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Exponentia.ai

Cloud Engineer

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  • Posted a month ago
  • Over 50 applicants

Job Description

About Exponentia.ai

Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.

Awards & Recognitions

  • Innovation Partner of the Year Databricks, 2024
  • Digital Impact Award, UK 2024 (TMT Sector)
  • Rising Star APJ Databricks Partner Awards 2023
  • Qlik's Most Enabled Partner APAC

With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.

Learn more: www.exponentia.ai

About The Role

We are looking for an experienced Cloud Engineer specializing in Microsoft Azure to design, implement, and manage scalable, reliable, and secure cloud infrastructure. The ideal candidate will have strong experience with Azure services, CI/CD pipelines, Infrastructure as Code (IaC), automation, and modern DevOps practices.

Key Responsibilities

  • Design, deploy, and manage Azure-based cloud infrastructure following best practices.
  • Implement CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, or Jenkins.
  • Manage and automate infrastructure provisioning with Terraform, ARM templates, or Bicep.
  • Monitor system performance, troubleshoot issues, and optimize cloud resources for performance and cost.
  • Implement security, compliance, and backup strategies in alignment with organizational policies.
  • Collaborate with development and operations teams to support containerization (Docker, Kubernetes, AKS).
  • Automate workflows using PowerShell, Python, or Bash scripting.
  • Maintain high availability and disaster recovery solutions in Azure.
  • Document infrastructure configurations, processes, and deployment procedures.

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About Company

Job ID: 140115179

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