Cloud Ops - Consultant Sampoorna Consultants

4 - 8 years

10 - 20 Lacs

Bengaluru

Work from Office

Terraform Expertise: 1.In-depth Knowledge of Terraform: Proficient in provisioning cloud resources using Terraform, including the use of conditional expressions (count, for_each, dynamic blocks) to manage resource creation based on specific conditions and inputs. 2.Modular and Reusable Code Design: Experienced in writing custom Terraform modules to promote reusability, consistency, and ease of maintenance across multiple environments and projects. 3.Code Quality and Security Standards: Adheres to best practices in Terraform, including secure management of state files (using remote backends with encryption and locking), implementation of input/output validations, and compliance with organizational policies and security standards. 4.Comfortable writing clean, simple, and efficient Terraform code live, using conditional logic operators Azure Cloud Expertise: ?Strong understanding of Azure Compute services including Virtual Machines, Scale Sets, and App Services, with experience in provisioning and managing workloads efficiently. ?Knowledge of Azure Database services such as Azure SQL, Cosmos DB, and PostgreSQL, including performance tuning, backup configurations, and secure access controls. ?Proficient in Cloud Cost Management using Azure Cost Management and Budgets, with practical experience in optimizing resource usage and setting up cost alerts for budget control. ?Hands-on with Security Best Practices including the use of Azure Policies, Role-Based Access Control (RBAC), Azure AD identity management, and secure key/secret handling with Key Vault. ?Experienced in managing and enforcing compliance using Azure Policy, custom policy definitions, and initiatives across subscriptions and management groups. ?Familiar with various Azure PaaS services including Azure Functions, App Services, Logic Apps, and Azure Kubernetes Service (AKS), with a focus on scalability and minimal infrastructure overhead. AWS Cloud Expertise: ?Solid understanding of AWS Compute services including EC2, Auto Scaling Groups, Lambda, and Elastic Beanstalk, with experience in deploying and managing scalable applications. ?Proficient in AWS Database services such as RDS (MySQL, PostgreSQL), DynamoDB, and Aurora, including performance optimization, backups, and encryption. ?Hands-on experience with AWS Cost Management, including setting up Budgets, using Cost Explorer for usage analysis, and implementing tagging strategies for cost allocation. CI/CD Experience and Best Practices: ?Hands-on experience implementing CI/CD pipelines using Azure DevOps (ADO) or GitHub Actions enabling automated build, test, and deployment workflows across environments. ?Proficient in configuring and managing ADO build/release agents or GitHub self-hosted runners for customized execution environments and enhanced control over pipelines. ?Follows CI/CD best practices such as pipeline as code, modular workflows, environment segregation (dev/test/prod), use of secrets management, and approval gates. ?Skilled in implementing rollback strategies using versioned artifacts, infrastructure state snapshots (e.g., Terraform), and deployment rings for safe rollback and controlled releases. ?Enforces code quality and security standards using tools like tflint, checkov Kubernetes Expertise: ?Strong understanding of Kubernetes and its role in container orchestration, automation of deployment, scaling, and management of containerized applications. ?Proficient in Kubernetes features such as Pods, Deployments, Services, ConfigMaps, Secrets, and Namespaces, enabling efficient application management and scaling. ?Hands-on experience with troubleshooting Kubernetes pods, including analyzing logs, examining pod and node statuses, and addressing issues like CrashLoopBackOff and resource constraints. ?Skilled in deploying applications using Helm, managing Helm charts for versioned releases, and customizing deployments with values.yaml for seamless updates and rollbacks. ?Expertise in managing Kubernetes workloads, including Deployments, StatefulSets, and DaemonSets, as well as monitoring and enforcing resource limits to ensure efficient use of cluster resources. ?Knowledge of best practices for scaling, monitoring, and maintaining Kubernetes environments with tools like Prometheus, Grafana, and Kubernetes Dashboard.

Posted 2 months ago

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