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3 дня назад

Cloud Senior DevOps Engineer

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore/Malaysia/Taiwan
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 Senior DevOps Engineer (Kubernetes/AI Infrastructure): Building and operating cloud-native infrastructure, CI/CD and MLOps pipelines, and GPU clusters for AI workloads with an accent on high availability, observability, security, and infrastructure automation. Focus on designing multi-cloud platforms, resolving complex incidents, implementing disaster recovery, and supporting production model inferencing.

Location: Singapore, Penang, Malaysia, or Taiwan

Company

hirify.global is a technology company providing Bitcoin mining solutions, ASIC mining hardware, datacenter operations, and AI cloud capabilities.

What you will do

  • Design, implement, and maintain CI/CD pipelines for software applications and machine learning models, including automated testing, deployment, and rollback.
  • Lead troubleshooting and root cause analysis during complex system anomalies and major incidents.
  • Build monitoring, logging, and alerting systems using tools such as Prometheus, Grafana, and ELK/EFK.
  • Automate reproducible infrastructure provisioning across cloud environments with Terraform, Ansible, and Helm.
  • Design highly available production systems, disaster recovery strategies, self-healing mechanisms, capacity plans, and performance improvements.
  • Build and scale Kubernetes- and Docker-based cloud infrastructure, including GPU clusters for AI workloads and model inferencing.

Requirements

  • 5+ years of hands-on experience in DevOps, SRE, or cloud infrastructure roles.
  • Bachelor's degree or above in Computer Science, Engineering, or a related technical field.
  • Strong coding and scripting skills in at least one major language, such as Go, Python, or Shell.
  • Experience designing and managing public or hybrid cloud infrastructure, including multi-cloud strategies.
  • Deep production-level knowledge of Docker and Kubernetes orchestration.
  • Expert knowledge of Linux and networking fundamentals, including TCP/IP, DNS, HTTP, load balancing, and VPCs.

Nice to have

  • Experience with MLOps, model serving frameworks such as vLLM, TGI, or Triton Inference Server, and GPU cluster management.
  • Experience with large-scale distributed systems, high-concurrency environments, or AI platforms.
  • Experience building Internal Developer Platforms and applying Zero Trust, DevSecOps, SOC2, or ISO27001 practices.
  • Technical leadership, mentoring, or DevOps team management experience.

Culture & Benefits

  • Inclusive environment valuing diverse backgrounds and perspectives.
  • Startup-style environment in a fast-growing digital asset technology company.
  • Autonomy, personal accountability, and opportunities to contribute to new projects.
  • Training, mentoring, welfare benefits, and professional development opportunities.

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