I’m a GCP Certified Professional Cloud DevOps Engineer focused on delivering efficient, secure, and scalable solutions, whether it’s building from scratch or optimizing what’s already there. 🚨 Problem: Whether you're dealing with slow deployments, unreliable infrastructure, or broken CI/CD pipelines, even small DevOps issues can block progress and cost you time. ✅ Solution: I provide fast, reliable DevOps solutions that remove roadblocks and improve system performance. Whether it's setting up cloud infrastructure, automating your deployment process, or fixing a broken CI/CD pipeline, I make your systems run smoother, faster, and with less stress. I focus on delivering results that save you time and keep your projects moving forward. Skills I bring: CI/CD: GitHub Actions, GitLab CI, Jenkins Cloud: AWS, GCP IaC: Terraform, CloudFormation Containers: Docker, Kubernetes Monitoring: Prometheus, Grafana, CloudWatch Scripting: Bash, Python Let’s solve your DevOps headaches—one smart solution at a time.

Hi there! I'm a seasoned DevOps Engineer with over 5 years of hands-on DevOps experience and 10+ years in Linux/Unix system administration. I specialize in automating infrastructure, streamlining deployment pipelines, and optimizing cloud environments for performance, scalability, and security. What I Bring to the Table: * Cloud Platforms: AWS, Google Cloud Platform (GCP), DigitalOcean, Azure Containerization & Orchestration: Docker, Docker Compose Infrastructure as Code: Terraform, Ansible CI/CD Pipelines: Jenkins, Git-based workflows Scripting & Automation: Bash scripting for automation and system tasks System Administration: Installation, configuration, hardening, and troubleshooting of Linux/Unix systems Whether you're a startup building cloud-native systems or an enterprise migrating legacy infrastructure, I’m here to deliver reliable, efficient, and secure solutions. * Clear communication * On-time delivery * Long-term collaboration mindset

⭐ 100% Job Success | 🌟 Rising Talent | 🚀 DevOps Engineer — AWS · GCP · Azure · Kubernetes · Docker · Terraform · CI/CD I deploy, fix, and automate infrastructure — fast, clean, and documented. If your app is stuck in deployment hell, your server keeps crashing, or your team is deploying manually at midnight, I can fix that. I work with startups and small teams who need production infrastructure that just works — without hiring a full-time DevOps engineer. Problems I solve: • Your app runs locally but breaks in production → I containerize it with Docker and deploy it properly • Deployments are manual and scary → I build CI/CD pipelines (GitHub Actions, GitLab CI) with rollback • Your AWS bill keeps growing → I right-size, autoscale, and cut waste • You need Kubernetes but nobody on the team knows it → I set up EKS/GKE with Helm and hand over clear docs • Server down, SSL expired, Nginx misconfigured → I troubleshoot and get you back online My stack: AWS · Docker · Kubernetes (EKS) · Terraform · GitHub Actions · Nginx · Linux/Ubuntu · Prometheus & Grafana · PostgreSQL How I work: Clear scope before I start. Updates as I go. Documentation when I finish, so your team isn't dependent on me forever. Send me a message describing what's broken or what you need deployed — I'll reply with a concrete plan.

I am Naresh, co-founder of Amenity Technologies, a company that specializes in assisting companies with AI/ML and Data Science & Analytics. I provide end-to-end AI consultancy. I'm a senior computer vision and machine learning engineer with vast experience in full-stack development, AR/VR, and robotics. with more than 8.5+ years of expertise working with businesses to produce creative initiatives that will bring value to their projects based on innovation. The following is a list of the technologies I employ daily when I code: ✅ N8N automation for restaurants calling bot, voice calling bot for Real Estate clients, sales team training voice bot. ✅ AI Agents: Implemented Agentic workflow with LLMs, SLMs, RAGs, Agentic RAG, LangFuse. ✅ LLMs: AI based Marketing Journey Crerator, Document Parsing, FAQ bot, RAG systems with Open AI and without Open AI also on our own could. Have used LLMs like DeepSeek, LAMA, Minstrel, Hugging Face etc. ✅ Fullstack: Python, C++, Django, Flask, JS, React, NodeJS, Typescript, Docker, Kubernetes ✅ ML/DL: Mediapipe, Pytorch/Keras, Transformers, RasaNLP, SparkML, SparkNLP, LGBM, and many others ✅ Computer Vision: OpenCV, Open3D, PCL, VisualSLAM, OpenMVG, FFMPEG, and more ✅ Cloud solutions: Cloud Compute, Vertex AI, Cloud SQL, Cloud Functions, AWS ✅ We have created Algo trading bot for Indian stock market. The cases I work with: ✅ Machine Learning & AI: - Algorithms like KNN, K-MEAN, DBSCAN, MEAN SHIFT - Data cleaning, filling in missing values & selecting the best features - Prediction models which use logistic & linear regression, Decision Tree, Random Forest, Naive Bayes, SVM - Graphical analysis via matplotlib ✅ Deep Learning & AI: - Image Classification via CNN, GoogLeNet, VGGNet, ResNet - Object Detection via F-RCNN, YOLO, SSD, R-FCN - Object tracking via SAE and CNN, FCNT, MDNET - Semantic Segmentation via DeepLab, RefineNet - Instance Segmentation via Mask RCNN - 3D Object Segmentation and Detection - 3D Reconstruction ✅ Data Science & Analytics: -Data wrangling -Data Wrangling via Pandas, NumPy, Scikit-learn -Data Visualization via Matplotlib, Seaborn, Plotly -Statistical Analysis via SciPy, Statsmodels, PyMC3 -Machine learning -Machine Learning via Scikit-learn, TensorFlow, PyTorch -Natural language processing -Natural Language Processing via NLTK, SpaCy, Gensim -Recommender system -Recommender Systems via Surprise, LightFM, Implicit -Big data -Big Data via Spark, Hadoop, Dask ✅ NLP & AI: - Sentiment Analysis - Sentence segmentation - Named Entity Recognition - Auto punctuation - Converting unstructured data into structured data - POS tagging ✅ IoT & Cloud: - Lambda in AWS, Alexa Skill Development - Raspberry Pi, Nvidia Jetson Nano, Arduino, Banana Pi, Intel Movidius - Android app for IoT and cloud - Custom Google Assistant and Alexa - Smart Home Shoot me a message if you got an idea, I am here to bring it to life!

I am a Senior DevOps Engineer with 5+ years of experience helping businesses build scalable, secure, and automated systems. I specialize in cloud infrastructure, CI/CD automation, containerization, Linux server management, and infrastructure as code (IaC). I design and deploy high-availability systems across multiple cloud platforms including AWS, Azure, GCP, DigitalOcean, Linode, Vultr, and OpenStack, helping companies improve deployment speed, reliability, and operational efficiency. Along with DevOps automation, I also help businesses build email infrastructure and SMTP systems for bulk email and marketing automation, including SMTP servers, email deliverability optimization, and server configuration. I have implemented production-grade CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket Pipelines, ArgoCD, and Spinnaker, automated infrastructure using Terraform, Ansible, CloudFormation, and Pulumi, and deployed containerized applications with Docker, Kubernetes, and Helm. I also provide monitoring, logging, performance optimization, and security hardening to ensure reliable and zero-downtime deployments. Core Skills & Technologies Cloud Platforms AWS, Azure, GCP, DigitalOcean, Linode, Vultr, OpenStack Containers & Orchestration Docker, Kubernetes, Helm, OpenShift CI/CD & Deployment Automation Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket Pipelines, ArgoCD, Spinnaker Infrastructure as Code (IaC) Terraform, Ansible, CloudFormation, Pulumi Monitoring & Observability Prometheus, Grafana, ELK / EFK Stack, Datadog, New Relic Linux & Server Administration Ubuntu, CentOS, Debian, Nginx, Apache, system optimization, server hardening Email Infrastructure & SMTP Systems SMTP server setup, email deliverability optimization, mail server configuration, bulk email systems, marketing email infrastructure Programming & Automation Python, Bash, JavaScript, PowerShell Version Control Git, GitHub, GitLab, Bitbucket Security & Optimization HashiCorp Vault, IAM, server hardening, cost optimization, compliance automation What I Deliver ✔️ Automated CI/CD pipelines for fast and reliable deployments ✔️ Kubernetes & Docker-based scalable infrastructure ✔️ Multi-cloud DevOps architecture using Terraform & Ansible ✔️ SMTP & email infrastructure setup for bulk email systems ✔️ Secure and cost-optimized cloud environments ✔️ Monitoring & observability with Prometheus, Grafana, ELK Stack If you are looking for a DevOps Engineer who can manage cloud platforms, automate deployments, optimize infrastructure, and build reliable systems, I can help you scale faster, deploy smarter, and reduce operational costs.

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.

As a Top Rated DevOps Engineer and System Administrator with 900+ hours logged on Upwork, I specialize in creating efficient, reliable, and scalable infrastructure solutions that drive business success. TECHNICAL EXPERTISE & CERTIFICATIONS • Operating Systems: Proficient in Linux/Command Line and Shell Scripting • Containerization & Orchestration: Skilled in Docker and Kubernetes • Infrastructure as Code: Experienced with Terraform, Ansible and Puppet • Web Servers & Networking: Expertise in Nginx and Git • Cloud Platforms: AWS Certified Solutions Architect, with experience in GCP, DigitalOcean, Linode, Oracle Cloud, Vultr, and Vercel • Programming Languages: Proficient in Python and learning Rust I am passionate about continuously improving my skills and staying updated with the latest technologies. Currently, I am expanding my knowledge in Rust and exploring advanced DevOps practices to deliver even more value to my clients. In my free time you'll find me teaching Linux tricks or tinkering with Rust (the language, not the fungus).

🚀 𝗘𝘅𝗽𝗲𝗿𝘁 𝗔𝗪𝗦 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗳𝗼𝗿 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗧𝗼𝗽 𝟮% 𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 𝗣𝗟𝗨𝗦 𝗔𝗪𝗦 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁, 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗶𝗻 𝗔𝗪𝗦, 𝗚𝗖𝗣, 𝗮𝗻𝗱 𝗔𝘇𝘂𝗿𝗲. 🏆 AWS Certified Solutions Architect ✅ Delivered 50+ Cloud & DevOps Projects ✅ 6+ Years of Proven Experience in Scalable Cloud Infrastructure My expertise lies in AWS DevOps engineering, automation-first architecture, and building modern CI/CD workflows that improve release speed, system stability, and operational efficiency. 🚀 Core Expertise as an AWS DevOps Engineer ✅ AWS Cloud Architecture & Services -Amazon EC2, VPC, IAM, S3, RDS, Lambda -CloudWatch, CloudTrail, Auto Scaling -Highly available & fault-tolerant AWS architectures -Cost optimization and performance tuning ✅ CI/CD Pipelines & Automation -End-to-end CI/CD pipeline setup using Jenkins, GitHub Actions, AWS CodePipeline -Automated build, test, and deployment workflows -Blue-green & rolling deployments -Rollback-safe and zero-downtime releases ✅ Infrastructure as Code (IaC) -Terraform & AWS CloudFormation -Version-controlled, reusable infrastructure -Multi-environment setups (dev / staging / production) -Scalable and auditable cloud provisioning ✅ Containers & Orchestration -Docker containerization best practices -Kubernetes (EKS) cluster setup and management -Microservices-based AWS architectures -Containerized CI/CD workflows ✅ Configuration Management & Scripting -Ansible automation for server configuration -Bash & Python scripting for DevOps tasks -Infrastructure automation and environment standardization ✅ Monitoring, Logging & Security (DevSecOps) -CloudWatch monitoring & alerting -Centralized logging & observability -IAM policies with least-privilege access -Secure AWS DevOps pipelines and audit-ready setups 🎯 What You Get When You Hire Me ✔️ Production-ready AWS DevOps architecture ✔️ Faster deployments with stable CI/CD pipelines ✔️ Secure and scalable cloud environments ✔️ Reduced AWS infrastructure costs ✔️ Clean documentation & long-term maintainability ✔️ Reliable DevOps support and guidance 🔑 Keywords AWS Cloud Engineer, AWS DevOps, AWS Solutions Architect, AWS Developer, Amazon EC2, Amazon S3, Amazon RDS, AWS Lambda, AWS VPC, AWS EKS, AWS ECS, AWS API Gateway, AWS IAM, AWS CloudFront, AWS Migration, AWS Cost Optimization, Cloud Deployment, Server Migration, CI/CD Pipeline, Docker, Kubernetes, Terraform, Infrastructure as Code, DevOps Automation, Linux Server, Nginx, Monitoring & Logging, High Availability Architecture, MERN Stack Developer, Full Stack Developer, React.js Developer, Next.js Developer, Node.js Developer, MongoDB Developer, REST API Development, GraphQL API, TypeScript Developer, SaaS Application Development, MVP Development, Microservices Architecture, JWT Authentication, Stripe Integration, Scalable Web Applications.

Want Fast Turnaround for DevOps, Cloud & Infrastructure Projects? 🚀24-Hour Turnaround • Quick Response • Fast Delivery • Reliable Solutions Hi, I'm a DevOps Engineer helping businesses build, automate, secure, and scale cloud infrastructure. I work directly with clients to resolve deployment issues, cloud challenges, infrastructure bottlenecks, and production incidents with a practical, results-driven approach. What I Can Help You With ✔ AWS Infrastructure (EC2, S3, CloudFront, Route53, RDS, IAM) ✔ Azure & GCP Cloud Deployments ✔ Docker & Kubernetes Deployments ✔ Terraform & Infrastructure as Code (IaC) ✔ CI/CD Pipelines (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps) ✔ Linux Server Administration (Ubuntu, Linux) ✔ Nginx Configuration & Reverse Proxy Setup ✔ SSL Certificates, DNS & Domain Management ✔ Application Deployments (.NET, Node.js, Python, WordPress and many more) ✔ PostgreSQL & MySQL Administration ✔ Monitoring, Logging & Troubleshooting ✔ Cloud & Server Migrations Common Problems I Solve • Application deployment failures • Docker and Kubernetes issues • CI/CD pipeline configuration and troubleshooting • AWS infrastructure setup and optimization • SSL, DNS, and Nginx configuration issues • Website and server migrations • Production outages and performance bottlenecks • Infrastructure automation using Terraform Technologies AWS • Azure • GCP • Docker • Kubernetes • Terraform • Linux • Ubuntu • Nginx • GitHub Actions • GitLab CI/CD • Azure DevOps • Jenkins • CloudFront • Route53 • EC2 • S3 • PostgreSQL • MySQL • Python • Bash • Git • DevOps • CI/CD • Infrastructure Automation • Cloud Architecture What You Can Expect? ✅ Clear Communication ✅ Reliable Infrastructure ✅ Secure Configuration ✅ Automated Deployments ✅ Fast Problem Resolution ✅ Well-Documented Solutions My approach is simple: build infrastructure that is stable, secure, scalable, and easy to maintain. If you're looking for a DevOps Engineer who can take ownership of deployments, cloud infrastructure, automation, and production support, feel free to send me an invitation. Let's discuss your project.

I am a Certified DevOps + Cloud Engineering specialist & AI Fullstack Developer worked extensively as a Cloud Architect, Infrastructure Engineer, Data Engineer, Site Reliability Engineer (SRE), Platform Engineer, Solution Architect, AI Developer, and System Administration Expert for the last 11+ years. 🏅 AWS Certified DevOps Engineer – Professional 🏅 Google Professional Cloud Architect 🏅 Microsoft Certified Azure DevOps Engineer Expert 🏅 Certified Kubernetes Administrator (CKA) 🏅 Docker Certified Associate 📌 Worked as a Sr. Cloud Engineer at American enterprise software company "Solarwinds" used by nearly all Fortune 500 companies 📌 Worked as a DevOps & Cloud Infrastructure Engineer at "Strava" a global fitness platform used by 180+ million athletes across 185+ countries, generating 50+ million activity uploads per week. 📌 Scaled an AI driven Edtech Platform for a Startup "Coursology" to 1M+ users. 💪 Core DevOps & Cloud Engineering Expertise: 🚀 Full-stack Development React, Next.js, Angular.js, Vue, Python, Node.js, PHP/Laravel 🚀 Amazon Web Services (AWS) EC2, ECS, EKS, Lambda, S3, CloudFront, Glacier, RDS, Aurora, DynamoDB, VPC networking, IAM security, CloudWatch monitoring, Route53 DNS, Auto Scaling, ALB/NLB load balancing. 🚀 Google Cloud Platform (GCP) Compute Engine, Cloud Run, GKE, Cloud Functions, Vertex AI infrastructure, Pub/Sub, Cloud Storage, VPC networking, IAM security, Cloud Monitoring & Logging. 🚀 Microsoft Azure Azure VMs, AKS, Azure DevOps, Azure Functions, Azure Storage, Virtual Networks, Azure Monitor, Azure AD, infrastructure deployment using ARM templates and Terraform. 🚀 Infrastructure as Code (IaC) Terraform, CloudFormation, ARM Templates, Pulumi. 🚀 Automation & Configuration Management Ansible, Bash scripting, Python automation. 🚀 CI/CD Pipelines GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, Bitbucket Pipelines. 🚀 Containers & Kubernetes Docker containerization, Kubernetes cluster architecture, Helm deployments, autoscaling workloads, service mesh architecture, microservices orchestration, and container security. 🚀 Monitoring, Logging & Observability Prometheus, Grafana, ELK Stack, Datadog, AWS CloudWatch, GCP Monitoring, Azure Monitor. 🚀 Security & Infrastructure Hardening IAM policy design, VPC network isolation, secrets management, DevSecOps integration, container security scanning, vulnerability management, and SOC2-aligned infrastructure. 🚀 Performance & Cost Optimization Cloud cost optimization, autoscaling infrastructure, high availability architectures, CDN and edge optimization, load balancing strategies, and performance bottleneck analysis. 🚀 MLOps ML pipeline automation, AI model deployment, distributed training infrastructure, experiment tracking, and data pipeline management. 🤝 Typical Projects I Deliver ✔ Cloud Infrastructure Design & Deployment ✔ AWS / GCP / Azure Cloud Migrations ✔ Kubernetes Cluster Setup ✔ DevOps Automation & CI/CD Pipelines ✔ Infrastructure Security Hardening ✔ Observability & Monitoring Systems ✔ High-Availability Production Environments ✔ AI Infrastructure & Data Pipelines I also work extensively with modern AI and real-time infrastructure, including: 🌟AI platform infrastructure 🌟Real-time voice systems 🌟API-driven microservices 🌟high-throughput event systems 🌟scalable AI data pipelines 🌟infrastructure for LLM and AI agent systems I can support both project-based engagements and long-term DevOps partnerships. Availability: 20-40 hours a week / Available on weekends as well if needed Let's Connect!