Hardik Shah
Principal AWS Cloud Architect & DevOps Engineer
15+ years designing and operating enterprise cloud systems across fintech, healthcare, and government sectors. My practice runs on a single principle: if it requires a manual click in production, it's not done.
Core Strengths
Deep, production-proven expertise across the full AWS cloud lifecycle — from initial landing zones to live AI inference pipelines.
DevSecOps & Compliance
FedRAMP, SOC2, NIST SP 800-53 delivery
GitOps Automation
ArgoCD, Flux, zero manual operations
Kubernetes (EKS)
Karpenter, vCluster, Argo Rollouts
Terraform & IaC
DRY Terragrunt modules at org scale
Enterprise Architecture
Multi-region, multi-account AWS Orgs
AI on AWS
Bedrock, SageMaker, RAG pipelines
15+ Years Building Cloud Systems
I'm a Principal AWS Cloud Solutions Architect with over 15 years driving cloud transformation at enterprise scale across fintech, healthcare, and government sectors.
My practice is defined by an automation-first, zero click-ops philosophy. Production environments I design have no manual operations — every infrastructure change is a signed Git commit that flows through peer review, automated compliance validation, and GitOps reconciliation before it ever touches a cluster.
I specialize in secure multi-account AWS Organizations, production-grade Kubernetes on EKS, DRY Terraform/Terragrunt module ecosystems, and enterprise AI deployments on AWS Bedrock. I've designed systems that passed FedRAMP audits with zero findings, migrated state election workloads to GovCloud, and reduced infrastructure costs by 60%+ through Karpenter and spot orchestration.
Outside client work, I mentor engineers, contribute open-source AWS tooling, and advocate for security and compliance as first-class engineering constraints — not afterthoughts.
AWS Migration, Modernization & GenAI
Hardened frameworks to modernize legacy workloads, reduce TCO, and deploy secure enterprise AI on AWS.
Migration & Modernization
MAP-aligned migration roadmaps using the 7 Rs to shift legacy systems to resilient, cloud-native topologies.
- Rehost → Replatform → Refactor
- VMware to EC2, SQL Server to Aurora PG
- Cutover strategies & day-zero FinOps
Cloud FinOps & Cost Optimization
Aggressive rightsizing, workload consolidation, and modern architectures to prune idle spend with zero disruption.
- Right-sizing & workload orchestration
- Active-Active Multi-Region resilience
- AWS Well-Architected compliance
Generative AI Workloads
Deploying production-ready LLM pipelines, security gateways, and semantic vector indexes inside secure cloud borders.
- AWS Bedrock & Knowledge Base setups
- Internal AI Copilots & Q in QuickSight
- Zero-Trust LLM safety & guardrails
How I Work
From first conversation to production deployment — a repeatable, code-first process with no surprises.
Discover & Assess
Deep-dive into existing infrastructure, compliance posture, cost drivers, and team workflows before writing a single line of code.
Design in Code
Every architecture decision is captured as Terraform — not slides. Reviewed, version-controlled, and peer-approved before apply.
GitOps Deployment
All environment changes flow through Git. ArgoCD reconciles desired vs. actual state continuously.
Validate & Harden
Automated compliance scans, load tests, chaos experiments, and security audits run on every deployment pipeline.