Cloud DevOps Engineer with 5 years of experience designing and automating resilient cloud infrastructure across AWS and Azure. Proven success in deploying Python-based microservices, implementing IaC with Terraform, and integrating intelligent observability with tools like Azure Monitor and Prometheus. Skilled at accelerating release pipelines, minimizing downtime, and ensuring scalable, secure deployments.

• 📝 I regularly write articles on https://medium.com/@saidnew1798

• 📫 How to reach me saiarch247@gmail.com

Cloud Platform Engineer

• Designed, built, and maintained Azure cloud infrastructure supporting production SaaS platforms, ensuring high availability and compliance with operational standards.
• Managed and operated Azure Kubernetes Service (AKS) clusters, optimizing for scalability, reliability, and performance in production environments.
• Developed and maintained CI/CD pipelines using GitHub Actions, facilitating reliable application delivery and controlled rollouts.
• Implemented monitoring and observability solutions, including Grafana and Azure Monitor, to maintain platform health and performance.
• Managed identity and access control across Azure environments, ensuring secure connectivity and compliance with security standards.
• Collaborated with engineering teams to define and improve platform standards, tooling, and infrastructure patterns for enhanced efficiency.
• Maintained documentation, runbooks, and operational procedures to support reliable platform operations and incident response.
• Supported high-availability infrastructure with strong uptime and reliability standards, contributing to overall system performance.
• Conducted troubleshooting and performance tuning of cloud-hosted applications, ensuring optimal resource utilization and reliability.
• Engaged in continuous improvement initiatives to enhance cloud infrastructure and operational processes.

Senior Software Engineer (DevOps)

• Designed and implemented reusable Infrastructure as Code (IaC) modules using Terraform for Azure services (App Services, VNets, Key Vault), which enabled consistent provisioning and disaster recovery across development, QA, and production setups.
• Designed and implemented multi-stage CI/CD pipelines using Azure DevOps and GitHub Actions, supporting reliable application delivery and deployment.
• Managed Azure Kubernetes Service (AKS) for application deployments, ensuring scalability and performance in cloud-native environments.
• Automated containerization workflows using Docker, facilitating consistent promotion of workloads across multiple environments.
• Integrated intelligent observability using Azure Monitor and Log Analytics with alert rules, which empowered faster root cause analysis and resulted in a 25% decrease in production downtime.
• Developed and deployed Kubernetes-based Python applications using Helm charts, enabling zero-downtime deployments and supporting version rollback with blue-green strategies to improve release reliability.
• Built Prometheus and Grafana monitoring dashboards for system health and performance metrics, allowing teams to detect anomalies in real time and respond faster to infrastructure and application-level incidents.
• Supported migration validation phases by correlating metrics and deployment timelines to identify performance issues and root causes.
• Troubleshot CI/CD pipeline issues, reducing deployment failures and improving mean time to recovery (MTTR) through effective problem resolution.
• Enhanced system reliability by refining alert rules and implementing actionable monitoring aligned with operational SLAs.
• Contributed to the development of operational procedures and documentation to support reliable platform operations.
• Engaged in continuous improvement efforts to enhance cloud infrastructure and support site reliability engineering practices.

Sofware Engineer (DevOps)

• Supported cloud-based microservices applications on AWS by provisioning infrastructure, managing configurations, and automating CI/CD workflows for containerized and Python-based services.
• Designed, implemented, and maintained Jenkins CI/CD pipelines for Python and Dockerized microservices deployed on Amazon EKS and EC2, enabling automated build, test, and deployment across environments.
• Integrated static code analysis, dependency scanning, and container image vulnerability scanning into CI pipelines to enforce quality and security checks before deployments.
• Managed AWS IAM roles, policies, and permissions for cloud resources and CI/CD pipelines, enforcing least-privilege access and aligning with enterprise security and compliance standards.
• Implemented Infrastructure-as-Code pipelines to automatically plan, validate, and apply Terraform changes with policy checks, remote state management (S3 + DynamoDB), and rollback controls.
• Designed and maintained modular Terraform configurations with reusable modules for networking, compute, and cloud components, enabling standardized and scalable infrastructure provisioning across multiple environments.
• Managed Terraform workspaces to isolate and maintain environment-specific state (development, test, production), ensuring safe deployments, controlled changes, and consistent infrastructure behavior across environments.
• Assisted with Kubernetes (EKS) operations including application deployments, configuration updates, scaling, and basic cluster troubleshooting to support microservices workloads.
• Implemented monitoring, alerting, and log analysis using Amazon CloudWatch and CloudWatch Logs to support production systems, incident response, and root cause analysis.
• Developed and enhanced Python automation scripts for log parsing, health checks, data validation, and scheduled operational tasks, reducing manual effort and improving troubleshooting efficiency.
• Built and supported RESTful APIs and internal automation tools using Python (Flask), integrating with AWS services, CI/CD pipelines, and JSON-based data workflows.
• Collaborated closely with developers, QA, and operations teams to troubleshoot build, deployment, and runtime issues, contributing to improved application stability and release quality.