Hire the Best Kubeflow Specialists

Mid-Senior DevOps | AI Engineer I design and operate production infrastructure while building AI-powered systems that integrate directly into real business workflows. My work spans cloud architecture, Linux systems, CI/CD, Kubernetes, Supabase, Cloudflare, and scalable backend infrastructure ,alongside AI integrations using Claude, ChatGPT, MCP servers, and custom automation pipelines. Core Expertise DevOps & Cloud Infrastructure (AWS, GCP, Azure, Hetzner) Kubernetes, Docker, CI/CD pipelines Linux server administration & automation Cloudflare, reverse proxies, DNS, SSL, networking Supabase & PostgreSQL platforms AI integrations with Claude & ChatGPT MCP server development & tool-calling systems API integrations & workflow orchestration Infrastructure security, staging, backups, and production hardening Recent Projects Built a production MCP server connecting ServiceM8 with Claude AI using 14 operational tools Managed a multi-server WordPress infrastructure fleet with 21 production websites Architected a multi-tenant Supabase platform for UK property compliance workflows Deployed and secured cloud environments with automated backups, staging systems, and CI/CD pipelines Implemented AI-powered workflows integrating external APIs, databases, and operational systems I work comfortably across the full stack of modern infrastructure and AI systems — from provisioning servers and securing production environments to building intelligent integrations that automate business operations. If you need someone who can both architect reliable infrastructure and build production-ready AI systems on top of it, let’s discuss your project.

Your deploys are slow, your cloud bill keeps climbing, and one bad night could take production down. I fix infrastructure so it stops being the thing that wakes you up. I'm a Dev Ops and Cloud Infrastructure Engineer with 10 years building, automating, and securing production environments on OpenStack, OpenShift and Kubernetes. Top Rated on Upwork with a 100% Job Success Score across every engagement — clients keep me because I ship work that runs without me and scales without surprises. What I deliver 🚀 CI/CD Automation — GitHub Actions, GitLab CI, pipelines that take you from manual, error-prone releases to fast, zero-downtime automated deploys with rollback built in. ☁️ Cloud Infrastructure (Open Stack, AWS, Azure) — Production-grade environments designed for scalability, security, and cost from day one. Cloud architecture, Deployment and Operations. 📦 Kubernetes & Containers — Cluster setup, migration, and management on bare metal or self-managed clusters. Helm charts, Git Ops, auto scaling, zero-downtime cut overs, Docker containerization. 🏗 Infrastructure as Code — Terraform and Ansible environments that are version-controlled, auditable, and reproducible across every stage. No more manual config drift. 🐧 Linux Administration & Hardening — Server setup, performance tuning, security hardening, and Bash automation for environments that can't afford downtime. 📊 Monitoring & Observability — Prometheus, Grafana, and centralized logging so failures get caught before your users notice. Tech I work with daily · AWS · Azure · Docker · Terraform · Ansible · GitHub Actions · Git Lab CI · Jenkins · Helm · Prometheus · Grafana · Linux · Bash · Python I respond within 2 hours. Tell me what's breaking, slow, or expensive about your infrastructure and I'll tell you exactly how I'd fix it.

Software Engineer specializing in enterprise data infrastructure and large-scale web automation systems. With 4+ years of engineering experience 🎯 Core Competencies: • Agentic Workflows & AI Automation: Architecting complex, stateful multi-agent systems using LangGraph, CrewAI, and n8n. Designing self-healing loops, autonomous error recovery, and tool-calling validation pipelines with exceptional reliability. • Multimodal AI Vision & Agentic OCR: Implementing cutting-edge visual parsers (LlamaParse, Docling, GPT-4o Vision, Azure AI Document Intelligence) to extract schema-compliant JSON data from visually dense documents, complex tables, and unseen invoice layouts. • Anti-Detection Engineering & AI-Bypass: Bypassing enterprise security barriers (Cloudflare, Akamai, DataDome), TLS/HTTP2 fingerprint matching, and rotating residential proxy routing. • Production-Grade Data Infrastructure: Engineering highly scalable, distributed scraper fleets capable of handling over 10 million daily requests without performance degradation or IP bans. • Enterprise ETL & Integration: Delivering structured data directly to BigQuery, PostgreSQL, AWS S3, Snowflake, and vector databases with real-time anomaly detection. 🛠️ Technical Stack: • AI & Orchestration: LangGraph, CrewAI, AutoGen, LlamaIndex, LangChain, OpenAI/Claude APIs. • Automation & Scraping: Python (Scrapy, AsyncIO), Playwright, Puppeteer Stealth, Selenium Grid, Bright Data Agent Browser. • Data Engineering: Apache Airflow, dbt, Pandas, custom ETL frameworks. • Platforms & Workflow Tooling: n8n, Make .com, Docker, Kubernetes. • Infrastructure & Message Queues: Redis, RabbitMQ, Rotating Residential Proxies. • Databases & Vector Stores: BigQuery, PostgreSQL, MongoDB, AWS S3, Google Cloud Storage, FAISS, Pinecone. 💼 Ideal For: • Enterprise operations seeking to automate repetitive back-office tasks, financial document parsing, or complex manual reviews using AI Vision. • Market intelligence agencies requiring highly reliable, long-term web data harvesting pipelines under strict SLA guarantees. • Product teams building RAG-based systems requiring continuous, high-quality, pre-parsed markdown data feeds from dynamic web sources . • Organizations deploying multi-agent swarms requiring production monitoring, comprehensive logging, and enterprise security.

AI Automation Architect | Claude Agentic Workflows | RevOps Systems Is your CRM acting as an expensive digital filing cabinet while your sales team drowns in manual data entry, messy lead routing, and broken follow-up processes? Most business systems don't fail due to a lack of features they fail due to weak pipeline logic and manual bottlenecks. I build autonomous, production-grade AI systems that bridge elite LLM capabilities with your revenue operations to eliminate system overhead, clean your data, and accelerate your pipeline. As an AI Automation Architect specializing in Anthropic’s Claude and advanced orchestration platforms (n8n / Make), I transform disjointed sales tech stacks into self-healing, automated revenue engines. Unlike basic prompt-engineering generalists, I build deep architectural integrations using the Model Context Protocol (MCP), custom tool-calling agents, and enterprise-grade data pipelines. What I Do For High-Growth Startups & Enterprises - Intelligent Lead Management & Speed-to-Lead: I build Claude-driven workflows that automatically enrich inbound leads (via webhooks, Apollo, or LinkedIn Sales Navigator), score their fit based on your ICP, and draft hyper-personalized response emails directly inside your CRM within seconds. - Post-Call CRM Automation & RevOps Sync: I connect call transcriptions to Claude to automatically extract action items, customer sentiment, objections, and next steps instantly updating custom deal fields and stages inside your CRM without your reps clicking a button. - Custom Claude Infrastructure & MCP Server Deployment: Deep technical setup of developer environments, spec-driven development pipelines, Claude Code CLI agents, and secure, self-hosted autonomous agent panels (OpenClaw) deployed via Docker or private cloud infrastructure. - Advanced CRM Overhauls & Data Sanitization: Cleaning, structuring, and syncing messy pipelines across HubSpot, Salesforce, GoHighLevel, and Pipedrive to restore 100% reporting accuracy and visibility for executives. Why Revenue Leaders Choose My Engineering Approach - Security & Compliance First: I ensure your internal codebases, proprietary company knowledge, and sensitive customer CRM data remain secure, private, and fully compliant. No data leaks. - Production-Ready & Self-Healing: I build utilizing robust error handling, minimal latency architecture, and fail-safe webhooks in n8n. If an API drops, my systems handle the error gracefully without breaking your operational workflow. - A Strategy + Execution Hybrid: I don't just write automation scripts. I analyze your go-to-market strategy, redesign the pipeline logic, deploy the infrastructure, and deliver clean documentation so your system is built to scale. Core Tech Stack & Infrastructure - AI & Autonomous Agents: Claude Code CLI, Anthropic Claude API, Model Context Protocol (MCP), OpenClaw, Custom Multi-Agent Frameworks. - Workflow Orchestration: n8n (Expert complex workflows), Make, Zapier, Custom REST APIs. - RevOps & Business Systems: HubSpot, Salesforce, GoHighLevel, Pipedrive, Slack, Airtable. - Infrastructure & Environments: Docker, GitHub, Webhooks, AWS / Private VPS. If you are ready to turn your CRM into an automated, predictable revenue engine and stop wasting manual hours on administrative friction, let's connect. Click the "Invite to Job" button to discuss your infrastructure and automation needs today.

I help startups and teams ship faster and safer by building automated CI/CD pipelines, containerized deployments, and secure cloud infrastructure. Most teams I work with are losing time to manual deployments, flaky releases, or security gaps they only catch in production. I fix that by: • Building CI/CD pipelines with GitHub Actions that test, scan, and deploy automatically • Setting up GitOps workflows with ArgoCD so every cluster change is version-controlled and auditable • Baking security into the pipeline with Trivy image and dependency scanning (DevSecOps, aligned to ISO 27001) • Provisioning reproducible infrastructure with Terraform on GCP and AWS • Orchestrating workloads on Kubernetes and Docker, with load testing via k6 • Setting up monitoring with Prometheus and the ELK stack What you get: fewer manual steps, faster and more reliable releases, and infrastructure you can trust and reproduce. Core stack: AWS, GCP, Azure, Kubernetes, Docker, Terraform, GitHub Actions, ArgoCD, Trivy, Prometheus, ELK, Python, Bash If you need a reliable DevOps/DevSecOps engineer to automate your deployments or harden your cloud setup, message me with what you're working on and I'll tell you how I'd approach it.

Resilient, observable infrastructure designed to scale with your business. Six years of GCP, Kubernetes, and SRE expertise reducing downtime, cutting cloud costs, and eliminating deployment risk. ● 6+ years of hands-on experience as a DevOps & Cloud Engineer specializing in Google Cloud Platform (GCP), Kubernetes orchestration, and SRE practices. ● Expertise in Infrastructure as Code (IaC) using Terraform and Ansible for automated, scalable, and resilient cloud architectures. ● Strong proficiency in Kubernetes (GKE & EKS), including cluster optimization, autoscaling, service mesh, and workload management. ● Advanced CI/CD automation skills using Jenkins, GitHub Actions, and GitLab CI for zero-downtime deployments. ● Deep Linux systems expertise with advanced shell scripting (Bash) and Python for system hardening and performance optimization. ● Specialized in Observability using Prometheus, Grafana, ELK, and Stackdriver to reduce incidents and monitor SLAs. ● Proven track record in designing secure, HIPAA-compliant, and multi-tenant SaaS infrastructures. KEY RESPONSIBILITIES 1. Cloud Architecture & Infrastructure as Code (IaC) ● Architected and deployed scalable GCP environments using Compute Engine, GKE, Cloud Storage, and VPC. ● Automated end-to-end infrastructure provisioning using Terraform modules for VPC, Cloud NAT, IAM, and Cloud SQL. ● Implemented configuration management via Ansible to ensure environment standardization and reduce operational overhead. 2. Kubernetes Orchestration & Containerization ● Designed and managed GKE-based microservices with node pool optimization and secure service communication. ● Hardened Kubernetes security using RBAC policies, network policies, and private clusters. ● Streamlined application packaging and deployment using Docker and Helm-based charts. 3. CI/CD Pipeline Engineering ● Engineered robust CI/CD pipelines in GitHub Actions, Jenkins, and GitLab CI for container builds and automated testing. ● Implemented advanced deployment strategies, including Canary, Blue-Green, and Rolling updates, improving system uptime by 35%. ● Integrated automated rollback mechanisms and artifact versioning to ensure delivery pipeline reliability. 4. SRE, Monitoring & Observability ● Built comprehensive observability frameworks using Prometheus, Grafana, and Stackdriver for real-time metrics and alerting. ● Integrated SLO-based alerting and error budgets into incident workflows to improve service reliability. ● Optimized system performance by automating failover, pod disruption budgets, and resilient service deployments. 5. Security, Compliance & Networking ● Ensured data protection and compliance (including HIPAA) using KMS encryption, IAM least-privilege, and audit logging. ● Secured cloud networks using VPC Service Controls, ingress/egress firewalls, and IAM conditions. ● Managed identity and access through IAM and RBAC to enforce strict tenant isolation in multi-tenant SaaS platforms. 6. Event-Driven & Serverless Solutions ● Designed high-performance event-driven workflows using Pub/Sub, Cloud Functions, and EventArc, achieving up to 60% latency reduction. ● Integrated Cloud Run for serverless execution and cost-effective scaling of background processes.