Great score on Find the Length of the Longest Substring Without Repeating Characters, Difficulty Easy
Great score on Design a Scalable and Compliant SaaS Platform Architecture, Difficulty Hard
Great score on Strategize Microservices Deployment on AWS EKS for Peak Load Management, Difficulty Hard
Managed auto-scaling and secure deployments of applications using AWS Image Builder and Lambda functions, optimizing resource utilization and high availability.
Deployed and maintained containerized applications with Docker and Kubernetes on both cloud (AWS, Azure) and on-premises infrastructure.
Published and managed products on cloud marketplaces, including AWS Marketplace (leveraging Nitro Enclaves for secure workloads) and Azure Marketplace using Kubernetes CNAB bundles.
Built and maintained CI/CD pipelines using Ansible, ArgoCD and GitLab Actions, accelerating software delivery and improving deployment reliability.
Implemented robust monitoring and observability using ELK stack, Prometheus, Grafana, and node-exporter, including custom Python and Bash scripts for request tracking and system performance analysis.
Secured cloud and on-prem environments by configuring RBAC, iptables, and aligning with CIS Benchmarks, enhancing security posture.
Managed AWS cloud infrastructure: EC2, S3, IAM, and VPC.
Automated deployment workflows using Gitlab CI/CD Pipeline.
Automated deployment workflows using AWS Image Builder and CloudFormation.
Improved scalability, reliability, and operational efficiency of cloud-based systems.
Designed and implemented CI/CD pipelines using ArgoCD and GitLab Actions, significantly reducing deployment time and human error. Integrated automated testing and Docker image builds into the pipeline for seamless application delivery. Used Ansible to provision infrastructure and configure environments for consistency and scalability.
Containerized multiple services using Docker and deployed them with Kubernetes on both cloud platforms and bare-metal servers. Managed Helm charts and applied RBAC policies to enforce security standards across services. Used Prometheus and Grafana for monitoring application health and system performance. Tuned autoscaling and resource limits to ensure efficient usage in high-load environments.
Setup a production-ready, secure, and optimized Hetzner Cloud or Dedicated Server. Includes Linux installation & hardening, firewall (UFW/iptables), SSH key setup, Docker + Compose, monitoring with Prometheus & Grafana, backup strategy, domain/DNS config, private networking & floating IPs. Optional: CI/CD pipelines, Kubernetes (k3s/k8s).





