Hire the Best AWS Developers

If your AWS bill keeps climbing, production breaks under load, or a compliance deadline is getting close - the problem is rarely just AWS. It’s the architecture. I step into fragile systems and fix both: cloud infrastructure, and the application design running on it. Because even perfect AWS setup cannot save software that wasn’t designed to scale, isolate failures, or handle real production traffic. Most teams I work with are stuck in one of these situations: - AWS costs rising every month with no clear reason - Systems that pass tests but fail under real traffic - Compliance pressure from regulators or auditors - Constant firefighting instead of controlled releases Hiring more engineers or adding more monitoring increases complexity. I simplify the architecture - both infrastructure and code-level design - so the problems stop repeating. Recent outcomes: - Avoided a $5M federal penalty by delivering a critical federal platform before deadline, focusing only on what was required for compliant launch - Cut hosting costs from $96K to $14K per year by eliminating architectural waste across infrastructure and services - Designed and delivered a FedNow-ready, Federal Reserve-compliant real-time payments system scaling to 60,000 transactions per second using horizontally scaled services built specifically for cloud behavior What changes after I’m done: - Infrastructure and software designed to scale together - Predictable AWS costs - Systems that stay stable under load - Clear documentation and runbooks - A team that can operate it independently I build boring, predictable systems on purpose. Boring systems survive audits, scale events, and 3am incidents. If you’re dealing with cost pressure, reliability issues, or compliance risk, send me your biggest concern. I’ll tell you exactly what I would fix first and whether it’s worth doing. If it’s not a fit, I’ll say so.

AI Agent Architect | Claude Code | AWS Bedrock | LangGraph | n8n | RAG | Full Stack AI Systems I build production-grade AI systems, autonomous agents, and enterprise SaaS platforms that integrate deeply with real business operations. Over the last 11+ years, I've worked as a Software Engineer, Team Lead, CTO, and AI Architect, helping startups and enterprises design, build, deploy, and scale cloud-native products across AI, FinTech, Analytics, Media, eCommerce, and Enterprise SaaS. My focus today is building AI-native systems that move beyond simple chatbot experiences and become reliable business operators capable of reasoning, planning, executing tasks, and integrating with enterprise workflows. ━━━━━━━━━━━━━━━━━━━━━━ AI Agents & Agentic Systems I design and build production-ready AI agents capable of: • Autonomous decision making • Multi-step reasoning and execution • Tool calling and API orchestration • Multi-agent collaboration • Planner → Supervisor → Worker architectures • Long-term memory and contextual learning • Human-in-the-loop workflows • Event-driven automation systems • Enterprise knowledge retrieval • Agent evaluation and reliability testing Technologies: • Claude API (Anthropic) • OpenAI GPT-4o / Realtime API • AWS Bedrock • LangGraph • LangChain • MCP (Model Context Protocol) • CrewAI • Vector Databases • Knowledge Graphs Recent implementations include: • Financial Intelligence Agents • Company Research Agents • B2B Outreach Agents • AI Website Builders • AI Content Generation Systems • Customer Support Agents • Voice AI Agents • Enterprise Document Intelligence Platforms ━━━━━━━━━━━━━━━━━━━━━━ Retrieval-Augmented Generation (RAG) I build enterprise-grade RAG architectures designed for accuracy, traceability, and scalability. Capabilities: • Enterprise document ingestion pipelines • PDF, DOCX, HTML, Database ingestion • Chunking and embedding optimization • Hybrid retrieval architectures • Metadata filtering • Re-ranking pipelines • Knowledge graph integration • Hallucination reduction • Citation and provenance systems • Multi-tenant knowledge bases Vector Technologies: • Pinecone • OpenSearch • ElasticSearch • pgvector • Weaviate • FAISS • Supabase Vector Recent projects include enterprise document intelligence platforms and governed reasoning systems for business-critical workflows. ━━━━━━━━━━━━━━━━━━━━━━ n8n & Workflow Automation I build advanced automation systems using n8n that combine deterministic workflows with LLM reasoning. Capabilities: • AI-powered workflow orchestration • Agent-driven automation pipelines • Human approval workflows • Event-driven architecture • Queue-based processing • Retry-safe workflows • Background job processing • Cross-platform integrations • Multi-step decision engines Integrations: • Slack • Google Workspace • Microsoft 365 • HubSpot • Salesforce • Stripe • Twilio • Airtable • Notion • Internal APIs ━━━━━━━━━━━━━━━━━━━━━━ Voice AI & Conversational Systems Design and implementation of production-ready voice agents using: • Twilio Voice • OpenAI Realtime API • Claude-powered reasoning • AWS Transcribe • Whisper • ElevenLabs • Stateful conversation engines • Automated call summaries • CRM integrations Use Cases: • Appointment Booking • Lead Qualification • Customer Support • Sales Outreach • Reservation Systems • Internal Operations ━━━━━━━━━━━━━━━━━━━━━━ AWS Cloud & AI Infrastructure Strong background designing cloud-native AI platforms on AWS. Core Services: • AWS Bedrock • Lambda • ECS • EC2 • API Gateway • SQS • SNS • EventBridge • DynamoDB • Aurora • PostgreSQL • S3 • CloudFront • CloudWatch • Step Functions Infrastructure: • Terraform • CloudFormation • Docker • Kubernetes • CI/CD Pipelines • Multi-Tenant SaaS Architectures ━━━━━━━━━━━━━━━━━━━━━━ Full Stack AI Product Development Frontend: • React • Next.js • TypeScript Backend: • Node.js • Express • NestJS • Python • FastAPI Databases: • PostgreSQL • MySQL • MongoDB • DynamoDB • Redis ━━━━━━━━━━━━━━━━━━━━━━ Industries Served • FinTech • Enterprise SaaS • LegalTech • Healthcare • Media & Broadcasting • Crypto & Blockchain • Analytics Platforms • Marketing Automation • Cloud Infrastructure ━━━━━━━━━━━━━━━━━━━━━━ What Clients Typically Hire Me For ✓ Multi-Agent Systems ✓ Claude & AWS Bedrock Development ✓ Enterprise RAG Platforms ✓ n8n AI Automation ✓ AI SaaS Products ✓ Voice AI Agents ✓ Workflow Orchestration ✓ AI Architecture Reviews ✓ AWS Cloud Architecture ✓ Production Launches & Scaling If you're building an AI product and need someone who understands both agentic AI and production-grade software architecture, I can help design, build, deploy, and scale the entire system. ✓ Claude Code & OpenAI GPT-4o ✓ Multi-Agent Systems ✓ LangGraph & RAG Pipelines ✓ n8n & Workflow Automation ✓ Voice AI (Twilio, ElevenLabs) ✓ Node.js, React & AWS Bedrock ✓ Stripe, SaaS & Enterprise Integrations ✓ AI Agents for Finance, Legal, Healthcare & Op

Building an AI agent or RAG demo is easy. Making it reliable, secure, observable, and cost-predictable in production is where most projects fail. I design, build, and rescue production AI systems on AWS for SaaS and enterprise teams. Expert-Vetted (Top 1% on Upwork) | 100% Job Success | $80K+ earned 2,700+ hours | 41 jobs | 3x AWS Professional certified (Generative AI, Solutions Architect, DevOps) | 4x AWS Community Builder | 9+ years CLIENTS BRING ME IN WHEN - An AI agent works in a demo but breaks with real users, tools, permissions, retries, or live business data - A RAG system retrieves the wrong context or produces weak citations - AI inference and cloud spend swing unpredictably month to month - A proof of concept needs production architecture, security, and a safe deploy and rollback path - Claude, OpenAI, or Amazon Bedrock must connect to real workflows - An AWS platform has reliability, scaling, security, or cost problems WHAT I BUILD AI Agents and Agentic Workflows - Multi-agent systems with LangChain, LangGraph, tool calling, and MCP - State management, tracing, approvals, and human-in-the-loop escalation - Deterministic fallback paths for when the model is the wrong tool Enterprise RAG and Knowledge Systems - Hybrid retrieval (dense embeddings + BM25), reranking, and citations - Vector stores: OpenSearch, Pinecone, Qdrant, pgvector, FAISS - Tenant isolation and access control for multi-tenant data LLM Integration and Evaluation - Claude, OpenAI, Amazon Bedrock, and open-source models - Prompt engineering, guardrails, evals, and regression tracing - Cost and latency optimization for production inference AWS Platform and Serverless - Event-driven systems: Lambda, API Gateway, DynamoDB, SQS, EventBridge, Step Functions - ECS, EKS, RDS, OpenSearch, ElastiCache - Terraform, AWS CDK, CloudFormation, SAM - IAM least-privilege, observability, incident recovery, cost optimization TECHNICAL STACK Python, Node.js, TypeScript | LangChain, LangGraph, MCP | Claude, OpenAI, Amazon Bedrock | OpenSearch, Pinecone, Qdrant, pgvector | AWS Lambda, DynamoDB, Step Functions, EventBridge | Terraform, CDK, Docker, Kubernetes SELECTED PRODUCTION OUTCOMES - 43% reduction in monthly Lambda cost - 55% improvement in processing time - Event-driven ordering platform handling millions of transactions per month with strict uptime and recovery requirements - Production integrations across Claude, OpenAI, and Amazon Bedrock I AM A GOOD FIT IF - You want a system that survives real users, not another demo - You have real workflows, data, or a running product to build on - You want senior ownership and clear architectural decisions I AM NOT THE FIT IF - You are exploring AI with no use case yet - Price matters more than reliability and outcomes HOW I WORK I do not start with a framework. I start with your workflow, your data, your permission model, your failure modes, and your operating cost. That includes telling you when not to build something. I have advised clients against AI agents where a deterministic workflow was safer, against RAG where a direct query was enough, and against managed services that add cost or lock-in without earning it. Guardrails, evals, and tenant isolation reduce risk and improve reliability; they do not eliminate hallucinations, and I will not claim they do. Send me your architecture, repo context, or the production issue you are stuck on. I will identify the highest-risk path to production and the smallest safe step to fix it.

Senior Full Stack & AWS DevOps Engineer with 8+ years of experience building and stabilizing production systems for startups, agencies, and enterprises. Clients typically bring me in for two kinds of work: building new SaaS platforms and applications from the ground up, or fixing critical issues in existing systems that other developers couldn't resolve. Recent examples include resolving a multi-tenant data isolation bug in a Node.js and PostgreSQL platform, setting up HAProxy with Consul integration across a 3-node production cluster, and diagnosing AWS infrastructure issues that were causing live outages. I work across the full stack, React, Next.js, Node.js, NestJS, PostgreSQL, MongoDB, paired with deep AWS and DevOps expertise, AWS, Docker, Kubernetes, Terraform, CI/CD pipelines. I've contributed to platforms across healthcare, HRMS, warehouse automation, fintech, automotive, and SaaS, serving thousands of users. Core Expertise Full Stack Web Development, SaaS Platform Architecture, Multi-Tenant Application Design, REST API and GraphQL Development, Microservices Architecture, Cloud Infrastructure and DevOps, CI/CD Automation, Performance Optimization, Security and Authentication, Database Design and Optimization Frontend : React.js, Next.js, TypeScript, Redux, Tailwind CSS, Material UI, JavaScript (ES6+), HTML5, CSS3 Backend : Node.js, NestJS, Express.js, Python, Django, Laravel, REST APIs, GraphQL, WebSockets Databases : PostgreSQL, MySQL, MongoDB, Redis AWS and DevOps : AWS EC2, S3, RDS, Lambda, CloudFront, Route53, Docker, Kubernetes, Terraform, Nginx, GitHub Actions, Jenkins, Cloudflare Security and Authentication : JWT, OAuth 2.0, AWS Cognito, RBAC, SSO Testing and QA : Jest, Cypress, Mocha, Postman Whether you're building a new SaaS platform, scaling existing infrastructure, or need someone to debug and fix a production issue quickly, I can help take it from where it is to where it needs to be. Let's talk about your project.

🎖 AWS Certified Solutions Architect – Professional 🎖 AWS Certified Solutions Architect – Associate 🎖 CISA Certified Information Security Expert 🎖 16+ Years in Cloud Security, Compliance & AI-Driven Automation 💡 Track Record: ✅ 6,900+ Hours on Upwork ✅ 200+ Successfully Delivered Projects ✅ Top Rated Plus Freelancer When businesses need to secure their cloud infrastructure, pass a compliance audit, or build AI-powered DevSecOps pipelines — they come to me. I'm a CISA-certified Cloud Security and Compliance Expert with 16+ years of experience helping startups, enterprises, and regulated industries build systems that are secure, audit-ready, and future-proof. What sets me apart today is my ability to combine deep compliance and security expertise with modern AI capabilities — including Agentic AI workflows, prompt engineering, and intelligent automation — to deliver faster results with fewer manual bottlenecks. Over 200+ projects and 6,500+ hours on Upwork, I've helped organizations across the US, Europe, and Middle East strengthen their security posture, achieve certifications, and ship secure products without slowing down their engineering teams. 🤖 AI & Intelligent Automation Skills (New & In-Demand) ✅ Agentic AI Development — Design and deploy autonomous AI agents for compliance monitoring, security alerting, and audit evidence collection using LangChain, AutoGen, and CrewAI frameworks ✅ Prompt Engineering — Craft production-grade prompts for security analysis, policy generation, risk assessment automation, and compliance documentation using GPT-4, Claude, and open-source LLMs ✅ AI-Powered DevSecOps — Integrate AI-driven code scanning, vulnerability detection, and automated remediation into CI/CD pipelines ✅ Intelligent Compliance Automation — Build AI workflows that continuously monitor controls, flag gaps, and generate audit-ready evidence — reducing manual compliance effort by up to 70% ✅ LLM Integration & Development — Integrate large language models into security dashboards, internal tools, and compliance platforms via REST APIs and SDKs 🔐 Core Expertise: Security, Compliance & Governance ✅ IT Compliance & Audit Readiness HIPAA, PCI-DSS, GDPR, ISO 27001, SOC 1 & SOC 2 implementation and audit support DPDP Act compliance frameworks and governance Risk assessments, gap analysis & security control mapping Policy development, security documentation & AI-assisted monitoring ✅ Security Audits, VAPT & Risk Mitigation Comprehensive security audits with detailed, actionable reporting Cloud Security Audits across AWS & Azure environments Vulnerability Assessment & Penetration Testing (VAPT) CIS Benchmarks and NIST framework enforcement Enterprise-wide vulnerability management & remediation planning ✅ DevSecOps & Cloud Security Engineering DevSecOps with Zero Trust architecture and AI-assisted threat detection Cloud Security Posture Management (CSPM) AWS Security Hub, GuardDuty, Inspector Azure Security Center & governance policies Secure CI/CD pipeline automation with built-in AI-powered security controls ☁️ Cloud & DevOps Engineering Cloud Platforms AWS (EC2, ECS, EKS, Lambda, IAM, S3, Route 53, RDS, CloudFormation) · Microsoft Azure (AKS, VMs, VNets, Azure DevOps, Azure Monitor) · Kubernetes · Docker · Terraform · Helm · GitOps · Ansible · Jenkins CI/CD & Infrastructure as Code GitHub Actions · GitLab CI/CD · Azure Pipelines · Terraform · CloudFormation · Automated deployments & release management Monitoring, Observability & Incident Response Prometheus · Grafana · OpenTelemetry · AWS CloudWatch · ELK Stack · Datadog · AI-assisted threat monitoring · Disaster recovery & business continuity planning 💡 What You Get Working With Me ✅ Compliance-ready security frameworks built for audit day ✅ AI agents and automation that cut manual compliance work dramatically ✅ End-to-end security audits with clear, prioritized remediation plans ✅ Secure, scalable cloud infrastructure with proactive AI-powered monitoring ✅ DevSecOps pipelines with security and intelligence baked in from day one ✅ A single expert who speaks both security and AI — no need to hire two people 📞 Available now for cloud security audits, SOC 2 / ISO 27001 compliance, DevSecOps implementation, VAPT, Agentic AI development, and intelligent compliance automation. 🚀 Let's talk about how I can help you build a system that's secure, compliant, and ready for the AI-driven future.

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.