DevOps Expert with 7+ years delivering scalable cloud infrastructure and CI/CD pipelines for multinational companies. I help teams automate, secure, optimize platforms, reduce cloud costs, prevent slow releases, and improve reliability. I specialize in designing and maintaining modern cloud environments that enable businesses to ship software faster and with greater confidence. My background includes working on complex DevOps projects in one of the world’s largest multinational companies, where I built and operated production-grade Kubernetes clusters, implemented GitOps workflows with Argo CD, and delivered Infrastructure as Code solutions using Terraform and Helm. I have extensive expertise provisioning secure, high-availability environments on AWS. This includes designing and managing container platforms with EKS and ECS, automating infrastructure deployments, configuring networking and load balancing, implementing CDN and security layers using CloudFront, AWS WAF, and AWS Shield, and integrating managed services such as RDS, S3, MSK/Kafka, Lambda, and scalable compute resources. I also have strong experience improving cloud cost efficiency through better infrastructure design, resource optimization, workload right-sizing, logging cost control, tagging strategies, and reducing unnecessary cloud spend while maintaining reliability and performance. I’m certified in Kubernetes and AWS, reflecting my dedication to continuous learning and delivering reliable, modern cloud solutions. Key Skills & Tools: - CI/CD & GitOps: Jenkins, GitHub Actions, GitLab CI, Azure DevOps, Argo CD - Kubernetes, Docker, Terraform, Helm, Vault - Cloud & Compute: AWS, VPC, EKS, ECS, Lambda, serverless architectures - AWS Services: CloudFront, AWS WAF, AWS Shield, RDS, S3, MSK/Kafka, SQS - Artifact Management: Nexus, JFrog Artifactory - Service Mesh: HashiCorp Consul, Istio - Cloud Platforms: AWS and multi-cloud environments - Monitoring & Logging: DataDog, Prometheus, Grafana, ELK Stack - Cost Optimization: cloud cost reduction, resource right-sizing, tagging, logging optimization - Scripting & Automation: Bash, Python Whether you need support migrating to the cloud, optimizing delivery pipelines, reducing cloud costs, or building secure, scalable infrastructure from the ground up, I’m here to help you achieve your goals efficiently and with confidence.

I help companies build, migrate, and scale cloud infrastructure — from single-server setups to fully automated, production-ready environments. My core focus is AWS, DevOps, CI/CD, and infrastructure automation, with an emphasis on reliability, scalability, security, and cost optimization. 🔧 What I can help you with: AWS Cloud Infrastructure (EC2, ECS, EKS, RDS, S3, IAM, VPC, CloudWatch) Infrastructure as Code (Terraform) – modular, reusable, production-grade setups CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) Docker & Kubernetes – containerized deployments and orchestration Serverless architectures (AWS Lambda, API Gateway) System design & scaling – load balancing, auto-scaling, high availability Monitoring & observability – logs, metrics, alerting, incident response Performance optimization & troubleshooting in production environments Cloud cost optimization and resource right-sizing Security best practices (IAM, secrets management, network isolation) Migrations to cloud (on-prem / legacy → AWS) 🚀 How I work: Focus on real production results, not just configs Build systems that are stable, predictable, and easy to maintain Reduce manual work through automation and clean workflows Quickly identify and fix bottlenecks and reliability issues I’ve worked with startups and growing SaaS products, helping them move from fragile setups to scalable, production-ready infrastructure. If you need someone who can take ownership, improve your system, and make it actually work under load

Senior DevOps and Cloud Architect with 6+ years building production-grade infrastructure across AWS, Azure, and Kubernetes. I help engineering teams ship faster, cut cloud spend, harden security, and stop firefighting releases. Multi-cloud expertise across DevOps, AIOps, DevSecOps, Agentic AI, and Cloud Architecture. 𝗖𝗜/𝗖𝗗 𝗮𝗻𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲: - CI/CD pipelines: GitHub Actions, Azure DevOps YAML, Jenkins, GitLab CI, ArgoCD, CircleCI - IaC: Terraform, Bicep, ARM Templates, AWS CloudFormation, Packer, Pulumi - Config management: Ansible, Chef, Shell, PowerShell, Bash, Groovy - Version control: GitHub Enterprise, EMU migration, branching strategies (trunk-based, GitFlow, release-train) - Semantic Versioning (SemVer), automated release notes, deployment reporting - Artifact management: JFrog Artifactory, Nexus, Azure Artifacts, Amazon ECR 𝗔𝗪𝗦 𝘀𝘁𝗮𝗰𝗸: EKS, ECS, EC2, Lambda, S3, CloudFront, RDS, DynamoDB, IAM, VPC, Route 53, CloudWatch, CodePipeline, CodeBuild, CodeDeploy, ECR, Systems Manager, Secrets Manager, EventBridge, SQS, SNS, API Gateway, CloudFormation 𝗔𝗪𝗦 𝗔𝗜 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀: Amazon Bedrock, SageMaker, Comprehend, Textract, Rekognition, Transcribe, Translate, Personalize, Q Developer 𝗔𝘇𝘂𝗿𝗲 𝘀𝘁𝗮𝗰𝗸: AKS, Azure DevOps Services and Server, Logic Apps, Functions, App Service, Container Registry, Key Vault, Service Bus, Application Insights, Azure Monitor, Defender for Cloud, Cosmos DB, Storage Accounts, Front Door, API Management 𝗔𝘇𝘂𝗿𝗲 𝗔𝗜 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀: Azure OpenAI Service, Azure AI Foundry, AI Search, Document Intelligence, Cognitive Services, Speech, Vision, Language, ML Studio 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗮𝗻𝗱 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀: Production AKS and EKS with HA and DR, self-managed K8s, Helm, Kustomize, ingress controllers (NGINX, Traefik), HPA and VPA, network policies, service mesh, Docker, container scanning, GitOps with ArgoCD and Flux 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 𝗮𝗻𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Trivy, SonarQube SAST, Veracode, Snyk, OWASP gates, secret detection, DAST, OPA policy enforcement, RBAC, Zero Trust, AWS Security Hub. Compliance work across SOC 2, HIPAA, ISO 27001, PCI-DSS, GDPR. 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗔𝗜𝗢𝗽𝘀: Prometheus, Grafana, Kibana, ELK stack, Zabbix, Azure Monitor, CloudWatch, Application Insights. AI-enhanced alert correlation, automated incident triage, MTTR cuts across production fleets. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹𝘀: Python, Node.js, React, REST APIs, Shell Scripting, PowerShell, Groovy, JFrog Artifactory, Zabbix, Backstage, n8n 𝗪𝗵𝗮𝘁 𝘀𝗲𝘁𝘀 𝗺𝘆 𝘄𝗼𝗿𝗸 𝗮𝗽𝗮𝗿𝘁 - 𝗔𝗜-𝗮𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗗𝗲𝘃𝗢𝗽𝘀: I build platforms where engineers describe infrastructure in plain English and the system provisions it. Built on Azure OpenAI GPT-4o, MCP servers, Azure AI Foundry, GitHub Copilot at scale, and multi-agent orchestration. Few DevOps freelancers can deliver this end-to-end. If your team is exploring AI-powered internal developer platforms, agentic AIOps, natural-language IaC, or Copilot enterprise rollout, this is my lane. 𝗖𝗼𝗺𝗺𝗼𝗻 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁𝘀: - Greenfield CI/CD design and build on AWS or Azure - AKS or EKS production hardening with HA, DR, full observability - Cloud cost audit and rightsizing (payback inside the first month) - DevSecOps gate integration into existing pipelines - GitHub Enterprise EMU migration and branching strategy reset - Agentic AI platform on internal infra (Backstage + MCP + Azure OpenAI) - Embedded DevOps lead for release management and on-call 𝗥𝗲𝗰𝗲𝗻𝘁 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘄𝗼𝗿𝗸: - Built end-to-end CI/CD for PLM (Windchill) from zero. Owned full release management. Cut deploy time from hours to under 15 minutes. - Architected Jenkins master-slave CI/CD, Docker, Ansible IaC across multiple engagements. - .NET app modernization, Azure golden images with Packer, Logic Apps automation, DR and HA strategy. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: - AZ-400 Azure DevOps Engineer Expert - AZ-104 Azure Administrator - AZ-900 Azure Fundamentals - Certified Kubernetes Administrator (CKA) - HashiCorp Terraform Associate - GitHub Copilot Certified - AWS AI Certified 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽𝘀 𝗮𝗻𝗱 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴: - GitHub Copilot Training Provider - Claude AI and AI Productivity Workshops - DevOps and Secure CI/CD Workshops - Kubernetes and Cloud Automation Training - GitHub Actions and Azure DevOps Hands-on Sessions 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝘀𝗲𝗿𝘃𝗲: SaaS, FinTech, Healthcare, E-commerce, Manufacturing, Enterprise IT. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸: - Clear written scope and timeline before any code is written - Daily progress updates, no disappearing acts - Every pipeline and module documented so your team can operate it without me - Staging-first deployments. You approve. Then production. - Automation-first. If I do something twice, it gets a script. - Security and observability baked in from day one. Send your cloud stack + top bottleneck. I’ll send the plan today.

Here’s a clean, Upwork-ready rewrite you can paste into your profile. I kept it human, specific, and keyword-rich for search—while showcasing your 14+ years across cloud, DevOps, and automation. ✅ Cloud Architect & DevOps Engineer | AWS • GCP • Azure | Kubernetes • Terraform • CI/CD • DevSecOps I help companies design, secure, and automate cloud platforms that scale—from zero to production and beyond. With 14+ years across cloud engineering, DevOps architecture, and infrastructure automation, I’ve built end-to-end systems that start from a blank account and evolve into resilient, compliant, cost-efficient production environments. I work hands-on across AWS, GCP, and Azure; design robust networking (VPC/VNet, peering, VPN, Direct Connect/Interconnect, Transit); and automate everything with Terraform/Pulumi and modern CI/CD. Security and observability are baked in from day one. What I do Greenfield to Production: Ground-up cloud architecture, IaC, GitOps, and day-2 operations. Secure by Design: Network segmentation, least-privilege IAM, secrets, policy as code, and DevSecOps pipelines. Kubernetes at Scale: EKS/GKE/AKS design, cluster add-ons, multi-cluster/multi-region, HPA/VPA, autoscaling. High Throughput Systems: Architecting for millions of requests/second with caching, queues, and horizontal scale. Cost & Reliability: Right-sizing, spot strategy, autoscaling, SLOs, and disaster recovery runbooks. Recent impact (high level) Designed multi-region Kubernetes + GitOps platform to support spiky workloads with safe blue/green rollouts. Implemented full DevSecOps pipeline (SAST/DAST/Secrets/Dependency scanning) with policy gates and audit trails. Delivered VPC/VNet designs with private service access, egress controls, and zero-trust access patterns. Services Cloud Infrastructure ✔ Multi-cluster, multi-region VPC/VNet architectures with zonal resilience ✔ Security group / firewall / route audits ✔ Subnetting, routing, NAT/egress, private endpoints, WAF, IDS/IPS integration ✔ Connectivity: Direct Connect / Interconnect / ExpressRoute, IPSec VPN, Transit topologies, VPC peering ✔ AWS services: EKS, EC2, Lambda, RDS, Aurora, S3, CloudFront, ALB/NLB, Systems Manager, IAM DevOps & Automation ✔ Terraform (modules, workspaces, Terragrunt), Pulumi ✔ CloudFormation where required ✔ CI/CD: GitHub Actions, GitLab CI, Azure DevOps, Jenkins, CircleCI, TravisCI ✔ GitOps with Argo CD / Flux, progressive delivery (blue/green, canary) ✔ DevSecOps: SAST/DAST/Secrets/Dependency scanning, SBOMs, policy as code (OPA/Conftest), image signing Kubernetes & Containers ✔ Managed K8s: EKS / GKE / AKS, plus K3s for edge/lab ✔ Helm chart authoring & lifecycle, Kustomize overlays, ApplicationSets ✔ Dockerization of .NET, Java, PHP, Go, Python apps; multi-stage builds; security baselines ✔ Observability: Prometheus/Grafana, logging, tracing; alerts tied to SLOs ✔ Autoscaling: HPA/VPA/Cluster Autoscaler; spot/priority classes; node pools & taints/tolerations How I work Architecture first, automation always: Clear diagrams, ADRs, and repeatable IaC. Security & compliance built-in: Least-privilege IAM, encryption, image/signature policies, supply-chain controls. Operability: Dashboards, alerting, runbooks, and DR/backup strategies you can actually use. Transparent delivery: Milestone plans, PR-driven changes, and documentation for easy handover. Tech stack (abridged) Cloud: AWS, GCP, Azure IaC: Terraform, Terragrunt, Pulumi, CloudFormation CI/CD: GitHub Actions, GitLab, Azure DevOps, Jenkins, CircleCI, TravisCI Kubernetes: EKS, GKE, AKS, K3s • Helm, Kustomize, Argo CD/Flux • Ingress/WAF/Cert-Manager Security: IAM, KMS/Envelope, OPA/Conftest, SAST/DAST, image signing, SBOMs Data & Runtime: RDS/Aurora, S3/GCS/Blob, Redis, MQ, Lambda/Functions, container registries Observability: Prometheus, Grafana, Loki/ELK, OpenTelemetry Engagement options Architecture & Implementation: Design → IaC → CI/CD → secure rollout. Platform Hardening:Security review, IAM/VPC hardening, cost/risk reduction. Kubernetes Enablement:Cluster build-out, add-ons, GitOps, SRE baselines. Migrations: Lift-and-shift with refactoring for scale, reliability, and cost. Let’s talk If you need a secure, automated cloud foundation—or want to level up what you already have—send a message with your goals and timelines. I’ll propose a practical plan with clear milestones and outcomes.

𝐃𝐞𝐯𝐎𝐩𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 + 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 = 𝐅𝐚𝐬𝐭𝐞𝐫 𝐫𝐞𝐥𝐞𝐚𝐬𝐞𝐬, 𝐬𝐦𝐚𝐫𝐭𝐞𝐫 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐜𝐥𝐨𝐮𝐝 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 I’m a 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with strong expertise in multi-cloud platforms (𝐀𝐖𝐒, 𝐀𝐳𝐮𝐫𝐞, 𝐆𝐂𝐏) and a solid background in Python backend development, ETL/ELT pipelines, and data workflows. I specialize in designing cloud-native systems that are secure, automated, and optimized for performance and cost. 𝐇𝐨𝐰 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮: - Automate CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps) - Deploy & manage infrastructure with Terraform, Ansible, Docker, Kubernetes - Build reliable ETL/ELT pipelines for data ingestion, transformation, and analytics - Develop Python backend services for APIs, microservices, and automation - Manage cloud databases (SQL & NoSQL) and data warehouses (BigQuery, Redshift, Snowflake, Azure Synapse) - Integrate workflows with dbt, Airflow, and cloud-native data services - Cloud monitoring, logging, and cost optimization (CloudWatch, Azure Monitor, GCP Logging, Grafana) 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐨𝐨𝐥𝐬: - Cloud Platforms: AWS, Azure, GCP - DevOps: CI/CD, Terraform, Ansible, Jenkins, GitHub Actions, Docker, Kubernetes - Data Engineering: ETL/ELT, dbt, Apache Airflow, Data Warehousing - Programming: Python, Bash, SQL - Databases: MySQL, PostgreSQL, DynamoDB, MongoDB, BigQuery, Redshift - Monitoring & Logging: Prometheus, Grafana, ELK, CloudWatch, Azure Monitor 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: - Automated multi-cloud CI/CD pipelines that reduced release cycles by 60% - Built scalable ETL workflows moving terabytes of data daily across AWS & GCP - Migrated on-premise systems to Azure and AWS with zero downtime - Designed Kubernetes clusters to run both data pipelines and microservices efficiently I focus on clear communication, fast delivery, and building systems that scale with your business needs. 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐚𝐧𝐝 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐡𝐨𝐰 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡 𝐃𝐞𝐯𝐎𝐩𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐜𝐥𝐨𝐮𝐝-𝐧𝐚𝐭𝐢𝐯𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐝𝐫𝐢𝐯𝐞 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐟𝐨𝐫𝐰𝐚𝐫𝐝!

🛡️ 𝗚𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗣𝗹𝗲𝗱𝗴𝗲: 𝗜 𝘄𝗶𝗹𝗹 𝗴𝗶𝘃𝗲 𝘆𝗼𝘂 𝗮 𝟭𝟬𝟬% 𝗿𝗲𝗳𝘂𝗻𝗱 𝗶𝗳 𝗜 𝗱𝗼𝗻’𝘁 𝗺𝗲𝗲𝘁 𝗼𝗿 𝗲𝘅𝗰𝗲𝗲𝗱 𝘆𝗼𝘂𝗿 𝗲𝘅𝗽𝗲𝗰𝘁𝗮𝘁𝗶𝗼𝗻𝘀, 𝗻𝗼 𝗵𝗮𝘀𝘀𝗹𝗲, 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱! 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 (𝗧𝗼𝗽 𝟭0% 𝗼𝗳 𝗳𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿𝘀 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸) | 𝗔𝗪𝗦 & 𝗔𝘇𝘂𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (𝗔𝗪𝗦 + 𝗔𝘇𝘂𝗿𝗲) With 8+ years of hands-on experience, I design, build, and operate secure, scalable, and cost-optimized cloud infrastructure across AWS and Microsoft Azure. I help startups, SaaS companies, and enterprises run production-grade systems that are reliable, compliant, and ready to scale. My work is practical and battle-tested, focused on real production environments, not theoretical architectures. From high-availability cloud design and Kubernetes platforms to fully automated CI/CD pipelines, I deliver end-to-end DevOps solutions that improve performance, reliability, and cost control. I work closely with founders, engineering teams, and stakeholders to ensure cloud strategy aligns with business goals, whether that’s rapid MVP delivery, SOC 2 / HIPAA compliance, hybrid connectivity, or multi-region global deployments. 𝗖𝗹𝗼𝘂𝗱, 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗔𝗪𝗦 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 EC2, S3, RDS, VPC, Lambda, CloudFront, Route 53, IAM, CloudWatch, CloudTrail 𝗔𝘇𝘂𝗿𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 Virtual Machines, App Service, AKS, Azure SQL, Blob Storage, Virtual Networks, Application Gateway, Azure Monitor, Log Analytics 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗜/𝗖𝗗 GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps Pipelines, AWS CodePipeline 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 (𝗜𝗮𝗖) Terraform, Azure Bicep, CloudFormation, ARM Templates, AWS CDK, Ansible 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀 & 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 Docker, Kubernetes, Amazon EKS, Azure AKS, ECS Fargate, Helm, Karpenter 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀 & 𝗘𝘃𝗲𝗻𝘁-𝗗𝗿𝗶𝘃𝗲𝗻 AWS Lambda, Azure Functions, API Gateway, EventBridge, Event Grid, DynamoDB, Cosmos DB 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 AWS WAF, GuardDuty, Azure Defender, Key Vault, KMS, Security Center Experience aligning infrastructure with SOC 2, HIPAA, CIS, and NIST 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Auto-scaling, Azure Advisor, Trusted Advisor, Spot Instances, Savings Plans, rightsizing 𝗕𝗮𝗰𝗸𝘂𝗽 & 𝗗𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝗥𝗲𝗰𝗼𝘃𝗲𝗿𝘆 AWS Backup, Azure Backup, S3 Cross-Region Replication, Geo-Redundant Storage, Route 53 & Traffic Manager failover 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 & 𝗛𝘆𝗯𝗿𝗶𝗱 VPC & VNet Peering, Transit Gateway, ExpressRoute, Site-to-Site VPN, PrivateLink 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 • Designed secure AWS–Azure hybrid architectures using VPNs and private endpoints for global SaaS platforms • Architected multi-AZ EKS and AKS clusters achieving 99.99% uptime with blue-green and rolling deployments • Migrated monolithic applications to serverless and containerized platforms, reducing cloud costs by ~55% • Built GitOps-driven CI/CD pipelines with Terraform, GitHub Actions, and GitLab CI including security scans and alerts • Implemented centralized logging, monitoring, and alerting, cutting incident resolution time by 70% • Designed multi-region DR and failover strategies for finance and healthcare workloads 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 AWS Certified Solutions Architect – Professional AWS Certified DevOps Engineer – Professional AWS Certified Developer – Associate Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Microsoft Certified: Azure Administrator Associate (AZ-104) Certified Kubernetes Administrator (CKA) 𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝟯𝟬-𝗺𝗶𝗻𝘂𝘁𝗲 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 𝗼𝗿 𝗰𝗹𝗼𝘂𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘂𝗱𝗶𝘁 𝘁𝗼 𝗿𝗲𝘃𝗶𝗲𝘄 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗰𝗼𝘀𝘁 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆.

Production cloud infrastructure usually breaks in the same places: unstable deployments, rising AWS costs, weak observability, fragile Kubernetes clusters, messy Terraform, poor CI/CD, and cloud environments that were built quickly but now need to be made reliable, secure, and scalable. I help startups, SaaS companies, fintech teams, and growing engineering organizations build and operate production-ready cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, observability, security, and automation. AWS is my primary cloud platform, and most of my work is around AWS infrastructure, EKS, EC2, RDS, VPC, IAM, S3, CloudFront, Route53, Lambda, ECR, ECS, CloudWatch, WAF, and cost optimization. I also have strong hands-on experience with Google Cloud Platform and Microsoft Azure, including GKE, Cloud SQL, Pub/Sub, Cloud Build, Azure DevOps, Azure infrastructure, CI/CD pipelines, and multi-cloud environments. I usually get called in when: — AWS infrastructure was built fast and now needs to be made production-grade — Kubernetes or EKS/GKE clusters are unstable, expensive, or difficult to operate — Terraform exists, but environments still drift or changes feel risky — CI/CD pipelines have too many manual steps or unreliable deployments — Cloud costs are growing faster than the product — Teams lack proper monitoring, alerting, logs, dashboards, or incident visibility — Security, IAM, networking, secrets, and access controls need cleanup — Applications need to be migrated from VMs or manual servers to cloud-native infrastructure — Engineering teams need a reliable DevOps/SRE partner who can own infrastructure work end to end What I can help with: AWS Cloud Infrastructure Designing, building, troubleshooting, and improving AWS environments using EC2, VPC, IAM, RDS, EKS, ECS, ECR, Lambda, S3, CloudFront, Route53, WAF, CloudWatch, SQS, SNS, API Gateway, Auto Scaling, Load Balancers, and cost controls. Kubernetes & Containers Production Kubernetes setup and support using EKS, GKE, Helm, ArgoCD, Helmfile, Docker, ingress controllers, autoscaling, pod disruption budgets, network policies, service discovery, resource optimization, and cluster troubleshooting. Terraform & Infrastructure as Code Clean, reusable, documented Terraform modules for AWS, GCP, and Azure. I help with remote state, multi-environment setups, Terraform refactoring, drift reduction, CloudFormation, AWS CDK, and infrastructure automation. CI/CD & Deployment Automation Reliable pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, AWS CodePipeline, Docker builds, Helm deployments, GitOps workflows, staged rollouts, blue-green deployments, rollback strategies, and release automation. Observability & SRE Monitoring, logging, tracing, dashboards, and alerts using Prometheus, Grafana, CloudWatch, Loki, OpenTelemetry, Datadog, ELK Stack, PagerDuty, and incident response workflows. I focus on alerts that are useful, not noisy. Cloud Cost Optimization & FinOps AWS and Kubernetes cost reviews, unused resource cleanup, right-sizing, RDS optimization, S3 lifecycle policies, NAT/data transfer review, Savings Plans/Reserved Instance evaluation, Kubernetes resource efficiency, and monthly cost reporting. Security & Production Readiness IAM hardening, least-privilege access, secrets management, Vault, External Secrets, network security, security groups, WAF, backup readiness, disaster recovery planning, public exposure review, SOC2-ready practices, and cloud security baselines. Cloud Migration & Modernization Migration from traditional servers, VMs, or manual deployments to AWS, Kubernetes, Terraform, CI/CD, and cloud-native architecture. I can help modernize fragile infrastructure without disrupting your product. How I work: I do not build demo infrastructure that only works during handoff. I build systems your team can understand, operate, modify, and scale after I am gone. My focus is clean documentation, reliable automation, secure access, practical monitoring, and infrastructure that supports the business instead of slowing it down. If your AWS, Kubernetes, Terraform, CI/CD, or cloud infrastructure is unstable, expensive, hard to deploy, or difficult to monitor, send me a message with what is currently broken. I will tell you honestly what I would check first and whether I can help. Keywords / Relevant Skills: DevOps Engineer, Cloud Engineer, AWS Engineer, AWS DevOps Engineer, AWS Cloud Engineer, AWS Solutions Architect, Azure Engineer, Azure DevOps Engineer, GCP Engineer, Google Cloud Engineer, Site Reliability Engineer, SRE, Platform Engineer, Kubernetes Engineer, Terraform Engineer, CI/CD Engineer, Infrastructure Engineer, Cloud Architect, DevSecOps Engineer, Automation Engineer, FinOps, Cloud Cost Optimization, Cloud Migration, Cloud Security, Linux, Docker, Kubernetes, EKS, GKE, AKS, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI, Azure DevOps, ArgoCD, Helm, Prometheus, Grafana, CloudWatch, Datadog, OpenTelemetry.

I specialize in delivering DevOps, cloud infrastructure, and software engineering solutions for startups and enterprises. With over 9 years of hands-on experience in modern cloud platforms, automation, and application development, I help organizations scale efficiently, securely, and with confidence. My work spans a wide range of initiatives, including: • Providing end-to-end DevOps consulting, including Kubernetes migrations, AWS EKS optimization, Terraform infrastructure automation, and GitOps workflows (ArgoCD). • Delivering cloud cost optimization strategies, reducing client infrastructure spend by 20–30% through autoscaling, containerization, and performance tuning. • Designing and implementing secure, resilient infrastructure leveraging WAF, HashiCorp Vault, and best practices in cloud security and compliance. • Building and optimizing backend applications using Python, Django, Celery, and RabbitMQ, enabling scalable, high-performance systems. • Offering 24/7/365 support with guaranteed SLAs, ensuring client environments remain reliable, secure, and production-ready. • Collaborating with global talent and integrating AI-powered tools (GitHub Copilot, Cline) to accelerate development and reduce time-to-delivery. • Partnering with clients to create strategic automation roadmaps and long-term cloud-native product development initiatives. Core Skills • DevOps: Kubernetes, Docker, Helm, Terraform, GitLab CI/CD, Jenkins • Cloud: AWS (EKS, EC2, RDS, S3, VPC, WAF, IAM, CloudWatch) • Programming: Python, Go, Bash, Java • Observability & Security: Prometheus, Grafana, ELK, VictoriaMetrics, HashiCorp Vault • Business: SLA-backed support, cost optimization, scalable product prototyping

🚀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 | 𝟭𝟬+ 𝗬𝗲𝗮𝗿𝘀 | 𝗔𝗪𝗦, 𝗚𝗖𝗣, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 Hi, I’m 𝗦𝗵𝗶𝘃𝗮𝗺 — a results-driven DevOps consultant helping startups and enterprises build, migrate, and scale infrastructure across AWS, GCP, and Kubernetes environments. I specialize in Infrastructure as Code (IaC), cloud cost optimization, and automated CI/CD pipelines that ensure scalability, security, and high availability. 💼 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿: • 🔹 Cloud Migration & Architecture (AWS/GCP): Lift-and-shift, redesigns, cost governance • 🔹 Kubernetes Enablement: K8s cluster setup (on-prem & cloud), Helm, EKS, ECS, Knative • 🔹 Infrastructure as Code: Terraform, CloudFormation, modular, DR-ready designs • 🔹 CI/CD Automation: Jenkins, GitHub Actions, AWS CodePipeline, Bitbucket • 🔹 Monitoring & Logging: Prometheus, Grafana, ELK, Splunk, Zabbix • 🔹 Security, Networking, and Disaster Recovery: VPN, SSL, IAM, VPC, backups 🧩 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: • ✅ Migrated & managed 100+ applications across AWS & GCP • ✅ Led DevOps transformation for Fortune 500 enterprises • ✅ Helped e-commerce platforms cut cloud spend by 30% using automation & scripts • ✅ Enabled full DevOps pipelines for startups within 2 weeks, ready for scale 🛠️ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: Cloud & IaC: AWS, GCP, Terraform, CloudFormation, Lambda Containers: Docker, Kubernetes, Helm, EKS, ECS CI/CD & Automation: Jenkins, GitHub Actions, Bitbucket Pipelines, Ansible, Groovy, Bash Languages: Python, Shell Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Aurora Monitoring & Logs: Prometheus, Grafana, ELK, Splunk, Graylog, Nagios, Zabbix DevOps Stack: GitHub, Bitbucket, Jira, SonarQube, Nginx, Apache, SSL, VPN ✅ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲: • Deep cloud & Kubernetes expertise — from startups to enterprise-level systems • Fast, clear communication with on-time delivery • Proactive in identifying performance bottlenecks and automation opportunities • Transparent, client-aligned delivery focused on long-term value Let’s connect to build a secure, scalable, and cost-effective infrastructure for your product. 🟢 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗻𝗼𝘄– open to both short-term and long-term DevOps projects

𝗚𝘂𝗿𝘄𝗶𝗻𝗱𝗲𝗿 | 𝗗𝗲𝘃𝗢𝗽𝘀 | 𝗠𝗟𝗢𝗽𝘀 | 𝗔𝗜𝗢𝗽𝘀 | 𝗦𝘆𝘀𝘁𝗲𝗺 𝗔𝗱𝗺𝗶𝗻 | 𝗖𝗹𝗼𝘂𝗱 & 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁 Hello! I am 𝗚𝘂𝗿𝘄𝗶𝗻𝗱𝗲𝗿, a DevOps, MLOps, AIOps, and System Administration Engineer with 8+ years of experience building secure, scalable, and production-ready infrastructure for SaaS platforms, AI applications, cloud-native systems, and LLM-based products. From traditional server administration to modern AI infrastructure, I help businesses automate deployments, migrate applications from Replit to enterprise cloud platforms, scale applications, optimize cloud environments, and build reliable DevOps pipelines across AWS, Azure, and GCP. Whether you are launching a startup, deploying AI agents, managing Kubernetes clusters, building RAG-based applications, or simply need stable cloud infrastructure, I can help you deploy faster, automate smarter, and scale confidently. DevOps, Cloud & Infrastructure - AWS, Azure, GCP, DigitalOcean, Linode - Docker, Kubernetes (EKS, ECS, AKS, GKE) - Infrastructure as Code: Terraform, Ansible, CloudFormation - Serverless: AWS Lambda, Azure Functions, Google Cloud Functions - High-availability & autoscaling architectures - GPU infrastructure for AI/ML workloads - Linux & Windows server administration Replit, Cloud Migration & Platorm Modernization - Replit application deployment & infrastructure management - Migration from Replit to AWS, Azure, GCP, DigitalOcean & Kubernetes - Containerization using Docker for Replit-hosted applications - CI/CD implementation for Replit projects - Database migration & environment separation (Dev/Staging/Production) System Administration & Server Management - Ubuntu, CentOS, AlmaLinux, Debian, Windows Server - cPanel/WHM, Plesk, Webmin - Apache, Nginx, LiteSpeed, HAProxy - Email servers: Postfix, Exim, Dovecot - SPF, DKIM, DMARC configuration - SSL setup, backups, migrations & troubleshooting - Rsync, Rclone, cron jobs & automation CI/CD & Automation - Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket Pipelines - Automated build, deployment & rollback pipelines - GitOps workflows using ArgoCD & Flux - Airflow, n8n, Zapier & workflow automation - Infrastructure automation using Python, Bash & YAML MLOps / LLMOps / AI Infrastructure - MLflow, Kubeflow, Vertex AI - AI model deployment with TensorFlow, PyTorch & SageMaker - LLMOps pipelines for production AI applications - OpenAI, Azure OpenAI & HuggingFace integrations - Vector databases: Pinecone, Weaviate, FAISS, Chroma - RAG pipelines & embedding systems - KServe, FastAPI & Docker-based model serving - AI agent orchestration using OpenClaw - Clawbot & Moltbot deployment workflows - Monitoring, retraining & model lifecycle management Monitoring, Security & AIOps - Prometheus, Grafana, ELK Stack, CloudWatch, Datadog - OpenTelemetry & Jaeger tracing - AI-driven monitoring & anomaly detection - Automated incident remediation - HashiCorp Vault, AWS KMS, Snyk, SonarQube - OWASP security best practices Databases & Storage - PostgreSQL, MySQL, MariaDB, AuroraDB - MongoDB, DynamoDB - Redis, Memcached - Vector databases for AI workloads I believe modern infrastructure is no longer just about servers, it is about intelligent automation, scalable AI systems, reliable deployments, and building environments that can grow with your business. If you are building AI platforms, SaaS systems, cloud infrastructure, ML pipelines, AI agents, or large-scale applications, I would be happy to help. Feel free to invite me to your project or schedule a quick call to discuss how I can help. Best regards, Gurwinder