Hire the Best OpenProject Specialists

Your server's down at 3am. Your cloud bill doubled. Deploys are a Friday nightmare. I fix exactly this — fast, with a rollback plan for every change. Results from 49 completed projects (100% Job Success): - 99.9% uptime — real monitoring with Prometheus, Grafana, and structured alerting - 30-60% faster page loads — Nginx/Apache tuning, CDN, TLS hardening, HTTP/2 - 20-35% lower cloud costs — right-sizing, autoscaling, lifecycle policies, FinOps - Deploys in minutes — Docker, Kubernetes, GitOps (ArgoCD/Flux), GitHub Actions, GitLab CI What I do: - Infrastructure & Containers: Linux, Docker, Kubernetes, Helm, Terraform, Ansible - Cloud: AWS, GCP, Azure - CI/CD: GitHub Actions, GitLab CI, ArgoCD, blue-green/canary deploys - Monitoring: Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch - Security: Vault, SBOM/SLSA, Zero Trust, WireGuard/OpenVPN - Scripting: Bash, Python, Go, PowerShell How I start: 1. Quick audit (30-60 min) — what's running, what's breaking, what costs money for no reason 2. Prioritized action plan — what to fix now, what can wait, rollback strategy for every change 3. Early wins in 48 hours — faster response, fewer alerts, lower bill, working backups I don't do "two weeks of discovery." I dig in, find the worst problems, fix them fast. Tell me what's hurting — I'll be straight about whether I can help and what it takes.

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.

I help companies deploy, upgrade, automate, and troubleshoot OpenStack, Kubernetes, and Ceph environments. With 10+ years of experience in cloud infrastructure, Linux administration, and automation, I have worked with global organizations including Rackspace, Ericsson, Red Hat, Nokia, and telecom/cloud service providers supporting large-scale production environments. I specialize in designing reliable, scalable, and production-ready cloud platforms while solving complex infrastructure challenges across compute, networking, storage, and automation layers. ## What I Can Help You With ✅ OpenStack deployment, upgrades, migrations, and troubleshooting ✅ Kolla-Ansible, RHOSP, TripleO, CloudBand, and private cloud implementations ✅ Ceph storage deployment, integration, optimization, and troubleshooting ✅ Kubernetes and OpenShift deployments on OpenStack ✅ Infrastructure automation using Terraform, Ansible, Python, and GitLab CI/CD ✅ Bare Metal provisioning with Ironic and OpenStack ✅ Linux administration, performance tuning, and production support ✅ Cloud migrations and disaster recovery planning ## Recent Project Highlights ✔ Automated inter-cloud and inter-tenant VM migrations using Python OpenStack SDK ✔ Built HA OpenStack and Ceph environments using Terraform and Ansible ✔ Managed and supported enterprise OpenStack platforms for telecom and cloud providers ✔ Deployed Kubernetes clusters integrated with OpenStack networking and load balancing ✔ Performed OpenStack upgrades, patching, and production troubleshooting for mission-critical environments ✔ Designed CI/CD pipelines to automate infrastructure deployment and operational workflows ✔ Integrated Ceph storage with OpenStack for highly available cloud platforms ## Technology Stack OpenStack • Ceph • Kubernetes • OpenShift • Kolla-Ansible • TripleO • RHOSP • Ironic • Terraform • Ansible • Python • Bash • Docker • GitLab CI • Jenkins • Prometheus • Grafana • ELK • Linux • KVM • Proxmox ## Why Clients Hire Me 🔹 Strong production troubleshooting expertise 🔹 Deep understanding of OpenStack internals and cloud architecture 🔹 Automation-first approach that reduces operational overhead 🔹 Experience supporting enterprise and telecom-scale deployments 🔹 Focus on clean, documented, and maintainable solutions Whether you need an OpenStack cloud deployed from scratch, assistance with a Ceph storage issue, Kubernetes integration, infrastructure automation, or help resolving a critical production incident, I can quickly contribute and deliver results.

As a DevOps & Quality Assurance Engineer, I help businesses build reliable, scalable, and production-ready software systems with faster deployments, stable infrastructure, and high-quality releases. With 5+ years of experience in DevOps and 4+ years in Software Quality Assurance, I specialize in automating infrastructure, optimizing CI/CD pipelines, and ensuring software quality through disciplined testing and automation. I work with startups, SaaS platforms, healthcare systems, live-streaming applications, and cloud-based products to improve deployment speed, reduce downtime, eliminate manual errors, and deliver stable user experiences. 🚀 DevOps Services • CI/CD Pipeline Setup & Automation (GitHub Actions, Jenkins, GitLab CI/CD, Azure DevOps) • Cloud Infrastructure Management (AWS, Azure, GCP) • Docker & Kubernetes Containerization • Infrastructure as Code (Terraform, Ansible) • Deployment Automation & Environment Management • Monitoring & Logging (Prometheus, Grafana, ELK Stack, CloudWatch) • DevSecOps & Security Hardening • Backup, Disaster Recovery & High Availability • Cloud Cost & Performance Optimization 🧪 QA & Testing Services • Manual Testing (Functional, Regression, Smoke, UAT, Exploratory) • Automation Testing (Playwright, Selenium) • API Testing using Postman • UI/UX Testing with detail-oriented validation • Cross-browser & Cross-platform Testing • Bug Reporting & Test Documentation • Alpha & Beta Testing • Embedded Systems & Hardware-Software Integration Testing • Release Validation & Production Readiness Testing ⚙️ Technical Expertise ☁️ Cloud & DevOps AWS (EC2, S3, IAM, VPC, ECS, Lambda, CloudWatch) Azure (VMs, AKS, VNets, ACR, Azure Storage) 🔁 CI/CD & Automation GitHub Actions • Jenkins • GitLab CI/CD • Azure DevOps 🧱 Infrastructure as Code Terraform • Ansible • CloudFormation 📊 Monitoring & Observability Prometheus • Grafana • ELK Stack • CloudWatch 🧪 QA & Testing Tools Playwright • Selenium • Postman • Jira • TestRail • Kiwi TCMS ✅ Why Clients Work With Me ✔ Strong expertise in both DevOps & QA ✔ Automation-focused mindset ✔ Experience with high-scale & high-risk systems ✔ Detail-oriented testing and infrastructure reliability ✔ Clear communication and on-time delivery ✔ Focus on long-term scalability, stability, and quality I believe successful software is not just built it is automated, tested, secured, and continuously improved. If you're looking for someone who can improve both your infrastructure and software quality, let’s discuss your project. Best Regards, Saad Salman

I deploy, secure, and manage cloud infrastructure for software teams that need their applications to stay online, scale seamlessly, and perform under pressure. My work covers the entire deployment lifecycle, from writing an optimized Dockerfile to running a containerized application in production behind HTTPS, powered by a CI/CD pipeline that makes every subsequent deployment entirely automatic. Cloud Infrastructure & CI/CD I design and deploy robust AWS environments built around EC2, VPC, S3, IAM, and Route 53, hardened with least-privilege access policies, precise security groups, and actionable monitoring that alerts on things that actually matter. I build zero-downtime CI/CD pipelines using GitHub Actions, Docker, and Terraform so your code moves from a commit to production seamlessly. I also manage Azure DevOps pipelines and ARM templates for teams in the Microsoft ecosystem. Currently, I am expanding my orchestration capabilities by integrating Docker Compose for multi-container environments and architecting Kubernetes clusters for highly scalable production systems. Linux System Administration & Security On the server side, I handle Ubuntu and Debian hardening, UFW firewall configuration, automated SSL/TLS provisioning via Caddy and Let's Encrypt, scheduled backups, log rotation, and Tailscale mesh networking for secure remote team access. I self-host all my internal tooling, meaning when something breaks in a client’s environment, I have usually debugged the same category of failure on my own infrastructure first. Recent Deployments & Architecture I specialize in decoupling architectures and automating the deployment of complex full-stack applications: • SharpPay (Fintech Platform): Deployed a scalable architecture with a React frontend hosted on Vercel, a PostgreSQL database on NeonDB, and a Spring Boot REST API backend. I built a fully automated pipeline via GitHub Actions that builds and pushes Docker images to AWS ECR, triggering a secure deployment script on the server to update the application without any manual SSH intervention. • Chill Clips (Streaming Platform): Deployed a full Netflix-style streaming app (React, Java Spring Boot, MongoDB). Containerized with Docker, deployed on a Contabo VPS, and routed through a Dockerized Caddy reverse proxy. The CI/CD pipeline builds the image on every push, tags it, pushes it to AWS ECR, and automatically pulls and restarts the container on the VPS in under two minutes. Application Deployment & Developer Support Because I also understand rapid full-stack development, I know exactly what development teams need from their infrastructure. I have successfully deployed production-ready web apps, including real-time synced POS systems, e-commerce stores with payment gateways (Paystack), and multi-vendor marketplaces like KlipNaija. I bridge the gap between development and operations, ensuring your infrastructure effortlessly supports your code. How I Work Before I hand anything off, you will receive clear, comprehensive documentation explaining what was built, how it functions, and runbooks for troubleshooting. I have inherited enough undocumented systems to know the frustration it causes, and I never pass that problem onto my clients. I am available for more than 30 hours a week. If your situation is urgent, say so upfront, and I will treat it that way. If your problem involves deploying scalable infrastructure, migrating to the cloud, building automated CI/CD pipelines, or securing your servers, send me a message and let's get it solved.

I build infrastructure that stays up when it matters. Government platforms for 2M+ citizens, banking systems for 1M+ users, and AI rendering stacks on GPU Kubernetes clusters. Shipped on time, documented for the team that inherits it. 5+ years owning the full stack: physical hardware, hypervisors, Kubernetes, service mesh, cloud networking, CI/CD, observability, and GPU AI workloads. Across government, fintech, SaaS, and deep-tech startups. Government Scale — OpenG2P Ethiopia, 3 Ministries Leading platform engineering for Ethiopia's national OpenG2P welfare system across ATI, MoWSA, and EDRMC. Serving 2M+ beneficiaries on RKE2 with Rancher, Istio mTLS, Keycloak SSO, WireGuard site-to-site VPN, XCP-ng hypervisor with Hardware RAID 1+0, and a full Prometheus + Grafana + Alertmanager + Loki observability stack. Currently executing a large-scale ODK to OpenG2P data migration with schema mapping, validation pipelines, audit trails, and phased rollback. AWS Serverless Architecture — WeTruck Architect and operator of WeTruck's serverless logistics platform. CloudFront to ALB to WAF (deny-by-default with Telebirr payment gateway IP whitelisting) to Lambda (FastAPI via Mangum). Fully Terraformed infrastructure. GitHub Actions with OIDC federation (zero long-lived credentials), RDS PostgreSQL, DynamoDB for JWT token store, SQS with dead-letter queue, Secrets Manager, AWS Amplify for three Next.js frontends (back-office, transporter, shipper), and Route 53 private/public DNS. I own production incidents end-to-end and authored the full deployment runbook and troubleshooting playbook. AWS in daily use: Lambda, EC2, EKS, CloudFront, ALB, WAF, RDS, DynamoDB, SQS, Secrets Manager, Amplify, ECR, Route 53, IAM OIDC, VPC (private subnets, NAT Gateway, VPC endpoints), CloudWatch, ACM. MPLS and AI Rendering Infrastructure — MetaPlux (Tech Lead) Tech Lead on a distributed GPU-aware AI rendering platform. MPLS networks for deterministic, low-latency routing across distributed rendering nodes with label-switched paths and traffic engineering for QoS-sensitive GPU workload traffic. BGP and OSPF routing across hybrid environments connecting on-premises GPU clusters to cloud egress points. WireGuard VPN tunnels for secure, auditable connectivity. Multi-cloud strategy across AWS and Azure for rendering workload distribution. Platform architecture for GPU-aware Kubernetes scheduling and job orchestration. This role sits at the intersection of deep networking and modern cloud infrastructure, the combination most DevOps engineers don't have. AI and GPU Infrastructure — Exponent.ch (Switzerland) Provisioned and managed NVIDIA GPU-enabled RKE2 clusters running AI and automation workloads: n8n, Langfuse LLM observability, LibreChat, and ClickHouse analytics. Standardized Helm deployments across 5+ environments using shared-stacks architecture. Integrated Teleport for zero-trust cluster access, automated secrets via Lade and 1Password. Prometheus + Grafana + Mimir observability with 99.9% metric coverage, 60% MTTR reduction, and 3 critical outages prevented through proactive alerting. Banking Infrastructure — 6 Ethiopian Banks, 1M+ Users Delivered high-availability mobile banking and USSD platforms for Siinqee Bank, Hijra Bank, Wegagen Bank, and others with 99.95% uptime across 1M+ users. Designed MPLS network architecture for multi-branch WAN connectivity with QoS for transaction data. Built Jenkins CI/CD for Maven Java apps (4 hours to 15 minutes). ELK processing 10TB+ daily logs. Proxmox and AWS hybrid cloud with ~35% cost reduction. Full Technical Stack Container Orchestration: Kubernetes (RKE2, EKS, K3s), Docker, Helm, Rancher, OpenShift Infrastructure as Code: Terraform, Terragrunt, Ansible, OpenTofu CI/CD: GitHub Actions, GitLab CI, Jenkins Cloud: AWS (full suite), Azure, OpenStack Networking: MPLS, BGP, OSPF, WireGuard, HAProxy, NGINX, VLAN, VPC design Service Mesh: Istio (mTLS, traffic policies, ingress) Observability: Prometheus, Grafana, Mimir, Alertmanager, Loki, OpenTelemetry, ELK, Zabbix, SigNoz Security and Identity: Keycloak, HashiCorp Vault, Teleport, IAM OIDC Virtualization: Proxmox, XCP-ng, VMware AI and Automation: NVIDIA GPU Kubernetes, YOLO, ONNX, TensorRT, n8n, Langfuse, LibreChat, ClickHouse Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, DynamoDB Backend: Python (FastAPI), Bash, Node.js How I work I overcommunicate early, give realistic timelines, and ship verified, not "it should work." I treat testing as the real deliverable, not a checkbox. If something is out of scope or a bad idea, I'll tell you before you spend money on it. Message me if you need: - AWS or Kubernetes infrastructure built or fixed - CI/CD pipelines developers actually trust - GPU and AI infrastructure with inference pipelines and observability - Migration from cloud to cloud, or on-prem to production cloud - MPLS, BGP, or complex network architecture across hybrid environments - Observability that catches problems before users do