We are looking for an experienced Azure Engineer with strong expertise in Infrastructure as Code (IaC) to design, build, and manage scalable, secure, and repeatable cloud environments. The ideal candidate will be responsible for automating infrastructure provisioning using modern IaC tools, ensuring compliance with security standards, and integrating monitoring and networking capabilities across Azure environments.

Key Responsibilities :

- Design and implement Azure infrastructure using Infrastructure-as-Code (IaC) tools such as Terraform, ARM templates, or Bicep

- Develop reusable templates/modules for provisioning standardized environments

- Automate infrastructure deployment pipelines using CI/CD tools (Azure DevOps, GitHub Actions, etc.)

- Integrate monitoring and logging solutions (Azure Monitor, Log Analytics, Application Insights)

- Ensure security, governance, and compliance by implementing Azure Policies, RBAC, and best practices

- Configure and manage networking components such as VNets, subnets, NSGs, Load Balancers, VPNs, and Private Endpoints

- Collaborate with development, DevOps, and security teams to support application deployments

- Optimize cloud infrastructure for cost, performance, and scalability

- Troubleshoot infrastructure issues and perform root cause analysis

- Maintain documentation of architecture, configurations, and deployment processes

Required Skillset :

- Demonstrated expertise in designing and managing cloud-native environments using AWS, Azure, or GCP, with a focus on high availability and cost optimization.

- Proficiency in Infrastructure-as-Code tools such as Terraform or CloudFormation to manage complex, multi-environment setups.

- Strong command over container orchestration platforms like Kubernetes and Docker, including experience in managing service meshes and ingress controllers.

- Ability to script and automate operational tasks using languages like Python, Go, or Bash to enhance system reliability.

- Proven capability to communicate technical concepts effectively to both engineering teams and non-technical stakeholders.

- Strong analytical mindset with the ability to troubleshoot complex distributed systems in a fast-paced, hybrid work environment.

- A Bachelor's degree in Computer Science, Information Technology, or a related field, supported by 6 to 10 years of relevant professional experience.