Hire the Best AWS DevOps Engineers

I’m an AWS Certified Solutions Architect – Professional with multiple AWS specialty certifications and hands-on experience designing scalable, secure cloud architectures. I help businesses migrate applications to AWS, improve infrastructure reliability, and implement DevOps best practices. My AWS Certifications: • AWS Certified Solutions Architect – Professional • AWS Certified Security – Specialty • AWS Certified Advanced Networking – Specialty • AWS Certified Solutions Architect – Associate • AWS Certified Cloud Practitioner I can help with: • Cloud migration to AWS • High-availability architecture design • DevOps automation and CI/CD pipelines • Infrastructure security and networking • Application deployment and monitoring I also teach AWS concepts on my YouTube channel(Learn Tech), helping engineers understand real-world AWS architecture and best practices.

As an AWS-certified DevOps and cloud security engineer, I help startups, fintech companies, and AI/ML platforms build secure, compliant, production-grade AWS infrastructure — including the AI infrastructure layer most DevOps engineers haven't touched yet: LLM inference endpoints, RAG pipelines, and GPU-backed compute. With certifications in AWS DevOps Engineer – Professional, AWS Security – Specialty, AWS CloudOps Engineer – Associate, and AWS Solutions Architect – Professional (in progress), your infrastructure is in capable, currently-certified hands. WHAT I DO BEST AI/ML Infrastructure on AWS I deploy fine-tuned LLM inference endpoints across GPU instance families, build RAG knowledge bases using Amazon Bedrock and pgvector, and stand up Feature Stores for ML pipelines — all on Terraform, all production-grade. If your platform runs AI workloads, I build the infrastructure underneath the model. Enterprise Cloud Foundation & Governance I establish AWS cloud foundations using Control Tower and Landing Zone with automated multi-account environments and security guardrails — Security Hub, GuardDuty, AWS Config, CloudTrail, and SCPs. This significantly eases SOC 2, ISO 27001, and HIPAA audit preparation through automated compliance evidence. Security-First Infrastructure VPC isolation, least-privilege IAM, secrets management, and encryption everywhere. A recent project passed a SOC 2 audit with zero infrastructure findings, built in from day one. Cloud Migrations & Containerization I migrate applications from on-premises and legacy clouds (GCP, Azure) to AWS with zero downtime — deploying to ECS/Fargate, EKS, or traditional EC2, with a focus on cost efficiency and security. Infrastructure as Code Everything is Terraform-based, version-controlled, and reproducible — multi-account Control Tower setups, VPC architectures, IAM policies, all defined as code with peer review. CI/CD & Production Reliability Deployment pipelines (GitHub Actions, GitLab CI, AWS CodePipeline) that cut deployment time from hours to minutes, with automated testing and rollback. Designed for 99.99% uptime through Multi-AZ deployments and auto-scaling. RECENT RESULTS - Architected GCP-to-AWS migration for an AI/ML fintech platform — 5 fine-tuned LLM inference endpoints across GPU instance families, RAG knowledge base on pgvector, full Terraform IaC - Deployed a containerized Spring Boot app on ECS Fargate with Control Tower multi-account setup, Security Hub, GuardDuty, Config, and CloudTrail across dev/staging/prod - Migrated a payment platform to AWS — 99.99% uptime, handled 10x traffic spikes, 40% cost reduction - Delivered enterprise Landing Zone migration framework for 85 applications, 450 VMs, 55 databases - Automated deployments from 2 hours to 15 minutes with improved security posture TECH STACK AWS AI/ML: Amazon Bedrock, Amazon SageMaker, RAG pipelines, pgvector, Feature Store, GPU instances AWS Governance & Security: Control Tower, Organizations, Security Hub, GuardDuty, Config, CloudTrail, IAM, Secrets Manager, KMS, WAF AWS Infrastructure: ECS/Fargate, EC2, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, ALB/NLB, Auto Scaling Containers & Orchestration: Docker, ECS/Fargate, Kubernetes/EKS, ECR Infrastructure as Code: Terraform (5+ years), CloudFormation, AWS CDK CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline/CodeBuild/CodeDeploy Databases: RDS (PostgreSQL, MySQL, SQL Server), DynamoDB, MongoDB/DocumentDB Monitoring: CloudWatch, CloudTrail, VPC Flow Logs, Security Hub, Config Scripting: Python, Bash, Shell WHO I WORK WITH - AI/ML platforms needing production-grade inference and RAG infrastructure - Startups preparing for SOC 2 certification - Fintech companies needing secure infrastructure for financial data - Healthcare/SaaS companies requiring HIPAA-ready environments - Companies migrating from on-premises, GCP, or Azure to AWS - Enterprises needing multi-account AWS governance WHAT MAKES ME DIFFERENT Most DevOps engineers deploy applications. I build enterprise security foundations — and the AI infrastructure layer most of them haven't touched yet. You get: ✓ AI/ML infrastructure built by someone who understands both the model and the cloud underneath it ✓ Security and compliance built in from day one ✓ Automated audit evidence collection ✓ Multi-account governance preventing drift ✓ Clear documentation and knowledge transfer Looking for secure, audit-ready AWS infrastructure — or AI/ML platform infrastructure that actually scales? Let's talk.

20-year Solution Architect and Fractional CTO helping Series A–C SaaS scale-ups and Fortune 500 teams ship cloud-native, AI-powered systems that don't break at 10× load. DevOps, Software Architecture, AI consulting — delivered, not theorized. If your roadmap has any of these on it — a cloud migration that's slipping, an AI/LLM feature that demos well but won't survive production, a monolith you need to break up without freezing the product team, or a DevOps platform that's burning cash and on-call time — I've shipped that exact engagement before, more than once. What I do (and have done for 20 years): ✅ Solution & Software Architecture — system design, domain modeling, microservices vs. modular monolith trade-offs, event-driven & API-first platforms, architecture reviews and ADRs your team will actually follow ✅ DevOps, Cloud & Platform Engineering — AWS / Azure / GCP, Kubernetes (EKS/AKS/GKE), Terraform, CI/CD, FinOps cost reduction, SRE / observability, zero-downtime migrations ✅ AI Consulting & AI Solutions Architecture — production LLM / RAG systems, agentic workflows, AI strategy roadmaps, build-vs-buy decisions, model selection, evaluation harnesses, vector DBs, secure enterprise AI ✅ Fractional CTO & Tech Due Diligence — for founders pre-Series A through Series C; for PE / VC pre/post-investment For startups & scale-ups: I move at founder-speed. MVP architectures that won't need a rewrite at Series B, AI features you can actually ship, hiring plans for your first 5 engineers, and an architecture roadmap your investors will respect. For enterprises: I bring TOGAF-style rigor without the consultancy bloat — solution architecture, cloud migration strategy, vendor-neutral AI roadmaps, security/compliance-aware design (SOC 2, ISO 27001, HIPAA, GDPR), and stakeholder-ready documentation. Selected outcomes from the last 20 years: 🏆 Cut cloud spend 41% and shortened deploy time from 45 minutes to under 5 minutes for a SaaS platform serving 12M users 🏆 Designed the AI/RAG architecture that took a B2B SaaS from PoC to production with 30+ enterprise customers in 5 months 🏆 Re-architected a legacy monolith into modular services with zero customer-facing downtime over 7 months 🏆 Led DevOps platform builds (Terraform + Kubernetes + GitOps) that cut on-call pages by 70% and onboarding from weeks to days How I work: small commitments first. Most engagements start with a paid 60-minute architecture call or a 1–2 week assessment, so we both know it fits before you commit to a long retainer. I write things down. I document decisions. I leave your team better than I found it. What I won't do: rewrite-the-world projects with no executive sponsorship, "just do everything yourself" engagements with no engineering team to hand off to, or AI demos that aren't on a path to production. Send me a paragraph about your stack, your team size, and the outcome you need in the next 90 days. I'll come back inside 24 hours with a short, specific point of view not a sales pitch. If we're a fit, we'll book a working call from there.

I’m not gonna dazzle you in a technical interview anymore. Those days are behind me. I used to recite buzzwords. Now I’m the guy who’s actually been in the trenches for over 20 years. I show up, listen, cut through the noise, use every tool available (AI included), and leave your project in a much better state than I found it. No theater, no ego, no pretending I have the entire React source code memorized or an expert with every tool known to man. I’m not the flashiest voice on the call, but I’m the one who quietly gets things done. If you want the thing built carefully, fixed properly, securely, automated and shipped with real production quality while your competitors are still talking about it, send me the details. 🤖AI Automation I will integrate AI in your team's workflows and pipelines 🔒 Security & compliance I will audit your AWS security posture, automate your compliance controls, and get you audit-ready. FedRAMP, SOC 2, HIPAA, PCI DSS, NIST. I've done this at scale. ☁️ Infrastructure & cost I will clean up your AWS mess, consolidate your codebase, and cut your monthly bill. 🔧 DevOps & platform engineering I will build your CI/CD pipeline, containerize your apps, and give your team a deployment process they actually trust. 💻 Full stack I write the application code too. When your infrastructure engineer can also fix the API that's causing the outage, problems get solved faster. 📊 Data & ETL I will build your data pipelines, automate your integrations, and make sure your data gets where it needs to go without babysitting. 💰 FinOps I will find where your AWS bill is bleeding and stop it. Reserved Instances, Savings Plans, right-sizing, storage tiering, Graviton migrations. If you're overpaying, I'll show you exactly where and fix it. 🧑‍💼 Team leadership I will listen to your team, understand the competing priorities, and give them patterns and practices they can use long after I'm gone. No ivory tower recommendations. Stuff that actually sticks. 🤝 How I work Async by default. I send updates before you have to ask. ⭐ Credentials AWS Certified Security Specialty. Nearly 20 years of experience. ⚡Keywords: Security & Compliance: AWS Security Hub, GuardDuty, CloudTrail, Config Rules, IAM, SCPs, KMS, Secrets Manager, WAF, Shield, Inspector, Macie, Detective, ACM, Network Firewall, Firewall Manager, SSO, Identity Center, Cognito, Directory Service, Certificate Manager, Private CA, FedRAMP, SOC 2, HIPAA, PCI DSS, NIST 800-53, NIST 800-171, CIS Benchmarks, STIG, FISMA, CMMC, ISO 27001, GovCloud, IL4, IL5, ITAR, Compliance Automation, Security Hardening, Vulnerability Management, Incident Response, Zero Trust, DevSecOps, OWASP, SIEM, Trivy, Checkov, tfsec, Prowler, ScoutSuite Cloud & Infrastructure: AWS, Terraform, CloudFormation, AWS CDK, Pulumi, EC2, ECS, EKS, Lambda, Fargate, App Runner, Lightsail, Elastic Beanstalk, S3, RDS, Aurora, DynamoDB, ElastiCache, Redis, Memcached, DocumentDB, Neptune, Timestream, OpenSearch, VPC, Transit Gateway, Direct Connect, VPN, PrivateLink, Route 53, CloudFront, ALB, NLB, Global Accelerator, Auto Scaling, Multi-Account, AWS Organizations, Control Tower, Landing Zone, Service Catalog, RAM, Backup, Disaster Recovery, Multi-Region, High Availability, VMware, Bare Metal, On-Prem Migration, Data Center Migration, Azure, GCP, Hybrid Cloud, Outposts DevOps & Platform Engineering: CI/CD, GitHub Actions, GitLab CI, Jenkins, ArgoCD, FluxCD, GitOps, Spinnaker, CodePipeline, CodeBuild, CodeDeploy, Docker, Kubernetes, Kops, Helm, Kustomize, Ansible, Packer, Vagrant, Chef, Puppet, Terraform Cloud, Atlantis, Spacelift, Nginx, Apache, HAProxy, Envoy, Istio, CloudWatch, Datadog, Prometheus, Grafana, ELK Stack, Fluentd, Filebeat, PagerDuty, OpsGenie, New Relic, Splunk, Jaeger, X-Ray, SRE, Platform Engineering, Blue-Green, Canary, Rolling Deployments, Feature Flags, Git LFS, Nexus, Artifactory, SonarQube, Vault Full Stack Development: Python, Flask, Django, FastAPI, Node.js, Express, React, Next.js, TypeScript, JavaScript, Ruby, Rails, Java, Spring, PHP, Laravel, Go, Bash, PowerShell, REST APIs, GraphQL, gRPC, PostgreSQL, MySQL, MariaDB, MongoDB, SQLite, Redis, Celery, Sidekiq, RabbitMQ, Kafka, Serverless, API Gateway, Step Functions, EventBridge, SQS, SNS, Kinesis, MQTT, IoT Core, Microservices, Event-Driven, ETL, Airflow, Glue, Pandas, SQLAlchemy, Jinja2, Webpack, Vite, Alpine.js, jQuery, Bootstrap, Tailwind FinOps: Cost Explorer, Cost Optimization, Reserved Instances, Savings Plans, Spot Instances, Right-Sizing, Trusted Advisor, Compute Optimizer, Cost Allocation Tags, Budgets, FinOps, Cloud Financial Management, Storage Tiering, S3 Lifecycle, Graviton, ARM Specialty: Cloud Migration, Mainframe Modernization, Legacy Migration, Containerization, Re-architecture, Government Cloud, DoD, Game Dev CI/CD, IoT Fleet Management, Fractional CTO, Technical Leadership, Cloud Architect, DevOps Engineer, Security Engineer, Solutions Architect, SRE, Staff Engineer

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.

📣 FREE technical consultation (details below) 🐻 Proud UC Berkeley graduate (Applied Mathematics & Economics) and an entrepreneurial, reliable full-stack software developer with broad expertise across modern technologies (listed below). 💪💪💪 With experience as: • Full-Stack Team Lead at Camping World, a publicly traded company • Lead Technical Teaching Assistant at Hack Reactor, a leading software engineering bootcamp • Founder of Atini Studio, a high-performance software development agency With years of experience working with clients and leading engineering teams, I prioritize accountability, clear communication, and efficient execution. 🌈🌈🌈 I’m the founder of Atini Studio, a vibrant software development agency and a team I like to call software doctors: highly skilled engineers and creative UI/UX designers who diagnose, fix, and elevate digital products. ⌨️⌨️⌨️ What I help clients with: 📌 MVP development for startups 📌 Full-stack web applications 📌 Cross-platform mobile apps 📌 AI-powered features & integrations 📌 Clean implementation from Figma to production 📌 API integrations (Stripe, OpenAI, Google, Zoom, etc.) 📌 Performance optimization 📌 Technical architecture planning 📌 Product roadmap & scaling strategy We also leverage AI internally to accelerate development workflows and improve efficiency, so you get faster delivery without sacrificing quality. 🧩 Complimentary Technical Consultation Not sure how to move forward with your product? I can help you clarify: • The right tech stack • MVP scope • Timeline and budget expectations • System architecture decisions • Whether your current product is built correctly I offer a complimentary strategy session to help you create a clear and practical execution plan. 💻 Tech Stack: • Front End JavaScript | TypeScript | React | Next.js | React-Native | Angular | Vue.js | Tailwind CSS • Back End Node.js | NestJS | Python | Django | PostgreSQL | MongoDB | MySQL | ORM | GraphQL • API Integrations ChatGPT / OpenAI | Stripe | Google | Zoom | and more... • DevOps Amazon Web Services (AWS) | Firebase/GCP(Google Cloud Platform) | Azure | Docker • Testing Jest | Mocha | TDD • Developer Tools Git | npm | Webpack | Babel | Agile Methodology | Nginx • Design Adobe XD | Figma