Cloud Infrastructure Architect

hace 1 día

Madrid, Madrid, España Geospatial And Cloud Analytics Inc A tiempo completo

About Us

Geospatial And Cloud Analytics Inc is a leading fintech-travel start-up that leverages cutting-edge technology to address the complex challenges of the evolving travel industry and provide tangible financial value to our network of clients, including over 150 international clients generating $12 Billion in sales annually.

Our Team

Each member of our team is a versatile professional who contributes to the product from overall experience to development, and you will be no exception.

Job Description

As an Azure Cloud Engineer at Geospatial And Cloud Analytics Inc, you will be responsible for managing and optimizing our cloud infrastructure, ensuring seamless deployment and operation of our software systems.

Key Responsibilities

  • Manage and maintain all DevOps aspects in the company, including cloud infrastructure, CI/CD, Observability, DataOps, SecOps, and cost management.
  • Collaborate with the R&D team on joint projects.
  • Design, build, and automate cloud and hybrid-cloud infrastructure (Azure).
  • Manage and monitor multiple, diverse environments at a large scale.
  • Maintain our CI/CD tooling and improve automation.
  • Implement SecOps best practices in all infrastructure and processes.
  • Design and maintain data infrastructure (SQL and NoSQL) fit for scale.
  • Integrate visibility and alerting capabilities into infrastructure and processes.

Requirements

  • At least 4 years of work experience as a cloud engineer in a large-scale software development environment.
  • Proven experience and intimate knowledge of Azure cloud infrastructure.
  • A good understanding of networking concepts.
  • Experience triaging and solving complex production infrastructure issues.
  • Experience implementing DevOps projects and tools (in fields such as Cloud security, compliance certification, Zero trust etc.).
  • Proven experience with scripting languages.
  • Solid understanding of Linux systems.
  • Experience working with DataBricks, Azure DataFactory, Function Apps, and Storage Queues Sql Server (and specifically Azure SqlServer) - An advantage.

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