Hire the Best AWS Cloudwatch Developers

I have 15+ years of experience architecting cloud solutions on AWS, building AI Agents and developing full-stack web applications, and distributed systems. ⭐⭐⭐⭐⭐ "Rehan is amazing and is certainly an expert in his field. If you need someone who is systemic and has a great eye for detail." Here's what you can expect from working with me: 🔹Consultative mindset geared towards helping client navigate complexity 🔹Clear communication ensuring seamless collaboration 🔹Efficient work ethic that focuses on automation and repeatability 🔹Pride in quality of the work that I deliver Key Highlighs: ✅ Established AWS cloud practice in a mid-sized IT MNC listed on NYSE & BSE/NSE ✅ Led a team of 700+ AWS Architect, Developers, DevOps, and SysOps experts. ✅ Delivered more than 300 projects in career ✅ AWS Certified Solutions Architect ✅ Published Author with books on Systems Design, and Web API development ✅ Regularly provide certification training at corporate level for AWS ✅ Over 200 ⭐ on GitHub repositories What can I help you with: ☁️ Application design and architecture: - Design scalable, resilient, and reliable systems architecture - Optimial bespoke solutions customised to your needs - Secure Network design ☁️ Cloud Infrastructure & DevOps - Secure network configuration (VPC, subnets, gateways, etc.) - Optimal EC2 server configuration - Database setup (RDBMS or NoSQL) - Load balancing, autoscaling, and more 💻 SaaS applications: - End to end SaaS deployment using AWS Services - Miroservices API & Compute using serverless stack using Lambda, Fargate, API Gateway - Or server-based solutions using EC2, Load Balancer - Authentication using Cognito - DNS and domain name configuration through Route53 - SSL configuration - Database using RDS / DynamoDB with appropriate data modelling / single table design - Combine services using SQS, SNS, Step Functions, etc. - Observability using CloudWatch 🖥️ Backend serverless apps - Lambda / API Gateway - ECS Fargate based container services 🤖 Bots and AI Agents - Agentic Bots in MS Teams, Web, Slack, etc. - Experience in OpenAI APIs - Local deployment of DeepSeek, Llama, Qwen, etc. My key expertise designing resilient systems using optimal building block. I have open source repositories on GitHub where I regularly publish extremely niche apps. Proficient in React, Astro, NextJS, NestJS, AWS, AWS Lambda, AWS EC2, S3, etc. I can provide links to code samples and apps that I have made Open Source on request.

A Reliable and Detailed-oriented individual Looking for work in specifically AWS based Cloud Infrastructure, possessing good interpersonal and analytical skills, who wish to work with 100% dedication.

Get $100 AWS Credit + a complimentary, No-Strings-Attached AWS Cloud Assessment. ⭐⭐⭐⭐⭐ "Rarely have I worked with someone as skilled and thorough as Carlos is. Setting up my team on git, configuring our AWS servers to be safe, scalable, and fast, working with my developers to optimize code, being a good person". James Rector, UPWORK 100+ 5-star projects, I'm one of highest-rated and highest-earning AWS freelancer on UPWORK. I have been helping SaaS businesses to build scalable, secure, highly available and high-performing environments on AWS following DevOps/Dev Ops best practices. Here is what I can help you with: ✅ Review of your AWS current architecture performance, security and costs ✅ Architecture of new AWS infrastructure and Data Pipelines ✅ Migrations to AWS, AWS Cost Reduction, Database Optimisations, DevOps Engineer ✅ Managed Services SLA Problems that I solve: ⚡️ Performance At Scale: I build and deploy industry-tested and proven infrastructure code that ensures your application runs and performs fast without compromising security. ⚡️ Cost Optimisation: My infrastructure architecture enables the efficient use of resources and can help you save up to 90% in your AWS costs ⚡️ Security & Compliance: I can help you Scale and innovate quicker while building a solid foundation that will help you maintain a secure, compliant environment. ⚡️ Training & DevOps. I can help you increase your team's technology adoption while automating your DevOps/ Dev Ops processes. Technologies that I adopt and I'm an expert at: ➡️. AWS services such as s EC2, ECS, EKS (Kubernetes), S3, RDS, Step Functions, Lambda, AWS Gateway API, DynamoDB, Beanstalk, Elasticache, SNS, SES, IAM, ControlTower, WAF, Shield, Cloudformation, Cloudfront, CloudWatch, VPC, Route 53, Certificate Manager and others. ➡️. Supporting services such as CDK, Terraform, Rancher, ISTIO, Prometheus, Grafana, Teleport, Papertrail, Graylog, New Relic, Dynatrace, DataDog, Kafka, NEO4J and Spot.io. ➡️. Strong CI/CD DevOps engineering using GitHub/BitBucket Pipelines, CircleCI, ARGOCD. Industries: - FinTech - Media - Ecomm - and more! Here are some of the case studies of the clients I have helped with: 1. MONETRACK - Deploying a client stack in minutes on AWS instead of weeks Industry: Finance Problem: An unreliable process that caused constant frustration and delays. Process: Each deployment would take days to weeks to be set up, requiring between 5-6 people. Results: They now deploy a client stack in minutes instead of weeks using AWS EKS and a customised CI/CD process. In addition, I have: · Improved deployment time from weeks to minutes. · 80% reduction in costs per deployment. · Secure alignment with their client's compliance requirements. 2. Tourism Media - Great flexibility, deploying applications faster and secure on AWS Industry: Media Problem: With no CI/CD integration across all deploys, the job to integrate each stack was inconsistent and pruned to errors. Process: Deployment was not consistent across the board; they were also not resource-friendly Result: They can now push out a consistent deployment process across the company while being quickly adopted by their teams. In addition, I also have: · Improved deployment time by 60% · 70% costs reduction in EC2 instances · Greater scalability and reliability than their Legacy infrastructure. 3. Value-Ad - Scale 10X more on AWS with great stability and without the extra cost. Industry: Finance Problem: An infrastructure that could not scale securely and effectively was harming their client base. Solution: Deploy a new AWS EKS (Kubernetes) environment that is scalable, highly available, secure (PCI-DSS compliant) and cost optimised using AWS Well Architect Framework best practices. Result: They can now handle 10X more requests with excellent stability and without extra cost than their legacy infrastructure. In addition, I have added: · Greater scalability and reliability · Deployments are simplified and done in minutes instead of hours · 32% cheaper than its previous infrastructure Now a bit of myself: I'm a passionate professional with 25 years of experience in enabling business strategies through the practical application of technology architecture principles, practices, and tools. User-centric and solution-oriented, I have managed projects and teams across Australia, New Zealand, the USA, Brazil, the UK, Ukraine, Singapore, Vietnam and India over the past 14 years. A problem-solver in a broad range of technology stacks covering Architecture, Development, Integration, Data, Infrastructure, and Support. Seamless configuration and migration include fast deployment of critical and complex workloads on the cloud with hands-on expertise in AWS Services. Send me a message. I would love to discuss your project.

Most GenAI projects look fine in a demo. They break in production. I fixed that part. I build AI and AWS systems that handle real traffic, real failures, and real AWS bills. The boring, reliable kind. The stuff you can run at 3 AM without paging the on-call. I usually get pulled in when teams hit one of these walls: - RAG works in dev, hallucinates or times out under real load - AWS bill grew 4x in six months and nobody can explain why - AI agent demo got approved, now production keeps breaking - Serverless setup is held together with duct tape and prayers - Team needs a senior pair for one hard architecture call What I actually ship: Production GenAI on AWS. Bedrock, Claude, OpenAI through proper grounding. Retrieval pipelines that handle messy enterprise docs. Hallucination control with structured outputs and validation. Cost per request is tracked from the start, not after the invoice arrives. AWS serverless and event-driven systems. Lambda, API Gateway, DynamoDB, Step Functions. EventBridge and SQS for failure isolation. Terraform or CDK for everything. Lambda Powertools so observability is something you can actually debug. Cost and reliability work. Spotting where AWS spend is bleeding. Multi-region thinking when it matters and not when it doesn't. DR strategies that fit the actual budget, not someone's slide. Recent contracts on Upwork: - 686 hours on a single contract building a Cognito + Lambda + SQS auth and MFA system. Shipped to production without a rollback. - AWS cost optimization audit for a SaaS platform. Real architecture analysis, not generic "buy reserved instances" advice. - AWS infrastructure rewritten in Terraform. Took a messy setup and made it repeatable and safe to roll out. - Currently mid-contract on AI development and production infrastructure work for a US client. Earlier work: - Audit logging system at a previous role, handling over a million requests per minute on ECS and EKS. - AI agent layer for a SaaS platform that cut internal dev cycles by 60%. - Serverless rebuild that hit 99.9% availability with 40% lower run cost. Stack: AWS Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SQS, Bedrock, SageMaker, Cognito, EKS, ECS, Fargate. Terraform, CDK, OpenTofu. LangChain, OpenAI API, Claude API. Python, Node.js, Go. Lambda Powertools, CloudWatch, Datadog. GitHub Actions, ArgoCD, Jenkins. Background: 8 years in production cloud and platform work. AWS Certified Generative AI Developer. AWS Community Builder, Serverless track. Currently Senior DevOps Engineer at ASTM International alongside consulting. Where I tend to push back: - Fully autonomous agents in production. Most use cases are cleaner as deterministic flows with one model call. - Clever architecture over boring architecture. Boring AWS beats clever AWS, every time. - Microservices when a monolith would ship faster. What I will not pretend to do: pure ML research, training models from scratch, anything that needs a PhD in stats. I am a platform person who ships AI systems on AWS. Not a model person. If an idea is bad, I will say so, with the production reason. You are not paying me to nod. How to start: Send me a paragraph about your stack, what you are trying to ship, and what is currently failing. I will come back within 6 hours with a short architecture review. Three things I would change first. Cost impact at 10x scale. What fails first when one component breaks?

Hi, I’m Anupam, a Senior DevSecOps engineer with over 8 years of hands-on experience helping startups and SaaS teams build infrastructure that actually scales. I’ve worked with companies across AI, fintech, blockchain, telecom, and U.S. government projects — but no matter the industry, the goal is always the same: 𝗕𝘂𝗶𝗹𝗱 𝗳𝗮𝘀𝘁. 𝗦𝘁𝗮𝘆 𝘀𝘁𝗮𝗯𝗹𝗲. 𝗦𝗲𝗰𝘂𝗿𝗲 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝘁𝗵𝗲 𝗿𝗲𝘀𝘁. Over the years, I’ve delivered more than 150+ DevOps and cloud projects on Upwork, logged over 3000 hours, and earned Top Rated Plus status. If your team needs someone who doesn’t just set things up but brings long-term thinking around automation, security, and performance — I’m ready to help. 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼 𝗕𝗲𝘀𝘁: Build Kubernetes-based microservices architecture (EKS, GKE, AKS, OpenShift) for high-traffic applications Automate CI/CD pipelines with GitHub Actions, Jenkins, GitLab, Bitbucket Pipelines, and ArgoCD Secure infrastructure using DevSecOps best practices: SAST, DAST, IaC scanning, secrets management Architect reliable, cost-optimized infrastructure across AWS, Azure, and GCP Deploy and manage GPU-intensive AI workloads using NVIDIA GRID, CUDA, NIM, and tools like Kubeflow, Vertex AI, and MLflow Implement full observability with Prometheus, Grafana, ELK, and OpenTelemetry for fast issue detection and resolution 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜’𝘃𝗲 𝗪𝗼𝗿𝗸𝗲𝗱 𝗜𝗻: AI & Machine Learning – Scalable infrastructure for AI SaaS with GPU and MLOps integration Fintech & Blockchain – Secure platforms for payments, compliance, and DeFi systems Telecommunications – Infrastructure for high-volume communications tools Government & Regulated Environments – Compliance-ready systems for SOC2, HIPAA, GDPR Startups & Scaleups – Infrastructure built for speed, stability, and growth 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲: I don’t just write Terraform or spin up clusters. I bring a big-picture mindset — solving real problems with long-term solutions. I work well with teams, communicate clearly, and take full ownership of the work. If you need someone who can jump in, make sense of your current setup, and take things to the next level — let’s talk. 🔹 Skills & Expertise: Cloud & DevOps: 🔹 AWS: EC2, ECS, EKS, S3, IAM, Lambda, Route 53, CloudFront, RDS, CloudFormation, AWS Bedrock, AWS Control Tower 🔹 GCP: Google Kubernetes Engine (GKE), Cloud Functions, Cloud Run, BigQuery, Cloud IAM, Anthos 🔹 Azure: AKS, Azure DevOps, Azure Functions, App Service, Virtual Machines, Azure Policy, Bicep Containerization & Kubernetes Ecosystem: 🔹 Kubernetes Tools: Helm, Kustomize, Istio, Cilium, K3s, OpenShift, Linkerd, Kyverno, OPA Gatekeeper 🔹 Service Mesh: Istio, Linkerd, Consul 🔹 Kubernetes Security: Falco, Trivy, Kube-bench, Kube-hunter, Aqua Security, Prisma Cloud Infrastructure as Code & Automation: 🔹 Terraform, CloudFormation, Pulumi, Ansible, Chef, Puppet, Packer CI/CD & DevSecOps: 🔹 GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, Tekton, Harness, Spinnaker, Drone CI 🔹 Security: DevSecOps, Zero Trust Architecture, HashiCorp Vault, CSPM (Prisma Cloud, Wiz, Lacework), Compliance (ISO 27001, SOC 2, HIPAA, PCI DSS) AI & ML in DevOps (MLOps): 🔹 MLflow, Kubeflow, TFX (TensorFlow Extended), SageMaker Pipelines, Feast (Feature Store), BentoML 🔹 AI-driven Cloud Optimization, Predictive Analytics for Infrastructure Management 🔹 AI-enhanced Observability: Datadog AI Ops, AWS DevOps Guru, New Relic AI Monitoring, Logging & Observability: 🔹 Prometheus, Grafana, Loki, OpenTelemetry, Datadog, New Relic, AWS CloudWatch, ELK Stack Automation & Scripting: 🔹 Bash, PowerShell, Python, Java, Node.js, Ruby, Go FinOps & Cost Optimization: 🔹 AWS Cost Explorer, Azure Cost Management, GCP Billing, Kubecost, Auto-scaling Strategies, Cost-efficient Cloud Architectures Server & Infrastructure Management: 🔹 Linux (Ubuntu/RedHat/CentOS), Windows Server, Apache, Nginx, Tomcat, SQL/NoSQL Version Control & Collaboration: 🔹 Git, GitHub, GitLab, Bitbucket, SVN 📞 Available 24/7 – Quick response time for chats and calls. Let’s discuss how I can help optimize, secure, and scale your cloud infrastructure! 🚀

I build infrastructure that stays up when it matters. Government platforms for 2M+ citizens, banking systems for 1M+ users, and AI rendering stacks on GPU Kubernetes clusters. Shipped on time, documented for the team that inherits it. 5+ years owning the full stack: physical hardware, hypervisors, Kubernetes, service mesh, cloud networking, CI/CD, observability, and GPU AI workloads. Across government, fintech, SaaS, and deep-tech startups. Government Scale — OpenG2P Ethiopia, 3 Ministries Leading platform engineering for Ethiopia's national OpenG2P welfare system across ATI, MoWSA, and EDRMC. Serving 2M+ beneficiaries on RKE2 with Rancher, Istio mTLS, Keycloak SSO, WireGuard site-to-site VPN, XCP-ng hypervisor with Hardware RAID 1+0, and a full Prometheus + Grafana + Alertmanager + Loki observability stack. Currently executing a large-scale ODK to OpenG2P data migration with schema mapping, validation pipelines, audit trails, and phased rollback. AWS Serverless Architecture — WeTruck Architect and operator of WeTruck's serverless logistics platform. CloudFront to ALB to WAF (deny-by-default with Telebirr payment gateway IP whitelisting) to Lambda (FastAPI via Mangum). Fully Terraformed infrastructure. GitHub Actions with OIDC federation (zero long-lived credentials), RDS PostgreSQL, DynamoDB for JWT token store, SQS with dead-letter queue, Secrets Manager, AWS Amplify for three Next.js frontends (back-office, transporter, shipper), and Route 53 private/public DNS. I own production incidents end-to-end and authored the full deployment runbook and troubleshooting playbook. AWS in daily use: Lambda, EC2, EKS, CloudFront, ALB, WAF, RDS, DynamoDB, SQS, Secrets Manager, Amplify, ECR, Route 53, IAM OIDC, VPC (private subnets, NAT Gateway, VPC endpoints), CloudWatch, ACM. MPLS and AI Rendering Infrastructure — MetaPlux (Tech Lead) Tech Lead on a distributed GPU-aware AI rendering platform. MPLS networks for deterministic, low-latency routing across distributed rendering nodes with label-switched paths and traffic engineering for QoS-sensitive GPU workload traffic. BGP and OSPF routing across hybrid environments connecting on-premises GPU clusters to cloud egress points. WireGuard VPN tunnels for secure, auditable connectivity. Multi-cloud strategy across AWS and Azure for rendering workload distribution. Platform architecture for GPU-aware Kubernetes scheduling and job orchestration. This role sits at the intersection of deep networking and modern cloud infrastructure, the combination most DevOps engineers don't have. AI and GPU Infrastructure — Exponent.ch (Switzerland) Provisioned and managed NVIDIA GPU-enabled RKE2 clusters running AI and automation workloads: n8n, Langfuse LLM observability, LibreChat, and ClickHouse analytics. Standardized Helm deployments across 5+ environments using shared-stacks architecture. Integrated Teleport for zero-trust cluster access, automated secrets via Lade and 1Password. Prometheus + Grafana + Mimir observability with 99.9% metric coverage, 60% MTTR reduction, and 3 critical outages prevented through proactive alerting. Banking Infrastructure — 6 Ethiopian Banks, 1M+ Users Delivered high-availability mobile banking and USSD platforms for Siinqee Bank, Hijra Bank, Wegagen Bank, and others with 99.95% uptime across 1M+ users. Designed MPLS network architecture for multi-branch WAN connectivity with QoS for transaction data. Built Jenkins CI/CD for Maven Java apps (4 hours to 15 minutes). ELK processing 10TB+ daily logs. Proxmox and AWS hybrid cloud with ~35% cost reduction. Full Technical Stack Container Orchestration: Kubernetes (RKE2, EKS, K3s), Docker, Helm, Rancher, OpenShift Infrastructure as Code: Terraform, Terragrunt, Ansible, OpenTofu CI/CD: GitHub Actions, GitLab CI, Jenkins Cloud: AWS (full suite), Azure, OpenStack Networking: MPLS, BGP, OSPF, WireGuard, HAProxy, NGINX, VLAN, VPC design Service Mesh: Istio (mTLS, traffic policies, ingress) Observability: Prometheus, Grafana, Mimir, Alertmanager, Loki, OpenTelemetry, ELK, Zabbix, SigNoz Security and Identity: Keycloak, HashiCorp Vault, Teleport, IAM OIDC Virtualization: Proxmox, XCP-ng, VMware AI and Automation: NVIDIA GPU Kubernetes, YOLO, ONNX, TensorRT, n8n, Langfuse, LibreChat, ClickHouse Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, DynamoDB Backend: Python (FastAPI), Bash, Node.js How I work I overcommunicate early, give realistic timelines, and ship verified, not "it should work." I treat testing as the real deliverable, not a checkbox. If something is out of scope or a bad idea, I'll tell you before you spend money on it. Message me if you need: - AWS or Kubernetes infrastructure built or fixed - CI/CD pipelines developers actually trust - GPU and AI infrastructure with inference pipelines and observability - Migration from cloud to cloud, or on-prem to production cloud - MPLS, BGP, or complex network architecture across hybrid environments - Observability that catches problems before users do