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Senior Site Reliability Engineer (AWS/Airflow)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
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 Site Reliability Engineer (AWS/Airflow): Implementing and supporting Apache Airflow solutions and managing large-scale SaaS infrastructure with an accent on AWS expertise, Kubernetes, and infrastructure automation. Focus on guiding enterprise customers through complex orchestration architectures and integrating monitoring and security tooling.

Location: Guadalajara, Mexico

Company

hirify.global, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms, partnering with clients to accelerate market entry and drive business transformation.

What you will do

  • Implement and support Apache Airflow solutions, guiding enterprise customers.
  • Leverage strong AWS expertise across infrastructure, data services, networking, and IAM.
  • Work hands-on with Kubernetes (EKS preferred), distributed systems, and large-scale SaaS infrastructure.
  • Develop scripting/programming solutions (Python/Go) and automate infrastructure (Terraform, Pulumi, Ansible).
  • Apply advanced Terminal/CLI skills and solid Git practices to debug code effectively.
  • Integrate and manage monitoring and security tooling (Prometheus, ElasticSearch, Vault).
  • Communicate complex technical issues clearly to non-technical stakeholders.

Requirements

  • Proven experience implementing and supporting Apache Airflow solutions.
  • Strong AWS expertise (infrastructure, cloud-native data services, networking, IAM, cloud automation).
  • Hands-on experience with Kubernetes (EKS preferred), distributed systems, and large-scale SaaS infrastructure.
  • Skilled in Python/Go and infrastructure automation tools like Terraform, Pulumi, Ansible.
  • Advanced Terminal/CLI user with solid Git practices and code debugging ability.
  • Deep understanding of network architectures and cloud-native data ecosystems.
  • Background in data engineering and working within regulated or enterprise environments.
  • Excellent customer-facing communication skills.

Nice to have

  • Proficiency in AI tooling to optimize day-to-day work, including drafting, analysis, research, or process automation.

Culture & Benefits

  • High-impact environment with commitment to professional development.
  • Flexible and collaborative culture.
  • Access to global opportunities.
  • Vibrant community fostering growth.
  • Comprehensive total rewards package.
  • Specific benefits determined by employment type and location.

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