The Azure Cloud Engineer is responsible for designing, implementing, and optimizing scalable cloud infrastructure on Azure platforms, focusing on AI and Data solutions to enhance availability, security, and performance.

Responsibilities

- Design and implement secure, scalable, and highly available cloud infrastructure using GCP/Azure services.
- Develop automated deployment pipelines using Infrastructure-as-Code (IaC) tools.
- Implement and manage security practices to ensure data protection and compliance.
- Design and provision AI and Data platform components via IaC.
- Collaborate with data science and engineering teams to deliver AI environments.
- Leverage AI tools and practices to enhance productivity.
- Create and maintain comprehensive documentation of infrastructure architecture.
- Stay updated with current GCP/Azure services and best practices.

Must Haves
- Bachelor’s degree in IT, Computer Science,



or related field.
- 5-7 years of experience in cloud engineering/architecture.
- Strong expertise in GCP/Azure services.
- Hands-on experience with Terraform and Infrastructure-as-Code.
- Proficiency in scripting languages (Python, Bash, PowerShell).
- Understanding of cybersecurity principles and practices.

Nice to Haves
- Master's degree or relevant certifications.
- Experience with modern AI tools and frameworks.
- Familiarity with CI/CD tools.
- Proficiency in monitoring tools like Datadog or Splunk.
- Knowledge of network fundamentals in GCP/Azure.

Other Details
- Location: Koregaon Park, Pune.
- Work model: Hybrid (3 days/week in office).
- Work hours: CET Time zone (9 hours).

📌 Azure AI Cloud Engineer - Mid Level (Pune)
🏢 Emagine
📍 Pune