Most cloud environments don't fail because of bad intentions they fail because reliability, security, and compliance were never engineered together from the start. That gap is where audits get delayed, production breaks under pressure, and teams scramble to fix what should have been built right. Over 13 years I have designed and operated cloud infrastructure for organizations where downtime and compliance gaps carry real consequences Bank of America, Fiserv, and the Federal Reserve Board. That experience shaped how I approach every engagement: secure architecture first, automation always, and reliability that holds up under scrutiny. Here's where I add measurable value: Cloud Architecture & DevOps: Designing resilient infrastructure on AWS and Azure, with Terraform-driven automation and Kubernetes orchestration that scales without becoming fragile. Site Reliability Engineering (SRE): Building observability, SLOs, and incident response practices that catch problems before customers do not after. Security & Compliance: Hardening environments against real threats while aligning with PCI-DSS, SOC2, NIST, and ISO 27001 the frameworks that determine whether your audit goes smoothly or doesn't. CI/CD & Infrastructure as Code: Standardizing deployment pipelines so releases are fast, repeatable, and don't depend on tribal knowledge. Whether you are a startup preparing for your first SOC2 audit or an enterprise team modernizing legacy infrastructure, I bring senior-level judgment with hands-on execution no handoffs, no gaps. Certifications: AWS Solutions Architect | RHCE | CCNA | CompTIA A+, N+, S+ Open to a quick call to review your current setup and identify exactly where the risk is.

✅ Devops ✅ Security ✅ Kubernetes ✅Cost Optimization ✅ Migration ✅ Automation Welcome! I am a Certified DevOps Expert focusing on optimizing cloud infrastructure for enhanced efficiency and security. With expertise in DevOps, Kubernetes, APIs, Terraform, App Service, Active Directory/Entra ID, Advisor, Defender, and Security, I can deliver exceptional results for your Azure projects. Key Skills and Specializations: 🔹 DevOps Excellence: Empowering your software development lifecycle with cutting-edge DevOps methodologies, I specialize in CI/CD pipelines, Docker containers, Bicep, ARM templates, Functions, Key Vault, and Logic Apps. 🔹 Administration Mastery: Harnessing the full potential of Azure, I am adept at Azure AD, RBAC, and Virtual Desktop Integration. From VMs, Disk Encryption, and Scale Sets to AKS, ACI, Azure App Service, and storage solutions, I ensure seamless management of your Azure infrastructure. 🔹 Monitor and Optimization: Leveraging the power of Azure Monitor, I enable you to extract meaningful insights through efficient log querying, robust backup and disaster recovery setups, cost optimization strategies, and comprehensive utilization of Application Insights. 🔹 Robust Networking and Security: Safeguarding your cloud environment is my priority. I bring expertise in designing and implementing secure networking architectures, including Public/Private DNS, NSG, Firewall, WAF, VPN, LBs, and Application Gateway. 🔹 I possess strong scripting capabilities in Bash, PowerShell, and Python, enabling me to automate tasks, configure systems, and streamline deployments efficiently. My scripting expertise enhances workflow automation and system management, contributing to improved project efficiency. Let's collaborate to optimize your processes and productivity. By employing encryption and security controls for VMs, Disk Encryption, and Azure App Service, I ensure that your sensitive data remains protected. I expertly configure NSGs, firewalls, and WAFs to fortify your infrastructure against potential threats. Additionally, I specialize in establishing secure virtual private networks (VPNs) and load balancers (LBs) to maximize the resilience and protection of your applications. Throughout my projects, I maintain a strong emphasis on professional design and documentation practices, delivering comprehensive technical documentation to facilitate seamless collaboration and knowledge transfer. Let's collaborate to elevate your Azure architecture, streamline your DevOps practices, and fortify your cloud infrastructure for optimal performance and security. 💬 Contact me anytime to discuss your project requirements.

I'm a results-driven Full-Stack Developer and DevOps Engineer with over 8 years of experience in architecting, developing, and deploying high-performance web and mobile applications, and 6+ years of deep hands-on expertise in DevOps, cloud infrastructure, and automation. Whether you're a startup, mid-sized business, or enterprise, I deliver end-to-end solutions that are scalable, secure, and optimized for performance. From cloud-native development and infrastructure automation to AI-powered applications and seamless CI/CD pipelines — I transform complex technical requirements into robust, business-ready systems. 💻 Full-Stack Development Front-End: React.js, Next.js, Vue.js, Angular, Redux, RxJS, Electron Back-End: Node.js, Express.js, Python (Django, FastAPI), Ruby on Rails Databases: PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch, Oracle API & Integration: RESTful & GraphQL APIs, SOAP, Webhooks, Data Warehousing DevOps | Platform Engineering | Cloud Architect Cloud & Infrastructure AWS, Azure, GCP • Terraform, Terragrunt, AWS CDK, Pulumi, CloudFormation, Crossplane • Infrastructure as Code (IaC) Platform Engineering & Kubernetes Kubernetes (EKS, AKS, OpenShift), Docker, ECS • GitOps (ArgoCD, FluxCD) • Internal Developer Platforms (IDP) • Multi-Cluster Operations CI/CD & Automation GitHub Actions, GitLab CI, Jenkins, CircleCI, AWS CodePipeline • Release Automation • Deployment Strategies • DevSecOps Site Reliability Engineering (SRE) High Availability • Incident Management • Reliability Engineering • Capacity Planning • Performance Optimization Observability & Monitoring Prometheus, Grafana, OpenTelemetry, Datadog, New Relic, ELK/EFK • Distributed Tracing • Centralized Logging Security & Configuration Management HashiCorp Vault, AWS Parameter Store, Secrets Management • Ansible, Chef • IAM & Cloud Security Best Practices AI Infrastructure & MLOps LLM Infrastructure • Generative AI • Model Serving • Kubeflow • MLflow • KServe • Vector Databases • AI/ML Platform Engineering Distributed Systems & FinOps Scalable Cloud Architectures • Cost Optimization • FinOps • Multi-Region Deployments • Disaster Recovery Certifications • AWS Certified Solutions Architect • HashiCorp Certified Terraform Associate Terraform Certified – AWS Cloud Economics AWS Technical Professional AWS Business Professional Why Work With Me? ✔ End-to-End Ownership — Architecture, Automation, Security, and Operations ✔ Cloud-Native Expertise — Building scalable and resilient platforms on AWS, Azure, and GCP ✔ Platform & SRE Focus — Improving developer productivity, reliability, and operational excellence ✔ AI & MLOps Experience — Deploying and managing modern AI/ML workloads at scale ✔ Clear Communication — Reliable delivery with transparent collaboration 📩 Let’s collaborate and bring your vision to life with innovation, reliability, and technical excellence.

Senior DevOps Engineer specializing in secure, scalable cloud-native solutions across AWS and Azure. I design and implement robust CI/CD pipelines, infrastructure as code, and containerized environments that accelerate delivery while maintaining security and compliance standards. ----------------- Certifications ----------------- Terraform Associate (002) Certified Kubernetes Administrator (CKA) ------------------- Core Expertise ------------------- Cloud Platforms: AWS, Azure Infrastructure as Code: Terraform, Terragrunt, Ansible, Azure Bicep, SaltStack, Packer, Vagrant Container Orchestration: Kubernetes (EKS, AKS, unmanaged), Docker, Helm, ArgoCD, Kustomize, Rancher, Velero CI/CD: GitHub Actions, Azure DevOps, GitLab CI, Drone CI, Ansible Tower, Atlantis Monitoring & Observability: Prometheus, Grafana, ELK Stack, Fluentd, FluentBit, Azure Monitor, CloudWatch, PRTG Security: Trivy, Azure Key Vault, Falco, Nexus, Harbor, Azure Firewall Automation: Python, Bash scripting, YAML, JSON Identity Management: Azure AD, RBAC, IAM

I am a Cloud & DevOps Engineer with 5+ years of experience in building and managing scalable, secure, and automated infrastructures across AWS, GCP, Azure, and Proxmox. My expertise lies in container orchestration, CI/CD automation, cloud-native development, and infrastructure-as-code, helping organizations achieve faster delivery and improved reliability.

I am a result driven Cloud DevOps and DevSecOps Engineer with over 15 years of experience and till the date I have developed a deep understanding of cloud computing and DevOps methodologies. I am proficient in working with Cloud platforms such as: -𝐀𝐖𝐒, 𝐀𝐳𝐮𝐫𝐞, 𝐆𝐂𝐏, 𝐚𝐧𝐝 𝐎𝐫𝐚𝐜𝐥𝐞 𝐂𝐥𝐨𝐮𝐝. Adding onn I have also experienced other cloud platforms such as -𝐈𝐁𝐌 𝐂𝐥𝐨𝐮𝐝, 𝐀𝐥𝐢𝐛𝐚𝐛𝐚 𝐂𝐥𝐨𝐮𝐝, 𝐚𝐧𝐝 𝐃𝐢𝐠𝐢𝐭𝐚𝐥𝐎𝐜𝐞𝐚𝐧. In my previous projects I have experienced various Infrastructure-As-Code tools such as- 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝𝐅𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧. And I have deployed various serverless architectures using- 𝐀𝐖𝐒 𝐋𝐚𝐦𝐛𝐝𝐚, 𝐀𝐳𝐮𝐫𝐞 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬. Adding onn I have expertise in network and security technologies such as- 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐏𝐫𝐢𝐯𝐚𝐭𝐞 𝐂𝐥𝐨𝐮𝐝𝐬 (𝐕𝐏𝐂𝐬), 𝐅𝐢𝐫𝐞𝐰𝐚𝐥𝐥𝐬, 𝐕𝐏𝐍𝐬, 𝐚𝐧𝐝 𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐚𝐧𝐝 𝐀𝐜𝐜𝐞𝐬𝐬 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 (𝐈𝐀𝐌) 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬. Over the years, I have worked on a variety of projects and I have expertise in deploying and managing containerized applications using- 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐚𝐧𝐝 𝐃𝐨𝐜𝐤𝐞𝐫. Adding onn I’ve also experienced other container orchestration tools such as- 𝐍𝐨𝐦𝐚𝐝, 𝐌𝐞𝐬𝐨𝐬, 𝐚𝐧𝐝 𝐒𝐰𝐚𝐫𝐦. Previously I have built and managed various secure infrastructure using- 𝐂𝐈/𝐂𝐃 𝐭𝐨𝐨𝐥𝐬 𝐬𝐮𝐜𝐡 𝐚𝐬- 𝐉𝐞𝐧𝐤𝐢𝐧𝐬, 𝐂𝐢𝐫𝐜𝐥𝐞𝐂𝐈, 𝐚𝐧𝐝 𝐆𝐢𝐭𝐋𝐚𝐛. 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐭𝐨𝐨𝐥𝐬 𝐬𝐮𝐜𝐡 𝐚𝐬 𝐀𝐧𝐬𝐢𝐛𝐥𝐞, 𝐏𝐮𝐩𝐩𝐞𝐭, 𝐚𝐧𝐝 𝐂𝐡𝐞𝐟. 𝐂𝐥𝐨𝐮𝐝 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 𝐬𝐮𝐜𝐡 𝐚𝐬- 𝐀𝐦𝐚𝐳𝐨𝐧 𝐑𝐃𝐒, 𝐀𝐳𝐮𝐫𝐞 𝐒𝐐𝐋 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞, 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐒𝐐𝐋, 𝐚𝐧𝐝 𝐎𝐫𝐚𝐜𝐥𝐞 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞. 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐬𝐮𝐜𝐡 𝐚𝐬- 𝐍𝐚𝐠𝐢𝐨𝐬, 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬, 𝐄𝐋𝐊, 𝐒𝐩𝐥𝐮𝐧𝐤. Adding onn I’ve experienced other monitoring and logging tools such as Zabbix, Grafana, Graylog, and Fluentd. + Also I’m familiar with Agile Methodologies: • Git • Scrum • Jira / Kanban • Slack

Businesses hire me when they need someone who can build the product, own the infrastructure, and integrate AI where it creates real leverage end-to-end, without handoff gaps. I've delivered scalable web applications, cloud-native systems, automated CI/CD pipelines, and AI-powered workflows for startups moving fast and enterprises that can't afford downtime. Whether the challenge is a new SaaS build, a legacy modernization, a cloud cost problem, or automating a manual process with AI. I bring the development depth, DevOps discipline, and automation mindset to solve it. What clients consistently say: clear communication, no surprises on timelines, and solutions built to last. .NET Web API (with Angular / React / Vue.js) Enterprise-grade back-end with .NET Core and C#, delivered as MVC web applications or modern Blazor SPAs, all within the .NET ecosystem. For teams preferring a JavaScript front end, I pair .NET back-ends with Angular, React, or Vue.js. Ideal for corporate platforms, internal tools, ERP-style systems, and SaaS products that demand performance, maintainability, and long-term support. MERN Stack (MongoDB · Express · React · Node.js) JavaScript is end-to-end fast to build and easy to scale. My go-to for modern web apps, real-time features, and startup MVPs that need to move quickly without sacrificing quality. MEVN Stack (MongoDB · Express · Vue.js · Node.js) Clean, reactive front ends backed by a robust Node/Express API layer. Well-suited for dashboards, portals, and data-driven interfaces where a lightweight, approachable UI framework makes sense. MEAN Stack (MongoDB · Express · Angular · Node.js) TypeScript-first, strongly-typed, and enterprise-ready. Angular's structure makes this stack a natural fit for large teams, complex business logic, and long-lived applications. Across all stacks: RESTful APIs and GraphQL, SQL Server / PostgreSQL / MySQL / MongoDB for data, and microservices architecture where scale demands it. — Cloud & DevOps Engineering — AWS: EC2, Lambda, ECS, EKS, RDS, S3, CloudFront, IAM, VPC, Route 53, SQS, SNS, Secrets Manager, SSM Azure: App Service, AKS, Azure Functions, Azure DevOps, Cosmos DB, Blob Storage, Key Vault, Active Directory GCP: GKE, Cloud Run, Cloud Functions, Cloud SQL, Pub/Sub, Firebase, Artifact Registry Infrastructure as Code: Terraform, Pulumi, Atlantis Containerization: Docker, Kubernetes (EKS, GKE, ECS, Rancher) CI/CD Pipelines: GitHub Actions, GitLab CI, Jenkins, CircleCI, Bitbucket Pipelines Configuration Management: Ansible, Puppet Monitoring & Observability: Prometheus, Grafana, ELK Stack, Loki, Thanos, DataDog, New Relic Security & Secrets: HashiCorp Vault, AWS SSM, Azure Key Vault — Cloud & AI Automation — I integrate AI into products and workflows that save real time and create measurable value. LLM Integration: OpenAI (GPT-4o, o1), Anthropic Claude, Google Gemini embedded into applications via API for chat interfaces, document processing, code generation, and decision support. AI Workflow Automation: n8n, Zapier, Make (Integromat) building multi-step automations that connect your tools, eliminate manual handoffs, and run without human intervention. LangChain & RAG Systems: Retrieval-augmented generation pipelines that connect LLMs to your own data — internal knowledge bases, document Q&A, and intelligent search. AI Agents: Autonomous agents using LangChain, LlamaIndex, and AutoGen that can perform research, write reports, and execute multi-step tasks. Vector Databases: Pinecone, Weaviate, Chroma for fast semantic search and context retrieval in AI applications. AI-Powered APIs: Back-end services that expose AI capabilities to your front end or third-party systems. — What I can build for you — ✦ Enterprise web apps and SaaS platforms (.NET MVC, Blazor, MERN, MEVN, MEAN) ✦ Cloud infrastructure on AWS, Azure, or GCP setup, migration, cost optimization ✦ CI/CD pipelines and end-to-end DevOps implementation ✦ AI chatbots, document assistants, and LLM-powered features in your product ✦ Automated workflows that eliminate manual, repetitive processes ✦ API design, third-party integrations, and microservices architecture ✦ Performance tuning, scalability improvements, and system modernization I scope carefully, communicate proactively, and deliver what I commit to. If something's going to take longer than expected, you'll hear it from me first.

I am a Senior DevOps Engineer with 8+ years of experience in Devops working with startups, fintech firms, and global enterprises like JP Morgan Chase & DTCS. I specialize in designing secure, cost-effective, and highly scalable cloud infrastructure on AWS & Kubernetes which plays a crucial role in Devops Engineering. What I Can Do for You in Devops : * Cloud Infrastructure: AWS, GCP, Terraform, Kubernetes (EKS, ECS, Helm) * CI/CD Automation: GitHub Actions, Jenkins, ArgoCD, GitLab CI * Security & Compliance: Zero Trust Architecture, Encryption at Rest & Transit, Vulnerability Management * Monitoring & Logging: Prometheus, Grafana, ELK, Datadog, New Relic * Fintech & Compliance: PCI DSS, GDPR, SOC2, NIST Framework I have helped companies reduce debugging time from 4 hours to 30 minutes and cut cloud costs by up to 40% through optimized infrastructure solutions. Let’s discuss it over call on how I can optimize your cloud setup and automate your workflows!

Certified AWS Solutions Architect and AWS DevOps Engineer with 17 years of experience in software delivery and cloud infrastructure. With 850+ hours on Upwork and 30+ successful cloud projects, I operate as both a hands-on AWS DevOps engineer and a strategic AWS architect who designs and implements reliable, scalable platforms on Amazon Web Services. What I do as an AWS DevOps engineer and AWS architect My journey began as a full stack developer working with Ruby on Rails, Python, Node.js, and Java. Over time it evolved into deep specialization in AWS DevOps automation, container platforms, and cloud architecture. Today, as a certified AWS architect and AWS DevOps professional, I bridge the gap between development and infrastructure - delivering platforms that are automated, observable, and built to scale. The perspective of an AWS architect who also executes as an AWS DevOps engineer is rare - and it is what clients come to me for. As an AWS architect, I design secure, highly available systems on Amazon Web Services using EC2, S3, Lambda, CloudFront, and Amazon ECS. My AWS DevOps approach ensures that every AWS architect decision is backed by automation, CI/CD pipelines, and operational excellence across Kubernetes clusters. The role of an AWS architect is not just to draw diagrams - it is to own the outcome from design through deployment. Every AWS architect engagement I take on starts with understanding the business constraints before touching a single resource. A senior AWS architect has to think in failure modes — not just happy paths. That mindset is what makes an AWS architect valuable beyond the initial design phase. AWS DevOps methodology and automation Automation is at the core of every AWS DevOps engagement I take on. I implement infrastructure as code using Terraform and AWS CloudFormation, and build CI/CD pipelines with Git, Jenkins, and Azure DevOps. As an AWS DevOps engineer, I apply DevSecOps principles including secrets management, IAM least-privilege policies, VPC network segmentation, and audit logging - supporting compliance requirements such as SOC 2, HIPAA, and PCI DSS. I integrate monitoring with Prometheus and Grafana, and design fault-tolerant Kubernetes workloads. Every AWS DevOps pipeline I build is designed for repeatability, auditability, and zero-downtime deployments. Security, reliability, and scalability are embedded in every AWS DevOps project. Whether I am working as an AWS architect designing multi-account AWS organizations or as an AWS DevOps engineer optimizing container workloads, the standard remains the same: systems must be maintainable, observable, and resilient. That is the AWS DevOps discipline I bring to every engagement and the reason clients come back. My technical stack as an AWS architect and AWS DevOps engineer As a certified AWS architect, my core stack includes Amazon Web Services, Kubernetes, Docker, Terraform, AWS CloudFormation, CI/CD, Git, and Jenkins. My AWS DevOps toolchain extends to Azure DevOps, Prometheus, Grafana, and Python scripting. With a background as a full stack developer, I bring application-layer awareness into every AWS architect decision - understanding how services behave under load, not just how they are provisioned. That is the difference between an AWS architect who designs in theory and a battle-tested AWS architect who has run systems in production. What separates my AWS DevOps practice from a standard infrastructure role is the combination of depth and range. I work as an AWS architect who can design the system and as an AWS DevOps engineer who can implement it. That dual capability - AWS architect on one side, AWS DevOps engineer on the other - means fewer handoff gaps, faster delivery, and better outcomes for every project. Finding the right AWS architect for a complex platform matters as much as finding the right engineer to run it. Why clients hire me as an AWS architect and AWS DevOps engineer Clients partner with me when they need an AWS architect who can translate business requirements into cloud infrastructure, or an AWS DevOps engineer who can automate and operationalize that infrastructure end to end. My 17 years of experience as an AWS DevOps practitioner, AWS architect, and hands-on AWS architect means I have seen what breaks platforms at scale - and how to prevent it. Whether you need AWS DevOps automation, Kubernetes infrastructure, Terraform-based IaC, or a senior AWS architect to design your next cloud platform, I would be glad to help build and scale it the right way. Let's connect.

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.