Mohammed Waseem Shaik

A Skilled Senior DevOps/SRE Engineer with over 4.5 years of experience in designing, implementing, and managing CICD & CM process of DevOps including Observability and log monitoring solutions. Adept at collaborating with clients to understand their needs and proposing tailored monitoring tools, balancing open-source and enterprise solutions with a strong focus on security. Demonstrated expertise in project management, leading teams, and coordinating cross-functional efforts to ensure seamless implementation and operational efficiency.

Proven track record in creating dynamic monitoring dashboards, configuring proactive alerting mechanisms, and educating clients on best practices for robust monitoring frameworks. Comprehensive experience in application performance monitoring (APM), infrastructure, databases, and microservices, utilizing industry-leading tools such as Prometheus, Grafana, ELK, Amazon OpenSearch, Amazon CloudWatch, New Relic, and Datadog.

• AWS Certified DevOps Engineer - Professional
• AWS Certified Solutions Architect - Professional & Associate
• Datadog Certified Site Reliability Engineer
• Datadog Certified DPN Technical Specialist
• Gen AI - Generative AI (Artificial Intelligence) Modules on AWS
• Python
• AWS Cloud Services
• DevOps
• MCSE (Microsoft Certified System Engineer)
• Linux
• C Language
• CCNA (Cisco Certified Network Associate)

• Developed and deployed a sample restaurant AI chat bot application using Flask and Python, hosted on an AWS Ubuntu instance, demonstrating proficiency in web application development, cloud deployment, and integration of natural language processing for conversational interfaces.
• Designed and implemented a microservice architecture using Jenkins CICD for continuous integration and AWS ECS for deployment. Configured Jenkins to build Docker images, push them to Amazon ECR (Elastic Container Registry), and deploy the application on AWS ECS, ensuring seamless automation and scalability of the infrastructure.
• Proposed and implemented a comprehensive log monitoring solution for a domestic client's microservices application deployed on Amazon EKS. Leveraged Amazon Open-Search for data visualization, Fluent-bit as a log shipper for real-time log collection, and utilized Amazon S3 for secure and scalable log storage, ensuring robust monitoring and analysis capabilities for operational insights and proactive issue resolution.
• Design Complete Automated CICD pipeline for a springboot application including Commit stage, Code Build, Image Build, Registry, Image Registry, Containerization using Jenkins pipeline.
• Developed dynamic Grafana dashboards for Application Performance Monitoring (APM), Infrastructure metrics, Networking devices, and Databases, segmented by environment (e.g., development, staging, production). Utilized Grafana capabilities to visualize real-time and historical data, enabling comprehensive monitoring and proactive management of critical systems across different environments.
• Implemented comprehensive on-premises resource monitoring and alerting solution for an international client using Prometheus and Grafana. Configured Prometheus for metric collection, Grafana for dynamic dashboard creation, and implemented alerting mechanisms to proactively notify stakeholders of critical issues, ensuring prompt resolution and maximizing system reliability.
• Developed an AWS Lambda function to automate the generation of an Excel spreadsheet detailing EC2 and volume resource states across an AWS account. Utilized AWS SDKs in Python to programmatically query EC2 instances and volumes, capturing state information and attachment details. Integrated with Amazon S3 to automatically store the generated Excel sheet, demonstrating proficiency in serverless architecture, AWS automation, and data management for streamlined operations and enhanced reporting capabilities.
• Utilized Ansible and its modules to automate the deployment of Application Performance Monitoring (APM) tools on EC2 instances. Configured Prometheus and Grafana for monitoring and visualization, leveraging Ansible's playbooks and roles to streamline installation, configuration, and integration processes. Achieved seamless automation of APM implementation, ensuring consistent setup across environments and optimizing monitoring capabilities for enhanced system performance and reliability.
• Implemented log monitoring using ELK.
• Instrumented DotNet application with Prometheus libraries for Enabling APM.