16 сен

cloud engineer in fintech

ориентир по рынку
вакансия зп не указана
в среднем 351 041 ₽
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ai-инструменты

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описание

The company is a global investment firm.

задачи

  • Design and maintain highly available cloud infrastructure across AWS and GCP;
  • Own cloud engineering projects end-to-end from initial design through implementation;
  • Design and develop Kubernetes platforms, including managed Kubernetes services;
  • Automate infrastructure provisioning and application deployment using Infrastructure as Code;
  • Build self-service capabilities for engineering teams and promote DevOps and Platform Engineering best practices;
  • Collaborate with developers and stakeholders on cloud solutions and architecture;
  • Support applications in cloud and Kubernetes environments;
  • Implement observability tools such as Prometheus and Grafana;
  • Apply cloud-native security practices;
  • Explore LLMs and AI agents to enhance engineering workflows;
  • Mentor engineers, contribute to technical decisions, and participate in an on-call rotation with occasional out-of-hours maintenance.

требования

  • Senior level with extensive hands-on experience managing large-scale, highly available cloud environments;
  • Advanced practical knowledge of Kubernetes, including deployment, management, security, and managed services;
  • Knowledge of cloud architecture and serverless solutions;
  • Deep expertise in Infrastructure as Code with Terraform or CloudFormation;
  • Programming skills for infrastructure automation, preferably Python or Go;
  • Strong Linux administration skills;
  • Solid understanding of networking;
  • Experience with hybrid cloud environments;
  • Solid understanding of DevOps and Platform Engineering principles;
  • Proactive approach to improving engineering practices;
  • Excellent communication skills;
  • Agile experience;
  • Ability to mentor colleagues and drive technical discussions;
  • Nice to have: AWS certifications, Kubernetes certifications, knowledge of FinOps and cloud cost optimization, experience with on-premises Kubernetes or Ansible, exposure to AI / ML infrastructure, open-source contributions.

условия

  • Employment Contract (UoP);
  • Hybrid model with 3 days per week in-office;
  • Occasional out-of-hours maintenance.

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