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🚀 Available for Freelance DevOps & Cloud Projects
I'm currently looking for challenging freelance opportunities where I can help businesses build secure, scalable, and automated cloud infrastructure.
With 4+ years of experience, I specialize in:
✅ AWS & Azure Cloud Infrastructure
✅ CI/CD Pipeline Automation (Azure DevOps, GitHub Actions, Jenkins)
✅ Infrastructure as Code (Terraform, ARM, CloudFormation)
✅ Container Orchestration (Docker, Azure Container Apps, AWS ECS)
✅ DevSecOps & Security Automation
✅ Monitoring & Incident Management
✅ Cloud Networking, DNS & CDN (Cloudflare, Route53, Azure DNS)
✅ Azure-to-Azure Subscription & Tenant Migration
✅ Python & Bash Automation
I follow a structured delivery approach—from architecture design and Infrastructure as Code to CI/CD implementation, documentation, and post-deployment support—ensuring every solution is production-ready and easy to maintain.
If you're looking for someone to automate deployments, modernize your cloud infrastructure, optimize costs, or solve complex DevOps challenges, I'd love to connect.
📩 Open to Freelance, Contract, and Remote opportunities.
#OpenToWork #Freelance #DevOps #CloudEngineer #AWS #Azure #Terraform #InfrastructureAsCode #IaC #CICD #Docker #CloudInfrastructure #Automation #DevSecOps #CloudMigration #AzureDevOps #GitHubActions #Jenkins #CloudComputing #RemoteWork
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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From one project to a long-term collaboration.
After working together on this SaaS explainer, my client told me they’re looking to build a long-term collaboration and keep bringing more projects from their SaaS clients.
They already have another project coming up next.
For me, this is what good freelance work should lead to:
Good work → trust → repeat collaborations.
Looking forward to what’s next.
Why your 10-person engineering team probably doesn't need Kubernetes: The power of rootless Podman and systemd Quadlets.
The modern tech industry has convinced early-stage founders and engineering teams that to run containerized web services, they must deploy a multi-node Kubernetes cluster.
Here is what happens in practice: You spin up managed Kubernetes (EKS, GKE, or AKS). You immediately burn $300–$800/month just on control plane fees and worker nodes before your first customer signs up. Then comes the operational tax: 35% of node memory is consumed by ingress controllers, CNI overlay networks, and daemonsets. Your developers spend more time debugging Helm charts and ingress routing bugs than writing business features.
On the opposite extreme, teams deploy unmanaged Docker engines running as root, using fragile ``docker-compose`` scripts that fail to restart cleanly after host reboots.
There is a battle-tested, high-performance sweet spot: **Rootless Podman managed natively by systemd Quadlets**.
• Native Linux Supervision: Declarative ``.container`` and ``.network`` Quadlet files let systemd supervise your containers natively. You get automated restarts, dependency ordering, watchdog probes, and structured journald logging out of the box. • Zero Control Plane Overhead: No etcd consensus cluster, no heavy daemon eating RAM. If your containers need 2GB of memory, they use 2GB—not 8GB. • Rootless Security by Default: Containers run inside unprivileged user namespaces with strict SELinux volume isolation (``:z``/``:Z``). Even if an attacker breaks out of the container process, they possess zero root privileges on the underlying host. • Instant Portability: Standard OCI container images. If you ever genuinely scale to the point where multi-datacenter orchestration is necessary, your containers migrate cleanly.
Stop paying a 40% complexity tax for infrastructure you don't need.
Harden your container platform with our 2-week Hardened Linux & Container Infrastructure Sprint on Contra: https://contra.com/s/Xbg7ALqN-hardened-linux-and-container-infrastructure
#Docker #Kubernetes #Infrastructure #Architecture #Linux #DevOps #SRE #Performance
Podman + Quadlets is such an underrated story for small teams — you get container workflows without paying the operational tax of k8s before you have a k8s problem.
🚀 Excited to share my latest project: Connectify! 🎉
I’ve developed a social media application that offers posting socila media images to an online cloud platform known as cloudinary and also real-time features like typing indicators and message seen statuses by Socket programming.
The application is built on the MERN stack (MongoDB, Express.js, React.js, Node.js), providing seamless functionality and scalability.
I have used MongoDB to efficiently store user data, posts, and chat messages with other user, ensuring seamless data management and retrieval for the application
For the media upload functionality, I utilized the Multer package for file handling and integrated Cloudinary to store and manage images efficiently in the cloud.
Building this project was a great opportunity to deepen my skills in backend development, real-time communication using socket programming, and cloud integration. 💡
#MERNStack #SocketIO #SocialMediaApp
