Qutwo
Qutwo
Qutwo yra dirbtinio intelekto laboratorija ir programinės įrangos įmonė, veikianti dirbtinio intelekto, kvantinio skaičiavimo ir įmonių optimizavimo sankirtoje. Jos platforma „Qutwo OS“ padeda komandoms kurti kvantinius ir hibridinius dirbtinio intelekto algoritmus, sujungti didelio našumo skaičiavimą, grafikos procesorius ir įvairių tipų kvantinius procesorius, taip pat valdyti gamybinius darbo krūvius naudojant duomenų apdorojimo grandines, stebėseną ir atsparumą sutrikimams. Qutwo taip pat padeda klientams per mokslinių tyrimų partnerystes, pas klientus dirbančius mokslininkus ir integravimo paslaugas, skirtas pažangaus dirbtinio intelekto bei kvantinio skaičiavimo eksperimentus paversti praktinėmis įmonių taikomosiomis programomis. Tarptautinę komandą sudaro dirbtinio intelekto ir kvantinių technologijų mokslininkai bei inžinieriai, o darbuotojų ieškoma dirbtinio intelekto, MLOps ir DevOps, kvantinių algoritmų bei platformų inžinerijos srityse.

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.

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

  • 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

Susiję darbai