Qutwo
Qutwo
Qutwo एक AI लैब और सॉफ्टवेयर कंपनी है, जो आर्टिफिशियल इंटेलिजेंस, क्वांटम कंप्यूटिंग और एंटरप्राइज़ ऑप्टिमाइज़ेशन के संगम पर काम करती है। इसका Qutwo OS प्लेटफ़ॉर्म टीमों को क्वांटम और हाइब्रिड AI एल्गोरिदम विकसित करने, हाई-परफ़ॉर्मेंस कंप्यूटिंग, GPU और विभिन्न क्वांटम प्रोसेसिंग यूनिट प्रणालियों को जोड़ने तथा डेटा पाइपलाइन, मॉनिटरिंग और रेज़िलिएंस के साथ प्रोडक्शन वर्कलोड संचालित करने में मदद करता है। Qutwo रिसर्च साझेदारियों, ग्राहकों के साथ सीधे काम करने वाले वैज्ञानिकों और इंटीग्रेशन सेवाओं के माध्यम से भी सहयोग करता है, ताकि उन्नत AI और क्वांटम-कंप्यूटिंग प्रयोगों को व्यावहारिक एंटरप्राइज़ एप्लिकेशन में बदला जा सके। इसकी अंतरराष्ट्रीय टीम में AI और क्वांटम वैज्ञानिकों तथा इंजीनियरों के साथ-साथ AI, MLOps और DevOps, क्वांटम एल्गोरिदम और प्लेटफ़ॉर्म इंजीनियरिंग के क्षेत्र में कार्यरत लोग शामिल हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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