### **DevOps Engineer** #### **Skillset** * **CI/CD \& Automation:** Azure DevOps, Azure Pipelines, GitHub, SonarQube, jfrog * **Cloud \& Infrastructure:** Azure Cloud, Azure App Service, Application Gateway, Azure Key Vault, APIM, Azure Cosmos DB * **Containerization \& Orchestration:** Kubernetes, Docker, OpenShift * **Data \& Messaging:** HDInsight Kafka * **Networking:** Strong understanding of cloud networking concepts * **Infrastructure as Code (IaC):** ARM Templates, Terraform * **Scripting:** Bash / Python (preferred) * **Additional Tools:** Monitoring and logging solutions, Release \& Deployment methodologies #### **Experience** * **Minimum:** 5–6 years in **Cloud CI/CD**, preferably in **Azure** environments. * Hands\-on experience with **container orchestration (Kubernetes)** and **infrastructure automation**. * Strong background in **pipeline development**, **infrastructure provisioning**, and **application deployment**. * Familiarity with **security best practices**, **AAD integration**, and **data/event flow concepts**. * Bonus: Knowledge of **ML workflows** and **Lightbend Cloudflow**. #### **Job Description** * Design and implement **Azure YAML pipelines** for CI/CD, including **Quality Gates** to ensure code quality. * Apply **SCM best practices** using Git for version control and collaboration. * Set up and manage **Azure infrastructure** as required by engineering teams. * Automate infrastructure provisioning using **Terraform/ARM** and integrate with pipelines. * Administer and optimize **Kubernetes clusters** and containerized workloads. * Troubleshoot complex application and infrastructure issues, ensuring reliability and performance. * Develop scripts to automate frequent tasks and integrate them into CI/CD workflows. * Understand **AAD application registration** and backend interactions for secure deployments. * Collaborate with teams to ensure smooth **release and deployment processes**. * Maintain documentation and dashboards for visibility and knowledge sharing.