pipelines, improve security and compliance, and contribute to platform roadmaps.

Requirements

  • Bachelor’s or master’s degree in computer science, engineering, information technology, or a related field, or equivalent practical experience.
  • 5+ years of experience in software, platform, site reliability, or cloud engineering.
  • Experience managing large-scale cloud platforms, distributed systems, Databricks, and large-scale data processing environments.
  • Deep expertise in AWS services, including EC2, S3, VPC, IAM, Lambda, and CloudFormation.
  • Strong Python programming and automation skills, hands-on Terraform and Infrastructure as Code experience, and knowledge of distributed data and compute technologies.
  • Strong understanding of reliability, scalability, observability, performance optimization, monitoring, logging, and incident response.

Nice to have

  • Experience with Google Cloud Platform or Microsoft Azure.
  • Experience with Docker, Kubernetes, CI/CD platforms, and deployment automation tools.
  • Experience with data lake, lakehouse, or modern data platform architectures.
  • Relevant AWS, Terraform, Kubernetes, or Databricks certifications.
  • Experience mentoring engineers and leading cross-functional technical initiatives.

Culture & Benefits

  • Fast-paced retail and technology environment.
  • Collaboration across engineering, data, product, and business teams.
  • Participation in on-call rotations supporting critical production systems.
  • Flexible hours when required for business-critical initiatives.
  • Occasional travel by car or plane, including overnight stays.

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