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6 часов назад

Software Engineer, DevOps

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Australia
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
Software Engineer, DevOps (AWS/Kubernetes): Designing and operating secure, scalable cloud environments and production-grade customer deployments with an accent on infrastructure automation, CI/CD, observability, and cloud security. Focus on deploying Kubernetes clusters, troubleshooting containerized workloads, and translating enterprise customer requirements into reliable implementation plans.

Location: Australia; remote-friendly culture with a hybrid work designation.

Company

hirify.global develops open-source and enterprise AI cloud platforms that help organizations build Generative and Predictive AI applications on private data.

What you will do

  • Deploy, maintain, and improve secure, scalable cloud environments on AWS and Kubernetes.
  • Automate infrastructure provisioning and configuration with Terraform, Ansible, CloudFormation, and related Infrastructure as Code tools.
  • Build and maintain CI/CD pipelines, release processes, and production environment automation.
  • Implement observability through metrics, logging, monitoring, and alerting, while supporting reliability and performance.
  • Operate Kubernetes clusters and troubleshoot containerized workloads across Linux, networking, and distributed systems.
  • Work directly with enterprise customers and internal teams on deployments, architecture discussions, incident resolution, and product feedback.

Requirements

  • Degree in Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
  • At least 2 years of experience in cloud, DevOps, platform engineering, or related roles.
  • At least 2 years of hands-on Kubernetes experience in production environments.
  • Strong hands-on AWS experience and experience operating cloud-based applications in production or near-production settings.
  • Experience building CI/CD pipelines and automating infrastructure with Terraform, Ansible, CloudFormation, or similar tools.
  • Strong troubleshooting, communication, learning, and adaptation skills.

Nice to have

  • Customer-facing technical experience in banking or financial services.
  • Exposure to GCP or Azure and cloud, Kubernetes, or AI/ML certifications.
  • Experience with AI/ML or data-intensive workloads in cloud environments.
  • Familiarity with security, compliance, data governance, and Generative AI frameworks.

Culture & Benefits

  • Remote-friendly culture and flexible working environment.
  • Career growth opportunities.
  • Work with a world-class team focused on democratizing AI and responsible AI.
  • Market-leading total rewards.

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