Vinod M.

Senior Cloud Architect with more than 10+ years of experience for applications with millions of users and have helped in saving over $750K by reducing infrastructure costs. I started my career with a strong foundation in system and network engineering, gradually transitioning into cloud and DevOps roles over 9+ years. This journey was fueled by a passion for leveraging technology to solve complex problems and optimize workflows. My role at Delhivery marked a turning point, where I scaled infrastructure for a web application with over 1.5 million monthly users and transitioned its architecture to microservices using Docker and APIs. Recently, at Ahead DB India (Stellantis client), I developed backend systems using Java in Kubernetes environments and automated deployment pipelines with AWS tools, reducing deployment time by 30%. Additionally, I integrated observability solutions like Grafana and CloudWatch for proactive microservices monitoring. I've been exploring anomaly detection within SIEM systems like IBM QRadar, integrating CloudTrail logs stored in S3, and visualizing data in Amazon Managed Grafana. This experience is deepening my understanding of security in DevOps and improving incident management efficiency. I am passionate about building scalable, secure, and cost-effective cloud architectures. Automating CI/CD pipelines and enhancing operational excellence energizes me. I love mentoring teams to adopt best practices in infrastructure as code, deployment automation, and observability. My ability to integrate multiple tools like Terraform, Ansible, AWS CDK, and monitoring systems allows me to build tailored solutions for complex challenges. Whether it's reducing deployment time, improving application performance, or enhancing system reliability, I bring a comprehensive skill set that delivers results. My expertise in cloud technologies (AWS and Azure), programming (Python, Java, Go), and a deep understanding of DevOps tools like Kubernetes, Docker, and Terraform set me apart. I excel in transforming legacy systems into modern architectures and mentoring teams to ensure long-term success.