I help growing AI teams and SaaS companies fix AWS issues that slow releases, waste cloud budget, and put production at risk. I don't just "run DevOps". Being Solution Oriented, I find the 20% of infrastructure issues causing 80% of failures and overspending: unstable pipelines, slow builds, noisy deployments, mis-sized compute, always-on non-prod environments, missing alerts, weak access controls, unsafe infrastructure changes, backend bottlenecks, full stack developer handoff issues, and weak collaboration between application and infrastructure teams. You get a clear action plan, quick wins in the first days, and production-safe improvements shipped via Terraform, AWS Terraform, CI/CD, ci cd pipelines, rollback-ready delivery, and practical DevOps Engineer execution using AWS Kubernetes, Microsoft Azure, azure data factory and Google Cloud Platform. What you get from a cloud infrastructure optimization engagement: ✅ 5x faster releases via stable CI/CD, ci cd workflows, and AWS Terraform driven delivery ✅ Up to 40% AWS cost reduction by eliminating waste and rightsizing resources ✅ Safer AWS migrations with minimal downtime and rollback plans ✅ Scalable, production-ready cloud infrastructure for growing SaaS and AI products utilizing AWS Kubernetes ✅ 99.9% uptime mindset: monitoring, backups, health checks, and safe rollouts across platforms ✅ Better AWS backend stability for backend, backend AWS, and API-driven platforms ⚙️ How I work as an AWS DevOps Engineer: 1️⃣ Discovery & Assessment: analyze your current Amazon Web Services, Linux servers, backend, kubernetes, AWS ECS, AWS Lambda, AWS EKS, EKS, Amazon EKS, GitLab, GitHub Actions, AWS Terraform, AWS Kubernetes, and deployment pain points 2️⃣ Plan: define clear scope, milestones, risks, and the fastest first win across your infrastructure 3️⃣ Implement: build and automate with AWS DevOps Engineer best practices, DevOps Engineer delivery standards, cloud engineer ownership, and clean documentation 4️⃣ Verify + handover: release runbook, rollback path tested, monitoring validated, and short documentation for your team I mainly work with AWS, but I can also support mixed-cloud teams where Microsoft Azure pipelines, Azure Terraform, Azure Cloud Engineer workflows, Azure infrastructure, Google Cloud Platform, AWS VMware, or migration planning are part of the environment. My expertise covers integrating AWS Terraform and AWS Kubernetes into multi-cloud setups. Real examples: Non-Production Cloud Cost Reduction (~30%) Problem: Dev and test environments were running 24/7, burning budget overnight with no business value. 🎯 Result: Reduced non-production AWS spend by ~30% through AWS DevOps Engineer cost review, rightsizing, and automated start/stop scheduling with zero production impact. CI/CD for AWS Lambda (Python/Node.js) & Web Apps Built 30+ pipelines as an AWS DevOps Engineer for AWS Lambda build and deploy workflows with unit tests and security gates, integrating them with Jenkins, Azure DevOps and GCP DevOps workflows. 🎯 Result: New AWS Lambda services, as well as JavaScript, React, WordPress, Laravel and MySQL backend stacks, can be provisioned from a template in minutes with consistent standards. AWS Terraform + runbooks Built AWS infrastructure as IaC with terraform modules, safe plan/apply workflows, AWS Kubernetes clusters, Ansible configuration, and devops bash automation. 🎯 Result: Performance environments provisioned in ~10 minutes to reduce AWS spend. Dagster Cloud Hybrid Agent on AWS ECS As a Senior DevOps Engineer, I built a Docker image and ci cd pipeline with GitHub Actions to deploy an agent into a client AWS account. 🎯 Result: Self-serve deployments and automated dataflow runs. IBM Cloud to AWS migration Designed architecture as aws architect, AWS DevOps Engineer, and cloud engineer. Rebuilt with kubernetes, AWS EKS, EKS, Amazon EKS, and Terraform. 🎯 Result: Production-ready foundation using AWS Kubernetes. Redshift cross-account migration Migrated cluster as devops engineer with data engineer handoff support. 🎯 Result: Reliable recovery runbook for faster response. Additional environments supported: Azure DevOps pipelines, Azure Terraform, Azure Cloud Engineer support, GCP DevOps, AWS VMware, AWS Terraform, full stack developer issues, backend stabilization, backend AWS architecture, and data engineer infrastructure. Best fit for teams that need senior DevOps support for a launch, migration, infrastructure stabilization, AWS backend improvement, backend AWS architecture, or ongoing production ownership. I can support your team as an AWS DevOps Engineer, devops engineer, cloud engineer, aws architect, and senior delivery owner across Amazon Web Services, kubernetes, ci/cd, github actions, gitlab, Git, AWS Terraform, AWS Kubernetes, Azure DevOps, GCP DevOps, and terraform-based infrastructure. ☎️ Message me a short description of your current pain for fast Senior AWS DevOps Engineer support.

After five years working as a DevOps Engineer, and now freshly armed with a Master's in Cybersecurity, I can finally say my paranoia has some qualifications to back it up. I have become fluent in YAML, emotionally dependent on caffeine, and professionally obsessed with automating myself out of a job. I specialize in herding containers with Kubernetes, battling entropy with Terraform, and convincing clouds (AWS, GCP, Azure, and the rest of the squad) to do my bidding. I write a lot of Python scripts, mostly so Python knows I still care. I keep Linux machines running smooth, and I scan containers like I am that person at the airport who takes their job way too seriously. Some days I am staring at more dashboards than a Formula 1 pit crew. Other days I am explaining SSL handshakes to people who definitely did not ask for that explanation. And yeah, I once wasted three hours of my life because of a missing semicolon. We don't talk about that. I am here to solve real world problems, shift security left, and keep the servers up long enough to enjoy my coffee while it's still hot.

I architect and implement robust cloud infrastructure using AWS services (Lambda, ECS, EKS) with a focus on containerization, observability, and automation. My expertise includes: Designing CI/CD pipelines and GitOps workflows for containerized applications Optimizing cloud resources and reducing costs through automation Managing high-availability database clusters (PostgreSQL) Implementing observability solutions with Prometheus, Grafana, and Cloudwatch Developing infrastructure tooling with Golang and Python I excel at solving complex infrastructure challenges and creating scalable systems that support business growth. My experience spans ML platforms, data pipelines, and Kubernetes orchestration, with a strong focus on operational excellence and documentation.

Senior Cloud Engineer & Site Reliability Engineer with more than 10 years of experience architecting and managing enterprise cloud infrastructure across Azure, AWS, and Google Cloud Platform. I specialize in building resilient, scalable systems that keep businesses running smoothly. What I bring to the table: I design and maintain production-grade Kubernetes infrastructure across multiple cloud platforms—AWS, Google Cloud, and Oracle Cloud—as well as on-premises environments using k3s. My work focuses on building cloud-agnostic solutions that maximize flexibility and resilience. I manage complex hybrid cloud architectures with Proxmox virtualization and drive infrastructure automation through modern CI/CD pipelines with Azure DevOps and GitLab. Core expertise: Cloud Platforms: Microsoft Azure, AWS, Google Cloud Platform, Oracle Cloud, DigitalOcean Container Orchestration: Kubernetes (multi-cloud), k3s, Docker Infrastructure as Code: Terraform, Ansible, CI/CD pipelines System Administration: Ubuntu, CentOS, web services (Apache, Nginx), mail servers (Exim, SendGrid) Monitoring & SRE: Prometheus, Grafana, Stackdriver, incident response Scripting & Automation: Python, Bash Security: ISC2 Certified in Cybersecurity (CC) - Provisionally Passed Beyond the technical work, I'm passionate about mentoring and knowledge sharing—whether that's teaching my child chess or helping teams adopt better DevOps practices. Certifications: ISC2 Certified in Cybersecurity Google Cloud Certified Associate Cloud Engineer

I am a DevOps and Site Reliability Engineer with strong expertise in cloud infrastructure, Linux systems, automation, and production operations. I help businesses design and maintain secure, scalable, and highly available environments using modern DevOps and SRE methodologies. My core competencies include Infrastructure as Code (Terraform), CI/CD pipeline architecture, containerization with Docker and Kubernetes, monitoring and alerting systems, and reliability engineering for production workloads. I focus on improving fault tolerance, optimizing performance, and ensuring operational excellence in live environments. I have hands-on experience with AWS, Linux administration, networking, DNS, databases, and web servers. I design automated workflows that reduce downtime, enhance observability, and streamline deployments. My approach centers on delivering production-ready solutions, maintaining clear communication, and providing dependable support until systems are stable, secure, and performing at their best.

I architect production ML and AI/LLM platforms for enterprises and AI-native startups. My work spans the full system: model serving (self-hosted on Kubernetes or via OpenAI, Anthropic, and Bedrock APIs), MLOps and CI/CD, observability, and the governance posture that lets these systems hold up in regulated environments. A lot of engagements start with helping teams decide which workloads belong where, then building the platform to support them. *Background*: · 8+ years building ML platforms across AWS, GCP, and on-prem · Cloud Infrastructure Engineer at Royal Bank of Canada: hybrid AKS/Anthos migration of a critical API platform under bank change management · ML Infrastructure Developer at BorealisAI (RBC's AI research institute): SLURM on NVIDIA DGX, OpenShift CI/CD for ML pipelines · Through HADI Technology, recent client engagements include SkanAI (production ML infrastructure on Kubernetes), Joinable (self-hosted LLM serving), Fylo (graph RAG and neurosymbolic AI platform), and ZahraTrust (AI agent infrastructure) *Recent work*: · Self-hosted LLM serving on Kubernetes with vLLM and KubeAI (DeepSeek-R1, Llama 3); continuous batching, autoscaling, OpenAI-compatible API surface · Graph RAG and neurosymbolic extraction pipelines combining vector retrieval with ShEx-constrained schema validation for accuracy and traceability · Reusable MLOps platform components (MLflow, Argo CD, Terraform, Helm) so domain teams onboard new ML workloads in days · Cross-cloud ML pipelines on AWS and GCP with unified experiment tracking, artifact management, and gated promotion · Production observability for ML systems (Prometheus, Grafana, EFK) with alerting on latency, throughput, drift, and cost *Good fit if you're*: · Running LLMs in production and the infrastructure is becoming the bottleneck · Deciding between API, self-hosted, or hybrid for a given workload · Moving from ad-hoc ML deployments to a structured internal ML platform with proper lifecycle controls · In a regulated industry (banking, healthcare, government) and need infrastructure that holds up to compliance review *Stack*: vLLM, KubeAI, MLflow, Triton Inference Server, ONNX Runtime, Kubernetes, OpenShift, Terraform, Argo CD, Helm, Airflow, Prometheus, Grafana, Vault, AWS, GCP, SLURM I typically begin engagements with a 2-3 week architecture assessment, so we can scope the right system together before committing to a multi-month build.

Specializing in Cloud Computing and Kubernetes, I am adept at automating and scaling cloud infrastructures for SaaS platforms and AI startups. My expertise lies in using tools like Terraform, Ansible, and Helm to streamline deployments efficiently. I have a proven track record in managing large-scale batch processing, ensuring robust and scalable solutions that maximize operational efficiency and reliability in demanding tech environments.

Most cloud environments don't fail because of bad intentions they fail because reliability, security, and compliance were never engineered together from the start. That gap is where audits get delayed, production breaks under pressure, and teams scramble to fix what should have been built right. Over 13 years I have designed and operated cloud infrastructure for organizations where downtime and compliance gaps carry real consequences Bank of America, Fiserv, and the Federal Reserve Board. That experience shaped how I approach every engagement: secure architecture first, automation always, and reliability that holds up under scrutiny. Here's where I add measurable value: Cloud Architecture & DevOps: Designing resilient infrastructure on AWS and Azure, with Terraform-driven automation and Kubernetes orchestration that scales without becoming fragile. Site Reliability Engineering (SRE): Building observability, SLOs, and incident response practices that catch problems before customers do not after. Security & Compliance: Hardening environments against real threats while aligning with PCI-DSS, SOC2, NIST, and ISO 27001 the frameworks that determine whether your audit goes smoothly or doesn't. CI/CD & Infrastructure as Code: Standardizing deployment pipelines so releases are fast, repeatable, and don't depend on tribal knowledge. Whether you are a startup preparing for your first SOC2 audit or an enterprise team modernizing legacy infrastructure, I bring senior-level judgment with hands-on execution no handoffs, no gaps. Certifications: AWS Solutions Architect | RHCE | CCNA | CompTIA A+, N+, S+ Open to a quick call to review your current setup and identify exactly where the risk is.

Production cloud infrastructure usually breaks in the same places: unstable deployments, rising AWS costs, weak observability, fragile Kubernetes clusters, messy Terraform, poor CI/CD, and cloud environments that were built quickly but now need to be made reliable, secure, and scalable. I help startups, SaaS companies, fintech teams, and growing engineering organizations build and operate production-ready cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, observability, security, and automation. AWS is my primary cloud platform, and most of my work is around AWS infrastructure, EKS, EC2, RDS, VPC, IAM, S3, CloudFront, Route53, Lambda, ECR, ECS, CloudWatch, WAF, and cost optimization. I also have strong hands-on experience with Google Cloud Platform and Microsoft Azure, including GKE, Cloud SQL, Pub/Sub, Cloud Build, Azure DevOps, Azure infrastructure, CI/CD pipelines, and multi-cloud environments. I usually get called in when: — AWS infrastructure was built fast and now needs to be made production-grade — Kubernetes or EKS/GKE clusters are unstable, expensive, or difficult to operate — Terraform exists, but environments still drift or changes feel risky — CI/CD pipelines have too many manual steps or unreliable deployments — Cloud costs are growing faster than the product — Teams lack proper monitoring, alerting, logs, dashboards, or incident visibility — Security, IAM, networking, secrets, and access controls need cleanup — Applications need to be migrated from VMs or manual servers to cloud-native infrastructure — Engineering teams need a reliable DevOps/SRE partner who can own infrastructure work end to end What I can help with: AWS Cloud Infrastructure Designing, building, troubleshooting, and improving AWS environments using EC2, VPC, IAM, RDS, EKS, ECS, ECR, Lambda, S3, CloudFront, Route53, WAF, CloudWatch, SQS, SNS, API Gateway, Auto Scaling, Load Balancers, and cost controls. Kubernetes & Containers Production Kubernetes setup and support using EKS, GKE, Helm, ArgoCD, Helmfile, Docker, ingress controllers, autoscaling, pod disruption budgets, network policies, service discovery, resource optimization, and cluster troubleshooting. Terraform & Infrastructure as Code Clean, reusable, documented Terraform modules for AWS, GCP, and Azure. I help with remote state, multi-environment setups, Terraform refactoring, drift reduction, CloudFormation, AWS CDK, and infrastructure automation. CI/CD & Deployment Automation Reliable pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, AWS CodePipeline, Docker builds, Helm deployments, GitOps workflows, staged rollouts, blue-green deployments, rollback strategies, and release automation. Observability & SRE Monitoring, logging, tracing, dashboards, and alerts using Prometheus, Grafana, CloudWatch, Loki, OpenTelemetry, Datadog, ELK Stack, PagerDuty, and incident response workflows. I focus on alerts that are useful, not noisy. Cloud Cost Optimization & FinOps AWS and Kubernetes cost reviews, unused resource cleanup, right-sizing, RDS optimization, S3 lifecycle policies, NAT/data transfer review, Savings Plans/Reserved Instance evaluation, Kubernetes resource efficiency, and monthly cost reporting. Security & Production Readiness IAM hardening, least-privilege access, secrets management, Vault, External Secrets, network security, security groups, WAF, backup readiness, disaster recovery planning, public exposure review, SOC2-ready practices, and cloud security baselines. Cloud Migration & Modernization Migration from traditional servers, VMs, or manual deployments to AWS, Kubernetes, Terraform, CI/CD, and cloud-native architecture. I can help modernize fragile infrastructure without disrupting your product. How I work: I do not build demo infrastructure that only works during handoff. I build systems your team can understand, operate, modify, and scale after I am gone. My focus is clean documentation, reliable automation, secure access, practical monitoring, and infrastructure that supports the business instead of slowing it down. If your AWS, Kubernetes, Terraform, CI/CD, or cloud infrastructure is unstable, expensive, hard to deploy, or difficult to monitor, send me a message with what is currently broken. I will tell you honestly what I would check first and whether I can help. Keywords / Relevant Skills: DevOps Engineer, Cloud Engineer, AWS Engineer, AWS DevOps Engineer, AWS Cloud Engineer, AWS Solutions Architect, Azure Engineer, Azure DevOps Engineer, GCP Engineer, Google Cloud Engineer, Site Reliability Engineer, SRE, Platform Engineer, Kubernetes Engineer, Terraform Engineer, CI/CD Engineer, Infrastructure Engineer, Cloud Architect, DevSecOps Engineer, Automation Engineer, FinOps, Cloud Cost Optimization, Cloud Migration, Cloud Security, Linux, Docker, Kubernetes, EKS, GKE, AKS, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI, Azure DevOps, ArgoCD, Helm, Prometheus, Grafana, CloudWatch, Datadog, OpenTelemetry.

Google-Grade Reliability for Your Cloud Infrastructure. GCP 10x Certified, AWS 1x Certified, Databricks 1X certified Senior Infrastructure Architect and former Google SRE (11 years) and Oracle Engineer with over 25 years of experience managing global-scale production environments. If you are looking for a "pair of hands" to write scripts, there are many options. If you are looking for an Owner-Architect to design, secure, and scale your business-critical infrastructure with zero-risk execution, let’s talk. With 10x GCP Professional Certifications, I specialize in taking complex, high-traffic ecosystems and making them resilient, cost-effective, and simple to manage. Expertise Across the Stack: Cloud Architecture: Expert-level design and migration across GCP, AWS, and Hybrid Cloud. DevOps & SRE: Implementing "True SRE" principles—SLOs, error budgets, and automated toil reduction. Infrastructure as Code (IaC): Building reproducible, version-controlled environments using Terraform, Helm, Ansible, and Packer. Kubernetes & Orchestration: Deep experience with GKE, EKS, and self-managed clusters (Rancher). Security & Compliance: Hardening infrastructure via VPC Service Controls, Zero-Trust IAM, and automated security pipelines. CI/CD Optimization: Streamlining delivery via Jenkins, GitHub Actions, and Google Cloud Build. Why Work With Me? The "Google" Standard: I apply the same rigor and reliability standards I used at Google to your infrastructure, ensuring 99.9% availability. Cost Efficiency: I specialize in cloud cost optimization, often saving my clients more in monthly cloud spend than the cost of my engagement. Simplicity at Scale: I believe the best architecture is the simplest one that solves the problem. I build systems that your team can actually maintain. Technical Proficiencies: Linux: 20+ years of deep systems-level expertise (RHEL, Debian, Ubuntu). Automation: Puppet, Ansible, Terraform. CI/CD: Jenkins, Artifactory, GitHub, Cloud Build. Containers: Docker, Kubernetes, Container Registry.