I’m Rahul Nagaraju, a Cloud Engineer & DevOps/SRE enthusiast, passionate about automating, optimizing, and securing cloud environments to ensure speed, resilience, and cost efficiency.
What started as a curiosity for technology has grown into a career where I design and scale cloud solutions that power real-world applications—from automating multi-cloud deployments to enhancing uptime with Kubernetes and CI/CD.
My core skills allow me to:
I’m always excited to collaborate on innovative cloud projects, share insights on DevOps trends, or discuss the latest in Kubernetes & automation. Feel free to reach out—let’s build something great together!
📩 Let’s chat – Whether you’re hiring, innovating, or brainstorming cloud strategies, I’d love to connect! Download CVCoursework:
• Cloud Computing & Architecture
• Virtualisation & Containerization
• DevOps & IaC (Terraform, CloudFormation)
• Disaster Recovery & Business Continuity
• Cybersecurity & Cloud Compliance
• Advanced Software Development & Microservices
• Object Oriented Programming & Design Patterns
Coursework:
• Computer Networks & Security
• Operating Systems & Virtualization
• Data Structures & Algorithms
• Database Management Systems (SQL & NoSQL)
• Embedded Systems & IoT
• Achieved 30% reduction in deployment time by building Jenkins CI/CD pipelines for Dockerized containers.
• Improved patient monitoring accuracy by 40%, enabling real-time data collection and analysis to provide actionable insights for insulin delivery by developing a scalable MERN stack & Android-based healthcare app.
• Mentored 100+ students in Android development and Cloud, guiding them to design, build and debug scalable mobile apps.
• Automated cloud infrastructure provisioning in AWS using CloudFormation, reducing manual efforts by 40%, while ensuring full compliance with IaC best practices.
• Partnered with DevOps team to develop scalable cloud solutions on Amazon EKS, AWS Lambda, RDS, enhancing application performance by 30%.
• Reduced critical application downtime by 25% by implementing proactive monitoring, automated incident response (AWS CloudWatch, PagerDuty), and disaster recovery strategies, increasing system resilience.
• Increased system scalability by 30% by designing and implementing containerized microservices using Docker and Kubernetes (IKS), optimizing API response times and ensuring high availability.
• Developed a Golang-based Problem Classifier to automate Jira ticket categorization from cloud logs with 95% accuracy.
• Collaborated with DevOps Engineers, SMEs, and project managers to implement observability (Prometheus, Grafana), logging, and security governance mechanisms, ensuring regulatory compliance and seamless system operations.
• Led on-call rotations for Sev-1 cloud incidents, reducing Mean Time to Resolution (MTTR) by 35%, through troubleshooting and rapid incident response, significantly improving customer satisfaction and service reliability.
• Accelerated deployment cycles by 25% through Docker containerization for an e-commerce microservice on IBM Cloud.
• Increased team productivity by 40% by developing Python and Bash automation scripts to enhance cloud monitoring.
Building and automating scalable, secure cloud infrastructure using AWS, Azure, GCP, Terraform, Kubernetes, and Docker improving performance, reliability, and cost efficiency for modern cloud environments.
Enhancing system reliability and high availability through proactive monitoring (Prometheus, Grafana, ELK Stack), automated incident response, and SLO/SLI metrics, to reduce critical downtimes.
Optimizing software delivery and infrastructure automation with CI/CD pipelines (Jenkins, GitHub Actions), GitOps, IaC (Terraform, Ansible), and Kubernetes, increasing speed and efficiency.
Designing secure, scalable, and cost-efficient cloud solutions across AWS, Azure, and GCP, leveraging proven design patterns Kubernetes and Terraform to align with business, security, and compliance requirements.