Daman P.

Senior DevOps and Cloud Engineer with 15+ years of experience across software engineering, cloud infrastructure, deployments, automation, and production systems. I work with development teams to design, build, secure, automate, and maintain reliable infrastructure across AWS, Microsoft Azure, and Google Cloud Platform. My background as a full-stack/backend developer also helps me bridge the gap between application development and infrastructure. I understand not only how to provision cloud resources, but also how Node.js, .NET, Python, databases, APIs, containers, and background services behave in production. My core DevOps and cloud experience includes: • AWS – EC2, ECS/Fargate, ECR, RDS, S3, CloudFront, Route 53, IAM, VPC, CloudWatch, load balancing, backups, security, and cost optimization • Microsoft Azure – App Services, Azure Functions, Container Apps, VNets, Private Endpoints, Private Link, Managed Identities, RBAC, Key Vault, Azure SQL, storage, monitoring, and secure multi-environment architecture • Google Cloud Platform – Compute Engine, Cloud Run, GKE, Cloud SQL, VPC, IAM, Secret Manager, Cloud Monitoring, and cloud-native application deployments • Infrastructure as Code – Terraform-based infrastructure provisioning, reusable modules, environment separation, configuration management, and repeatable deployments • CI/CD – GitHub Actions, Azure DevOps, cloud-native build/deployment pipelines, automated testing, environment promotion, rollback strategies, and Git-based deployment workflows • Containers & Orchestration – Docker, Docker Compose, Kubernetes, GKE/EKS, container registries, health checks, autoscaling, resource optimization, and production deployment strategies • Databases – PostgreSQL, MySQL, and SQL Server, including managed cloud databases, backups, performance tuning, connection management, high availability, and disaster recovery planning • Linux & Automation – Linux server administration, Bash, Python, deployment scripting, Nginx, SSL/HTTPS, process management, scheduled jobs, and operational automation • Monitoring & Reliability – centralized logging, metrics, alerting, application monitoring, infrastructure health checks, incident troubleshooting, performance optimization, and production diagnostics • Cloud Security – IAM/RBAC, least-privilege access, secrets management, private networking, firewall/security groups, encryption, secure environment design, vulnerability reduction, and DevSecOps practices I can also support infrastructure for AI and LLM-powered applications, including deployment of AI microservices, API and secret management, containerized inference services, monitoring latency and usage, scaling workloads, and integrating services such as Vertex AI / Gemini and other AI APIs into production environments. I have worked on production architectures involving Dockerized APIs and services, AWS deployments, database-backed applications, CI/CD, secure API integrations, monitoring, and scalable cloud environments. I’m comfortable joining an existing infrastructure, auditing what is already there, identifying reliability or security issues, and implementing improvements without unnecessarily overengineering the system. I can help with: • Cloud infrastructure design and migration • Terraform / Infrastructure as Code • CI/CD pipeline setup and improvement • AWS, Azure, and GCP environments • Docker and Kubernetes deployments • Production troubleshooting • Cloud networking and security • PostgreSQL and managed database infrastructure • Monitoring, logging, backups, and disaster recovery • DevSecOps and security hardening • Cloud cost optimization • AI / LLMOps infrastructure • Development, staging, and production environment design I focus on infrastructure that is secure, maintainable, observable, and easy for development teams to work with. If you need someone who can understand both the application and infrastructure sides of your platform—and take ownership from architecture through deployment and production support—I’d be happy to discuss your environment.