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I will do devops, AWS cloud, docker, kubernetes and mlops deployment
DevOps Engineer AWS GCP Azure Kubernetes Terraform CICD Automation
DevOps Engineer with 4+ years of experience automating and securing cloud infrastructure for international clients — fintech, ride-hailing, and SaaS platforms. I build CI/CD pipelines (GitHub Actions,...
About this Gig
Your app deserves infrastructure that deploys itself, scales itself, and tells you when something is wrong.
I'm a DevOps engineer with 4+ years of experience running production systems for fintech, ride-hailing, and SaaS platforms. I'll set up the automation so you can ship features instead of fighting servers.
WHAT I DELIVER
Docker: clean multi-stage images, docker-compose setups
CI/CD: GitHub Actions, GitLab CI, or Jenkins build, test, deploy on every push
Kubernetes: production-grade deployments with Helm, autoscaling, zero-downtime rolling updates
Cloud: AWS, GCP, Azure or any VPS provisioned as code with Terraform/Ansible
Monitoring: Prometheus + Grafana dashboards and alerts that catch issues before your users do
Security: image scanning, SSL, firewalls, least-privilege access built in, not bolted on
MLOps/AIOps: deploy and serve ML models, automate training/deployment workflows
WHY ME
Real production experience zero-downtime releases, 75% fewer provisioning errors, ~30% cloud cost savings for past clients
Clear communication, US-hours availability
Message me before ordering so we can scope your project properly.
My Portfolio
FAQ
What do you need from me to start?
Access to your code repository, your target server or cloud account (or I'll help you create one), and a short description of what "done" looks like for you. I'll send a checklist after you message me.
Can you work with my existing setup, or only new projects?
Both. I regularly take over existing servers and pipelines — I'll audit what's there first and tell you what I recommend before changing anything.
Which cloud providers do you support?
AWS, GCP, and Azure, plus any VPS provider (Hetzner, DigitalOcean, Contabo, etc.). If it runs Linux, I can work with it.
Do you offer support after delivery?
Every package includes a documentation handover. For ongoing support, add the 30-day support extra or message me about a monthly retainer.
What does the MLOps service cover?
Deploying and serving trained ML models (Docker/Kubernetes/cloud), automating your training-to-deployment workflow, and setting up monitoring for model services. I handle the infrastructure side; I don't build the models themselves.
