Hire the Best Kubernetes Developers in North Carolina

30 years in software. I take fractional CTO, Engineering Director, and senior delivery-consulting seats: stand up the org, set the roadmap, and own outcomes. Leadership: Senior Engineering Manager at ScienceLogic / Skylar AI — grew a 9-person AI org to 30, stood up a delivery model, took two products to GA on SaaS and on-prem. Director of Platform at Drizly (7 teams / 95 people). SEM at Lenovo TruScale ($200M+ as-a-service). Service Engineering Manager at Microsoft. Part-time CTO at LinksRez (flagship product used to raise $1M) and Director of Development at Ivee. How I work: hire and mentor leaders, cut work that does not map to goals, and ship through architecture and platform decisions on SaaS, data, and cloud systems (.NET, Java/Spring, React/Next.js, AWS, Postgres/Mongo). Recent consulting: backend SaaS for a product team, MongoDB/platform advisory, and scoping a Next.js/Postgres CRM against a live repo. If you need an engineering org stood up, a platform unblocked, or a fractional technical leader in the room — that is the engagement.

30+ years of experience designing and delivering scalable, high-performance technology solutions across fintech, healthcare, and other enterprise environments, with expertise in HIPAA-aware systems and compliance-focused architecture and a strong focus on Data Engineering, AI, DevOps, Cloud, and Security Engineering. My core expertise includes data architecture, ETL/ELT pipelines, dbt, data modeling, data integration, database engineering, data migration, and large-scale data processing. I build reliable data platforms and pipelines that turn complex, fragmented data into actionable business intelligence and AI-ready systems. I have extensive experience with Python, SQL, Node.js, cloud-native architecture, AWS, GCP, Docker, Kubernetes, CI/CD, infrastructure automation, and distributed systems. More recently, I have focused heavily on AI-powered applications and automation, including AI agents, LLM integrations, RAG systems, intelligent workflow automation, machine learning data pipelines, vector databases, and real-time AI-assisted analytics. My additional expertise includes DevOps and Security Engineering, including cloud security, network security, SIEM/SOC environments, security monitoring, CIS controls, IAM, infrastructure hardening, and secure system architecture. I also bring experience with Microsoft 365, SharePoint, Power Automate, Power Platform, tenant migrations, enterprise collaboration systems, and workflow automation. I specialize in building secure, scalable, automated, and data-driven systems that connect modern cloud infrastructure, data platforms, and AI technologies.

Are you struggling with: ⚠️ Failed Deployments, 🚨 Chaotic Terraform, and Surprise 💸 AWS Bills? I make CI/CD green, Infrastructure safe, and Cloud Costs cheaper—for steady, reliable, cost‑sane DevOps 🏆 Turn Infrastructure Chaos into DevOps Confidence in weeks, not months - ✅ CI/CD: Reduce deployment failures with green builds, rollbacks, and approval workflows - ✅ Terraform: Eliminate "works on my machine" with PR-based infrastructure changes, automated testing, and audit trails - ✅ AWS Cost: Cut cloud spend with actionable recommendations and monitoring dashboards We’re a fit if… - 🔑 Your last deployment broke production at 2 AM and took 4 hours to fix. - 🔑 Someone accidentally deleted your staging environment with `terraform destroy` - 🔑 Your AWS bill doubled last month, and nobody knows why Working with me, you will - 🎉 STOP STRUGGLING with failed deploys and risky infra changes - 🎉 Move to PR‑based Terraform with policy gates and state locking - 🎉 See cost drops with before/after charts and a plan to retain savings - 🎉 Get proof, not promises: screenshots, logs, and short demos for every win About me Ex-Amazon DevOps engineer who eliminates your infrastructure headaches. I specialize in turning unreliable deployments into automated workflows and uncontrolled cloud costs into predictable budgets. Nearly a decade of experience solving these same problems repeatedly. Core expertise: Terraform infrastructure automation, AWS/Azure cloud platforms, CI/CD Pipelines (Jenkins, Github Actions, Gitlab), and AWS Cost Optimization. READY TO ELIMINATE YOUR DEVOPS HEADACHES? Click the green ‘Invite to Job’ button in the top right-hand corner, and send me your biggest infrastructure challenges. Let’s organize a call!

I architect and ship full-stack web applications that scale under pressure, comply by design, and evolve intelligently. With 12+ years building secure web platforms for Cisco, FedEx, and Cox Communications, I blend React, Node.js, .NET, and Azure with targeted AI integration, not for novelty, but to eliminate toil, harden quality, and accelerate time-to-value. Beyond traditional development, I engineer Python-based data pipelines and PowerBI visualizations that turn raw operational metrics into executive decision-making tools. My dual focus ensures your frontend is responsive, your backend is secure, and your data strategy is actionable from day one. AI coding tools (Cursor, Claude Code, Lovable) that accelerate scaffolding, debugging, and exploration, so you ship features, not boilerplate ✅ My Achievements @Built a React/Node.js IT automation suite used by 5,000+ employees, integrating AI-powered ServiceNow agents that auto-summarize incidents, lifting First Contact Resolution from 86% to 93% and cutting triage time by 40%. @Engineered a secure, zero-trust web platform on Azure (App Services, Key Vault, Managed Identities) that passed all security audits with zero findings while enabling daily production releases via GitHub Actions CI/CD with zero rollbacks. @Reduced onboarding from 4 weeks to 10 days for support engineers by delivering a full-stack training portal (React + Node + PostgreSQL), boosting certification pass rates by 40% and cutting repeat tickets by 25% through embedded semantic search. ✅ I treat AI as a force multiplier for web engineering: → LLMs that turn raw logs into actionable insights, so you fix root causes, not symptoms → Semantic search that transforms static knowledge bases into dynamic assistant experiences → Intelligent QA that prioritizes test coverage where risk is highest → AI coding tools (Cursor, Claude Code, Lovable) that accelerate scaffolding, debugging, and exploration, so you ship features, not boilerplate → Python-powered data pipelines feeding AI-enhanced PowerBI dashboards, as demonstrated in the xbyte analytics operations dashboard that analyzed 12K+ daily transactions to reduce cost per unit by 15% and improve forecasting accuracy by 30%. ✅ Technical Skills →Full Stack Development: [React, TypeScript, Next.js, HTML5/CSS3, Styled Components, Node.js, Express, .NET Core, C#, RESTful APIs, GraphQL, WebSockets, Serverless (Azure Functions) ] →Databases: [SQL Server, PostgreSQL, MongoDB, MySQL, Dapper, Redis] →Data Engineering & Visualization: [Python (Pandas, NumPy, ETL Automation), PowerBI (DAX, Power Query, Data Modeling), Semantic Search] →DevOps & Cloud: [Microsoft Azure (App Services, Functions, Key Vault), AWS (EC2, S3, Lambda), Docker, Terraform, Kubernetes (AKS), GitHub Actions, Azure DevOps, CI/CD, Infrastructure as Code (Bicep, ARM)] →AI Coding Tools: [Cursor, Claude Code, Lovable, GitHub Copilot, Make] →AI Integration: [AI Agent, OpenAI, GPT-4, Gemini, Deep Learning, AI Bot, LLM, LangChain, LangSmith, RAG, Zapier, MemGPT] →AI-Augmented QA: [Automated Test Orchestration, ServiceNow AI Analytics, Test Automation (Jest, Cypress, Selenium), SLA Compliance Monitoring] My foundation is robust web architecture: clean APIs, responsive UIs, infrastructure-as-code, and observability by default. AI sits on top, making it all smarter, not more complex. Let’s build a web application that’s secure, scalable, and quietly intelligent.