NITHISH BIJADI RAJEEV
CLOUD ENGINEER
************@*****.*** +1-216-***-**** OH LinkedIn GitHub Portfolio Professional Summary:
Cloud Engineer with 3+ years of experience designing, deploying, and supporting Azure-based cloud Infrastructure with a strong focus on Infrastructure as Code (Terraform), CI/CD automation, and production reliability. Proven experience supporting large-scale, mission-critical systems, implementing zero-downtime deployments, and improving system availability through proactive monitoring and incident response. Skilled in Azure DevOps, cloud provisioning, containerized deployments, and observability, with a solid foundation in Linux and cloud operations across Azure and AWS environments. Adept at collaborating with cross-functional teams to deliver secure, scalable, and highly available cloud platforms. Experience:
CLOUD ENGINEER, BRIGHT MIND ENRICHMENT AND SHOOLING 08/2025 – Present
•Manage and support Azure-based cloud environments across development and staging, ensuring environment consistency and deployment stability.
•Deploy and maintain cloud Infrastructure components including compute, networking, and IAM configurations.
•Monitor system health using Azure Monitor and Application Insights, proactively identifying performance and reliability issues.
•Troubleshoot cloud deployment failures, configuration mismatches, and runtime errors to minimize downtime.
•Support CI/CD pipelines to enable automated and repeatable cloud deployments.
•Validate Infrastructure configurations prior to production promotion to reduce release risk.
•Support containerized workloads using Docker and ensure successful image builds and deployments.
•Perform log analysis and metric monitoring to optimize resource utilization and performance.
•Contribute to Incident response activities, assisting in root cause analysis and service restoration.
•Document cloud deployment processes, operational runbooks, and troubleshooting procedures. Environment: Microsoft Azure, Azure DevOps, Docker, Linux, CI/CD Pipelines, Azure Monitor, Application Insights, IAM TEACHING ASSISTANT-COMPUTER ARCHITECTURE & PROGRAMMING, CLEAVELAND STATE UNIVERSITY
08/2024 – 05/2025
•Supported Linux-based academic lab environments used by undergraduate and graduate students.
•Assisted students with debugging system-level, runtime, and configuration-related issues.
•Helped maintain availability and reliability of lab systems during high-usage academic periods.
•Supported coursework involving operating systems, low-level programming, and system concepts.
•Troubleshot Linux services, permissions, and execution issues impacting lab exercises.
•Assisted faculty in validating lab configurations and assignments prior to student release.
•Documented common issues and resolutions to reduce repeat support requests.
•Collaborated with faculty to improve operational stability of instructional infrastructure.
•Provided hands-on guidance for command-line usage and system diagnostics.
•Ensured smooth operation of academic systems supporting multiple concurrent users. Environment: Linux, Bash, System Administration, Academic Lab Infrastructure, Troubleshooting CLOUD INFRASTRUCCTURE ENGINEER, LTIMINDTREE, INDIA 09/2021 – 04/2023
•Designed and supported Azure-based cloud infrastructure for financial applications processing 5M+ transactions per month.
•Provisioned and managed infrastructure using Terraform, ensuring scalable and repeatable deployments.
•Built and maintained CI/CD pipelines using Azure DevOps, enabling automated and rellable releases.
•Implemented zero-downtime deployment strategies to minimize production impact.
•Monitored infrastructure and applications using Azure Monitor and Application Insights, reducing downtime by 35%.
•Led incident triage and root cause analysis as on-call engineer, restoring services within SLA timelines.
•Automated infrastructure provisioning and deployment workflows, reducing release cycles by 40%.
•Enforced IAM and RBAC policies aligned with enterprise security and compliance standards.
•Optimized cloud resource configurations to improve reliability, scalability, and cost efficiency.
•Authored detailed runbooks and operational documentation for production environments. Environment: Microsoft Azure, Terraform, Azure DevOps, Docker, CI/CD Pipelines, Linux, Git, Azure Monitor, Application Insights CLOUD ENGINEER INTERN, PRISTON SMART ENGINEERS, INDIA 08/2020 – 01/2021
•Assisted in provisioning and configuring Azure cloud resources including virtual machines, networking components, and identity access controls.
•Supported deployment of cloud-hosted applications across development and testing environments.
•Helped automate basic infrastructure configuration tasks using scripting and YAML-based pipelines.
•Assisted in maintaining CI/CD workflows to support build and deployment processes.
•Monitored application logs and system metrics to identify performance and avallability issues.
•Supported containerized application deployments using Docker and valldated Image bullds.
•Troubleshot configuration and connectivity Issues under guidance of senior cloud engineers.
•Documented deployment steps, environment configurations, and issue resolution procedures. Environment: Microsoft Azure, Docker, CI/CD Pipelines, Linux, Git, Monitoring & Logging Tools Education:
Masters of Science: Computer Science, Cleaveland State University 08/2023 – 05/2025 GPA: 3.83/4.00
Skills:
Cloud Platforms: — Microsoft Azure (Azure DevOps, Azure Monitor, Application Insights, IAM, Compute, Networking), AWS (EC2, S3, IAM, CloudWatch)
Infrastructure as Code (laC): — Terraform (Azure & AWS provisioning, modular laC, state management) CI/CD & DevOps: — Azure DevOps Pipelines, GitHub Actions, Jenkins, Bitbucket, Release Management, Zero-Downtime Deployments
Containers & Orchestration: — Docker, Docker Compose, Containerized Application Deployments Monitoring & Observability: — Azure Monitor, Application Insights, Log Analysis, Metrics, Alerting, Incident Response Scripting & Configuration: — Bash scripting, YAML
Security & Access Control: — IAM, Role-Based Access Control (RBAC), Secure Cloud Configurations Collaboration & Delivery: — Agile/Scrum, Cross-functional Collaboration, Production Support Projects:
CI/CD AND CONTANIERIZED DEPLOYMENT PATTERN, DOCKER, GITHUB ACTIONS, LINUX, AWS
•Implemented automated CI/CD pipelines for build, test, and deployment workflows using GitHub Actions.
•Containerized services with Docker and Docker Compose, enabling consistent deployments across environments.
•Monitored container logs and deployment failures to validate release stability and troubleshoot issues. CLOUD BASED HEALTH MONITORING SYSTEM, AZURE, DOCKER, POSTGRESQL, APPLICATIONS INSIGHTS
•Deployed containerized applications on Azure supporting 1K+ dally users with scalable cloud Infrastructure.
•Integrated Azure Application Insights for logging, monitoring, and proactive issue detection.
•Automated deployments and environment configurations to improve system reliability and release confidence. INFRASTRUCTURE AND DEPLOYMENT STRUCTURE, AWS EC2, IAM, CLOUDWATCH, TERRAFORM
•Provisioned and managed AWS EC2 instances with IAM-based access control and security configurations.
•Monitored system performance and logs using CloudWatch to ensure availability and operational stability.
•Assisted in infrastructure troubleshooting and optimized resource usage for cost and rellability. SECURE API DEPLOYMENT PLATFORM, SPRING BOOT, DOCKER, CI/CD, CLOUD MONITORING
•Containerized secure REST APIs and deployed them using automated CI/CD pipelines.
•Configured environment-based deployments and monitored API health through centralized logging.
•Improved deployment reliability by validating configuration changes before production releases.