Qutwo
Qutwo
Qutwo — жасанды интеллект, кванттық есептеу және кәсіпорындарды оңтайландыру тоғысындағы бағыттарда жұмыс істейтін жасанды интеллект зертханасы әрі бағдарламалық жасақтама компаниясы. Оның Qutwo OS платформасы командаларға кванттық және гибридті жасанды интеллект алгоритмдерін әзірлеуге, жоғары өнімді есептеу жүйелерін, GPU-ларды және кванттық процессорлардың әртүрлі түрлерін байланыстыруға, сондай-ақ деректер конвейерлері, мониторинг және орнықтылық мүмкіндіктері арқылы өндірістік жүктемелерді іске қосуға көмектеседі. Qutwo сонымен қатар зерттеу серіктестіктері, жоба орнына жіберілетін ғалымдар және озық жасанды интеллект пен кванттық есептеу эксперименттерін кәсіпорындарға арналған практикалық қолданбаларға айналдыруға бағытталған интеграциялық қызметтер арқылы клиенттеріне қолдау көрсетеді. Халықаралық команда құрамында жасанды интеллект және кванттық технологиялар саласындағы ғалымдар мен инженерлер бар; компания жасанды интеллект, MLOps және DevOps, кванттық алгоритмдер және платформа инженериясы бағыттары бойынша мамандар қабылдайды.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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