Hire the Best Kubernetes Developers in North Carolina

I'm a Full-Stack Software Developer with a B.S. in Computer Science from UNC Chapel Hill, specializing in modern web applications, AI integrations, and backend development. I build responsive, scalable applications using Python, JavaScript/TypeScript, React, Angular, FastAPI, SQL, and Docker. I've developed AI-powered tools using OpenAI APIs and local LLMs, designed intuitive user interfaces, built REST APIs, and deployed production-ready applications. My experience includes: • Full-stack web development • AI and LLM integrations • API development and automation • Database design (PostgreSQL & MySQL) • Responsive frontend development • Bug fixing, feature implementation, and performance optimization One of my recent projects involved developing an AI-powered text evaluation platform for the University of North Carolina, where I helped build a system that analyzes writing using large language models. I've also created business websites, dashboards, and custom web applications from design to deployment. I value clear communication, clean code, and delivering reliable solutions on time. Whether you need a new application, API integration, automation script, or improvements to an existing project, I'm ready to help.

I’m an AI Full-Stack Data Engineer specializing in designing, building, and deploying end-to-end data systems that power analytics, machine learning, and AI-driven applications. I help companies turn raw, messy data into scalable, production-ready pipelines and intelligent systems. My focus is on building reliable data infrastructure, integrating LLMs into real-world products, and enabling data-driven decision-making through clean architecture and automation. I work across the full stack of data engineering from ingestion and transformation to model deployment and API integration, ensuring performance, scalability, and maintainability at every layer. Core expertise includes: Building scalable ETL/ELT pipelines (batch & real-time) Designing data architectures (data lakes, warehouses, lakehouses) LLM integration (OpenAI, LangChain, RAG systems, vector databases) API development (FastAPI, Flask, Node.js) Cloud platforms (AWS, GCP, Azure) MLOps & deployment (Docker, Kubernetes, CI/CD) Data processing frameworks (Spark, Pandas, Airflow, dbt) Database systems (PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery) I prioritize clean code, system reliability, and business impact. Whether it’s building a full data platform from scratch or optimizing existing pipelines, I deliver production-grade solutions that scale.

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 bring extensive experience delivering cloud-native platforms, CI/CD automation, and secure infrastructure with over a decade of experience for global enterprises across US, UK, Europe and APAC. I have led cloud migrations and platform builds using Terraform (Terragrunt), CloudFormation, EKS/ECS (Fargate), and serverless services. My recent work includes building Jenkins pipelines running on Kubernetes, integrating SonarQube, Nexus, JaCoCo, and OWASP security scans to enforce quality, security, and compliance as part of the delivery lifecycle. I have hands-on experience with Java Spring Boot microservices, containerization, and DevSecOps practices including secrets management, identity integration, and observability. I am comfortable troubleshooting complex CI/CD and Kubernetes issues in production-grade environments. I enjoy working closely with engineers, architects, and stakeholders to design scalable, reliable systems and to raise engineering standards across teams. I would welcome the opportunity to discuss how my experience can contribute to your requirement.

I’m Josh, a US-based consultant with 10+ years of experience in full-stack development, cybersecurity, and cloud engineering. I specialize in building scalable, secure web applications using frameworks like Next.js, Django, and Laravel. I'm experienced in applying AI technologies to solve real-world business problems. I've utilized tools like Streamlit, Langchain, and Gemini 1.5 Pro to streamline operations, automate tasks, and enhance decision-making. I can translate complex business requirements into actionable steps and identify opportunities for AI-driven solutions, including LLMs, image generation, and vector databases. I’m proficient in cloud architecture and implementation using Terraform on AWS and GCP. My expertise in Kubernetes and Docker enables me to efficiently orchestrate and deploy containerized applications. I’m passionate about SRE and DevOps practices, focusing on reliability, performance, and security. I have a deep understanding of the full stack of *nix-based applications, allowing me to efficiently build, debug, and optimize systems across various technology stacks.

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.