Hire the Best AWS ECS 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

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.

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.

Hi there! I’m 𝗣𝗿𝗮𝘀𝗵𝗮𝗻𝘀𝗵𝗮 - a Full Stack Developer with 5+ years of experience delivering high-quality, cloud-native web applications. I specialize in building scalable solutions using AWS, GCP, and modern frameworks like React, Node.js, and Python. From frontend interfaces to backend systems and cloud architecture, I bring full-cycle expertise to every project. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React, TypeScript, JavaScript 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Node.js, Express, Python 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL, Redis, MongoDB 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: • AWS (Lambda, S3, API Gateway, ECS, DynamoDB) • GCP (Cloud Functions, Firestore, App Engine) 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 & 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀: REST APIs, WebSockets, Model Context Protocol (MCP) 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? • Proven track record building reliable, secure, and efficient systems • Deep experience with cloud-native services and multi-tenant SaaS platforms • Strong understanding of Model Context Protocol (MCP) for context-aware applications and scalable microservices • Clean, maintainable code and clear communication throughout every stage I’m passionate about solving real-world problems through tech and delivering results that truly make a difference. Let’s collaborate and bring your idea to life!

I help companies design, automate, secure, and optimize cloud platforms on AWS, Azure, and GCP. With 8+ years of hands-on experience in Cloud, DevOps, Security, and Platform Engineering, I have led cloud transformation, infrastructure automation, Kubernetes modernization, FinOps initiatives, and enterprise security programs for Fortune 500 organizations and large-scale global environments. My expertise goes beyond infrastructure deployment—I focus on building scalable, secure, highly available, and cost-efficient platforms that accelerate software delivery while reducing operational overhead. I currently work as a Technical Lead responsible for cloud operations, platform engineering, security governance, automation, infrastructure modernization, cost optimization, and DevSecOps initiatives across multi-cloud environments. What I Can Help You With Cloud Architecture & Platform Engineering ✔ AWS Landing Zones & Multi-Account Architectures ✔ AWS Organizations & Control Tower ✔ Cloud Migration & Modernization ✔ High Availability & Disaster Recovery ✔ Hybrid Cloud & Multi-Cloud Architectures ✔ Platform Engineering & Internal Developer Platforms ✔ Infrastructure Standardization & Governance ✔ FinOps & Cloud Cost Optimization DevOps & CI/CD ✔ GitHub Actions ✔ GitLab CI/CD ✔ Jenkins ✔ AWS CodePipeline ✔ Bitbucket Pipelines ✔ ArgoCD ✔ Blue/Green Deployments ✔ Canary Releases ✔ Zero-Downtime Deployments ✔ Release Automation ✔ Environment Promotion Strategies Kubernetes & Container Platforms ✔ Amazon EKS ✔ Amazon ECS (EC2 & Fargate) ✔ Kubernetes Administration ✔ Cluster Upgrades & Modernization ✔ Helm ✔ Ingress Controllers ✔ Service Mesh ✔ Container Security ✔ Docker ✔ Container Registries (ECR, Docker Hub) ✔ Production Kubernetes Operations Infrastructure as Code & Automation ✔ Terraform ✔ OpenTofu ✔ CloudFormation ✔ Ansible ✔ Packer ✔ Python Automation ✔ Bash Scripting ✔ Infrastructure Lifecycle Management ✔ GitOps ✔ Self-Service Provisioning Platforms AI Infrastructure, MLOps & AIOps ✔ Amazon Bedrock ✔ Amazon Q ✔ OpenAI API Integrations ✔ AI-Powered DevOps Workflows ✔ LLM Infrastructure Deployment ✔ AI Agent Hosting Platforms ✔ Vector Databases ✔ RAG Infrastructure ✔ GPU Workloads ✔ Kubernetes for AI Platforms ✔ MLOps Pipelines ✔ AI Observability ✔ AIOps & Intelligent Incident Management ✔ AI-Assisted Infrastructure Automation Cloud Security & DevSecOps ✔ AWS Security Best Practices ✔ IAM Governance ✔ Identity Federation & SSO ✔ Security Baselines ✔ Secrets Management ✔ WAF & Edge Security ✔ Vulnerability Management ✔ Security Automation ✔ Compliance Automation ✔ SOC2 Readiness ✔ ISO 27001 Controls ✔ CIS Benchmark Implementations ✔ Cloud Security Reviews & Audits AWS Expertise ✔ EC2 ✔ ECS ✔ EKS ✔ Lambda ✔ API Gateway ✔ VPC ✔ Route 53 ✔ CloudFront ✔ ALB / NLB ✔ S3 ✔ RDS ✔ DynamoDB ✔ Aurora ✔ Elasticache ✔ Secrets Manager ✔ Systems Manager ✔ Control Tower ✔ Organizations ✔ Config ✔ CloudTrail ✔ GuardDuty ✔ Security Hub ✔ Compute Optimizer ✔ Cost Explorer ✔ Budgets ✔ Savings Plans & Reserved Instances Monitoring, Observability & Reliability Engineering ✔ CloudWatch ✔ Prometheus ✔ Grafana ✔ ELK Stack ✔ OpenSearch ✔ OpenTelemetry ✔ Distributed Tracing ✔ New Relic ✔ Datadog ✔ Dynatrace ✔ Incident Response ✔ SRE Practices ✔ Reliability Engineering ✔ Capacity Planning Certifications 🏆 AWS Certified Solutions Architect – Professional 🏆 AWS Certified DevOps Engineer – Professional 🏆 AWS Certified Security – Specialty 🏆 AWS Certified AI Practitioner 🏆 Google Cloud Associate Cloud Engineer Why Clients Work With Me ✅ Technical Lead with real enterprise-scale cloud experience ✅ Strong architecture and hands-on implementation skills ✅ Security-first mindset ✅ Deep AWS expertise ✅ Cost optimization and FinOps experience ✅ Fast troubleshooting and root-cause analysis ✅ Clear communication and documentation ✅ Visiting Lecturer in Cloud, DevOps, and Security ✅ AWS Community Contributor and Public Speaker Areas I Commonly Support AWS Infrastructure Design Terraform Projects Kubernetes / EKS ECS Fargate Cloud Security Reviews CI/CD Automation Cloud Cost Optimization Platform Engineering AI Infrastructure MLOps & AIOps DevSecOps Cloud Migrations Production Troubleshooting Observability & Monitoring