Qutwo
Qutwo
Qutwo — sun’iy intellekt, kvant hisoblash va korporativ optimallashtirish kesishmasida faoliyat yurituvchi sun’iy intellekt laboratoriyasi va dasturiy ta’minot kompaniyasi. Uning Qutwo OS platformasi jamoalarga kvant va gibrid sun’iy intellekt algoritmlarini ishlab chiqish, yuqori unumli hisoblash tizimlari, GPUlar va turli kvant protsessorlari turlarini ulash, shuningdek, ma’lumotlar quvurlari, monitoring va barqarorlik imkoniyatlari bilan ishlab chiqarish yuklamalarini boshqarishga yordam beradi. Qutwo tadqiqot hamkorliklari, loyihalarni joyida qo‘llab-quvvatlovchi olimlar va ilg‘or sun’iy intellekt hamda kvant hisoblash tajribalarini amaliy korporativ ilovalarga aylantirish uchun mo‘ljallangan integratsiya xizmatlari orqali mijozlarini ham qo‘llab-quvvatlaydi. Xalqaro jamoa tarkibiga sun’iy intellekt va kvant texnologiyalari bo‘yicha olimlar hamda muhandislar kiradi; kompaniya sun’iy intellekt, MLOps va DevOps, kvant algoritmlari hamda platforma muhandisligi yo‘nalishlarida xodimlar yollaydi.

Senior Site Reliability Engineer in Helsinki (Hybrid)

Lead reliable, secure multi-cloud Kubernetes infrastructure for Qutwo’s quantum-AI platform. Operate distributed machine-learning workloads while advancing observability, GitOps, and CI/CD.

Tavsif

  • Design and run Kubernetes infrastructure across multiple cloud platforms
  • Develop metrics, logging, tracing, and alerting capabilities
  • Establish practical service-level objectives and incident-response processes
  • Automate reproducible, reviewable environments with infrastructure as code and GitOps
  • Manage scheduling, autoscaling, and cost efficiency for distributed training and inference, including Ray clusters on Kubernetes
  • Protect platforms through secrets management, network policies, workload identity, and supply-chain security
  • Create CI/CD and deployment platforms for engineers and coding agents
  • Maintain documentation for infrastructure and architectural decisions

Talablar

  • Seven or more years of experience building and operating production systems, including substantial work in SRE, platform, or infrastructure engineering
  • Advanced practical knowledge of Kubernetes, including cluster operations, networking, storage, and troubleshooting
  • Experience operating platforms across multiple cloud providers and evaluating their trade-offs
  • Strong infrastructure-as-code and automation capabilities with tools such as Terraform, Helm, and GitOps
  • Proficiency in Python or Go for developing engineering tools
  • Sound understanding of distributed systems, failure scenarios, and reliability trade-offs
  • Security-focused approach to trust boundaries, identity, secrets, and software supply chains
  • Ability to use AI-assisted development tools and critically review coding-agent output, including infrastructure changes
  • Fluent English communication skills
  • Demonstrated effectiveness in agile, cross-functional teams

Imtiyozlar

  • Hybrid working arrangement in Helsinki
  • Chance to establish reliability practices and infrastructure foundations
  • Exposure to distributed machine-learning workloads, quantum-AI systems, and multi-cloud environments
  • Collaborative, agile, cross-functional working culture

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