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👨‍💻 About Me Hi there! I’m a passionate DevOps Engineer with hands-on experience in building scalable, secure, and automated infrastructure using modern cloud and DevOps tools. I specialize in streamlining development and deployment processes, helping businesses release faster, reduce downtime, and improve overall system reliability. 🚀 ⚙️ What I Bring to the Table 💡 DevOps & Cloud Expertise I have practical experience working with AWS, Docker, and CI/CD pipelines, ensuring smooth and efficient application deployment. I focus on automation, scalability, and performance optimization. 🔄 CI/CD Automation Skilled in designing and maintaining CI/CD pipelines using Jenkins and GitHub Actions, enabling faster and more reliable software delivery. 🐳 Containerization & Deployment Experienced in containerizing applications using Docker and managing deployments in cloud environments, making applications portable and efficient. ☁️ Infrastructure as Code (IaC) Proficient in using Terraform to provision and manage infrastructure, ensuring consistency and reducing manual errors. 🔍 Monitoring & Troubleshooting Strong problem-solving skills with the ability to monitor systems, identify issues, and ensure high availability and performance. 🧠 Core Skills ✅ AWS (EC2, S3, IAM) ✅ Docker & Containerization ✅ CI/CD Pipelines (Jenkins, GitHub Actions) ✅ Terraform (Infrastructure as Code) ✅ Linux & Shell Scripting ✅ Git & Version Control ✅ System Monitoring & Debugging ✅ Deployment Automation 🏭 What I Can Help You With ✔️ Build and optimize CI/CD pipelines ✔️ Deploy applications on AWS ✔️ Dockerize your applications ✔️ Automate infrastructure using Terraform ✔️ Improve system performance and reliability ✔️ Fix deployment and server issues 💬 Let’s Work Together! I’m committed to delivering reliable, scalable, and efficient solutions that help your business grow. Whether you need help with deployment, automation, or cloud infrastructure I’m here to help. 📩 Let’s connect and build something amazing together!

Hello everyone, I am a Senior DevOps & Cloud Solutions Engineer with 7+ years of extensive experience designing, automating, and managing secure, scalable, and high-performance infrastructure across AWS, Azure, and GCP. My work spans DevOps engineering, cloud architecture, infrastructure automation, CI/CD pipelines, AI/ML deployments, and full-stack development integrations. Over the years, I have: Architected Cloud Infrastructure: Designed and deployed secure, resilient, and cost-optimized architectures on AWS (EC2, EKS, ECS/Fargate, S3, RDS/Aurora, VPC, IAM, Lambda, CloudFront), Azure (VMs, AKS, VNet, App Services, ACR, Functions), and GCP (GCE, GKE, Cloud Functions, Cloud Storage). Implemented multi-region, highly available designs with DR strategies. Infrastructure as Code (IaC): Strong expertise in Terraform, AWS CDK (Python), CDK for Terraform (CDKTF), and CloudFormation, writing modular, reusable, and testable infrastructure code. Managed Terraform state and automated deployments with Terraform CLI and Terraform Cloud. Containerization & Kubernetes: Built and deployed Dockerized applications, managed Kubernetes clusters (AWS EKS, Azure AKS, GCP GKE, and on-prem), configured Ingress Controllers, Service Mesh, Persistent Volumes (NFS, GP2/GP3), and implemented service discovery across microservices. CI/CD Engineering: Developed robust pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps Pipelines, Bitbucket Pipelines, and AWS CodePipeline for multi-environment (dev, staging, prod) deployments to Kubernetes, serverless, and VM-based workloads. Monitoring, Security & Compliance: Integrated monitoring and alerting using Prometheus, Grafana, ELK Stack, CheckMK, Duply, AWS CloudWatch, and implemented security best practices with AWS WAF, GuardDuty, Security Hub, IAM policies, Azure Security Center. Designed incident response plans and enforced compliance controls. Performance & Cost Optimization: Delivered up to 60% cost savings through instance right-sizing, storage lifecycle policies, and serverless adoption. Performed database performance tuning (PostgreSQL, MySQL, Aurora), query optimization, and OS/network troubleshooting. AI/ML & MLOps Exposure: Supported AI/ML workloads in cloud environments, deploying and scaling ML models, integrating Python-based AI pipelines, and working with containerized GPU workloads for model training and inference. Programming & Scripting: Proficient in Python (automation scripts, CDKTF constructs, API integrations), TypeScript (CDK, application development), Bash (Linux automation), PowerShell (Windows automation), and C# & JavaScript (legacy support and integrations). Agile & Cross-Functional Collaboration: Experienced in Agile/Scrum workflows, collaborating with development, QA, security, and data science teams to deliver end-to-end solutions. I am passionate about automation, AI integration, and cloud-native solutions that drive business growth while maintaining security, scalability, and cost-efficiency. If you are looking for a reliable, innovative, and hands-on engineer who can bridge DevOps, cloud architecture, AI/ML pipelines, and full-stack deployments, I am ready to contribute from day one.

Hello! I'm Adarsh, a certified AWS & GCP DevOps Engineer with 5+ years of experience in building secure, scalable, and automated cloud infrastructure. I specialize in DevSecOps, CI/CD automation, Kubernetes orchestration, and cloud-native deployments that help businesses improve reliability, accelerate releases, and reduce operational overhead. I focus on designing production-grade infrastructure with automation, security, and scalability at the core. 🔧 HOW I HELP BUSINESSES: ✓ DevOps & DevSecOps Implementation: Building secure and automated delivery pipelines for faster and reliable deployments. ✓ Cloud Infrastructure Engineering: Designing scalable AWS and Azure infrastructure based on business and application requirements. ✓ CI/CD Automation: Creating production-ready pipelines using Jenkins, GitHub Actions, ArgoCD, and AWS CodePipeline. ✓ Containerization & Orchestration: Deploying and managing Dockerized applications on Kubernetes (EKS/ECS) with high availability and scalability. ✓ Infrastructure as Code (IaC): Automating cloud provisioning using Terraform, Ansible, and CloudFormation. ✓ Monitoring & Reliability Engineering: Implementing observability and alerting solutions to reduce downtime and improve performance. ✓ Automation & Scripting: Developing Python, Bash, and PowerShell automation scripts to eliminate repetitive tasks and improve operational efficiency. ✓ Troubleshooting & Optimization: Resolving complex cloud, infrastructure, networking, and deployment issues across environments. 🛠️ TECH STACK: → Cloud Platforms: AWS | GCP (Expert) → Infrastructure as Code: Terraform | Ansible | AWS CloudFormation → CI/CD & GitOps: Jenkins | GitHub Actions | ArgoCD | AWS CodePipeline → Containers & Orchestration: Docker | Kubernetes| Helm | Istio → Monitoring & Observability: Prometheus | Grafana | Dynatrace | CloudWatch | EFK Stack → Security & Compliance: SonarQube | Trivy | GitLeaks | OWASP | AWS Secrets Manager → Networking: DNS | SSL/TLS | Firewalls | API Gateway | NACL | WAF | Istio → Automation & Scripting: Python | Bash | PowerShell | Selenium | AWS Lambda → OS & Platforms: Linux (RHEL, Ubuntu, CentOS) | Windows Server | Git | Jira | ServiceNow 🎓 CERTIFICATIONS: ✓ AWS Certified Cloud Practitioner ✓ Google Certified DevOps Engineer ✓ Microsoft Azure Fundamentals (AZ-900) ✓ Microsoft Certified Database Engineer (DP-300) 💡 I help organizations modernize infrastructure, automate deployments, improve security posture, and optimize cloud operations using DevOps and cloud-native best practices.

I'm a Senior DevOps & Cloud Infrastructure Engineer with 6+ years of hands-on experience building, securing, and automating cloud infrastructure on AWS, GCP, and Azure. I specialize in: ✅ AWS infrastructure (ECS Fargate, EKS, RDS, S3, Lambda, Bedrock, Cognito, API Gateway, EventBridge, SQS, CloudTrail, CloudWatch, IAM, Secrets Manager, CodeDeploy, Control Tower) ✅ DevSecOps & Security (AWS WAF, Network Firewall, VPC architecture, SIEM/Wazuh, CJIS compliance, Site-to-Site VPN) ✅ Kubernetes & Containers (EKS, ECS, Helm, Docker, Argonaut) ✅ Infrastructure as Code (Terraform, AWS CDK) ✅ CI/CD Pipelines (GitHub Actions, CodePipeline, Bitbucket Pipelines) ✅ Monitoring & Observability (Prometheus, Grafana, Alertmanager, CloudWatch) ✅ Self-hosted PaaS (Coolify, Dokploy, Caprover) ✅ Shopify App Deployment (OAuth, CSP headers, webhooks, reverse proxy) ✅ GenAI Infrastructure (AWS Bedrock, RAG pipelines, Terraform modules for Bedrock Agents) Recent highlights: 🔹 Redesigned AWS VPC architecture with centralized egress/ingress via Network Firewall — resolved critical production security audit findings 🔹 Built production-ready Terraform module for AWS Bedrock GenAI infrastructure (RAG stack) used across Dev/Test/Prod environments 🔹 Designed HA Kubernetes clusters on Scaleway with Cloudflare failover, WireGuard VPN DR, and automated Helm/Terraform CI/CD 🔹 Deployed complete monitoring stack (Prometheus + Grafana + Alertmanager) with smart alerting for production workloads I work with startups and enterprises across SaaS, healthcare, fintech, and e-commerce. Whether it's a greenfield cloud setup, a security hardening project, or a CI/CD pipeline overhaul — I deliver clean, documented, production-ready work. Top Rated Plus on Upwork | 96% JSS | $21K+ earned

🚀 Senior DevOps Engineer | Cloud Automation | AI-Enhanced Infrastructure Hi, I’m Hardik a DevOps engineer with 6+ years of experience helping startups and enterprises build scalable, secure, and automated cloud infrastructure. I don’t just manage infrastructure I optimize, automate, and future-proof it using AI-driven workflows. 💡 What I Can Do for You 🔹 Cloud & Kubernetes (AWS/GCP/Azure) Design and manage production-grade infrastructure using EKS, Docker, Helm, and multi-region setups. 🔹 Infrastructure as Code (Terraform Expert) Automate everything — from VPCs to full microservices architecture using Terraform & CloudFormation. 🔹 CI/CD Automation Build fast and reliable pipelines using: - GitHub Actions - AWS CodePipeline - Azure DevOps - Jenkins 🤖 AI + DevOps (What Makes Me Different) ✔ Automated PR review system using AWS Lambda + Bedrock (AI) ✔ Integrated AI-based monitoring (AWS DevOps Guru) ✔ Experience with Amazon SageMaker for ML pipelines ✔ Building intelligent DevOps workflows (AI-assisted automation) 👉 I help teams move towards AI-powered DevOps, not just traditional setups. 📊 Monitoring & Reliability - Prometheus + Grafana - Datadog (APM) - PagerDuty (alerting) 🔐 Security & Cost Optimization - IAM (Least Privilege) - AWS SecurityHub - Vault (Secrets Management) - Cost optimization strategies (reduce cloud bills 💰) 🌍 Real Impact I’ve Delivered ✔ Migrated monolith → microservices (zero downtime deployments) ✔ Built multi-region EKS setup for disaster recovery ✔ Reduced dev review time using AI automation ✔ Secured production after real-world S3 security incident 🎯 Why Clients Hire Me ✅ Strong real-world production experience ✅ AI + DevOps (rare combination) ✅ Fast, reliable, and communication-focused ✅ Think like a partner, not just a freelancer 💬 Let’s Work Together If you need help with: - AWS / Kubernetes setup - CI/CD pipelines - Multi cloud setup - Terraform automation - AI-driven DevOps 👉 Send me a message - I’ll help you build it right

5+ YEARS OF EXPERIENCE As Cloud & Platform Engineer with hands-on experience designing, building, and operating modern cloud-native platforms across AWS, Google Cloud Platform (GCP), and Microsoft Azure. I work across infrastructure, Kubernetes, monitoring, security, automation, scripting, and cloud cost optimization, helping teams run scalable, secure, and cost-efficient production systems. ☁️ Multi-Cloud Infrastructure & Core Services: • AWS: EC2, VPC, ALB/NLB, Auto Scaling, RDS, DynamoDB, S3, IAM, Route 53 • GCP: Compute Engine, VPC, Cloud Load Balancing, Cloud SQL, Cloud Storage, IAM • Azure: Virtual Machines, Virtual Network, Azure Load Balancer, Azure SQL, Blob Storage, Azure AD • Cloud networking, high availability, fault tolerance, and scalability design ☸️ Kubernetes & Container Platforms: • Kubernetes (production workloads) • Amazon EKS, Google GKE, Azure AKS • Docker • Helm, Kustomize • Ingress controllers (NGINX, cloud-native ingress) • Service networking and autoscaling (HPA, rolling updates) ⚙️ Infrastructure Automation & IaC: • Terraform • Infrastructure as Code best practices • Environment provisioning and lifecycle management • Cloud resource standardization and reuse 🚀 CI/CD, Deployment & DevOps Tooling: • GitHub Actions • GitLab CI/CD • Jenkins • Argo CD (GitOps) . Octopus deploy • Automated build, test, and deployment pipelines • Zero-downtime deployment strategies 📊 Monitoring, Logging & Observability: • Prometheus • Grafana • AWS CloudWatch • GCP Cloud Monitoring & Logging • Azure Monitor & Log Analytics • Centralized logging, metrics, alerting, and dashboards 🔐 Security, Identity & Compliance: • Kubernetes RBAC • Secrets management (Kubernetes Secrets, cloud-native secret services) • Cloud IAM (AWS IAM, GCP IAM, Azure AD) • Secure container workloads and least-privilege access • Basic vulnerability awareness and platform hardening 📦 Artifact & Container Registry Management: • Amazon ECR • Google Artifact Registry • Azure Container Registry • Image versioning, tagging, scanning, and lifecycle cleanup 💰 FinOps & Cost Optimization: • Kubecost (Kubernetes cost monitoring) • Cloud budgets and cost dashboards • Resource requests/limits optimization • Identifying idle, underutilized, and over-provisioned resources • Cost-aware scaling strategies ⚙️ Automation & Scripting: • Bash / Shell scripting • Python for automation tasks • Workflow automation and operational tooling • Linux system administration 🛠️ Operations, Reliability & Support: • Production troubleshooting and root cause analysis • Performance tuning and capacity planning • High availability and resilience improvements • Documentation, runbooks, and team handover I work with startups and engineering teams that need strong cloud platforms — whether setting up multi-cloud infrastructure, running Kubernetes at scale, improving observability and security, or controlling cloud spend.