Aditya K.

Solution Architect and DevOps Engineer

Hello everyone, I am a Senior DevOps & Cloud Solutions Engineer with 8+ 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.