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I will set up kubernetes deployment with cicd pipeline
Senior Backend Engineer
I am a Senior Backend Engineer specializing in AI Engineering, LLM agent orchestration, and large-scale microservices. I have extensive experience building intelligent transportation systems and AI-na...
About this Gig
I will containerize your application with Docker and deploy it to a production-ready Kubernetes cluster with a fully automated CI/CD pipeline.
With 4+ years as a Senior Backend Engineer at Viettel Group, I've deployed Kubernetes clusters running mission-critical systems handling millions of events daily with 99.9% uptime.
I hold a CKAD (Certified Kubernetes Application Developer) certification and AWS Cloud Practitioner certification, so you can trust that your infrastructure follows industry best practices.
What you'll get:
Optimized Dockerfile with multi-stage builds
K8s manifests (Deployment, Service, Ingress, ConfigMap, Secrets)
Helm charts with environment-specific values (dev/staging/prod)
CI/CD pipeline (Jenkins/GitLab CI/GitHub Actions)
Nginx Ingress with SSL via cert-manager
Prometheus + Grafana monitoring with dashboards
Full documentation and architecture diagram
Why me:
CKAD Certified by CNCF
Production experience with real high-traffic systems
Clear daily communication, no surprises
7-day post-delivery support included
Send me your project details for a tailored deployment plan within 24 hours.
Tools:
GitLab
•
GitHub
Frameworks:
Ansible
Programming language:
Other
Expertise:
Installation
•
Configuration
FAQ
Which CI/CD tool do you use?
Jenkins, GitLab CI, or GitHub Actions — whichever fits your team's workflow. I'll recommend the best option based on your existing tools and repository platform.
Will deployments cause downtime?
No. I configure rolling update strategy and health checks so new versions deploy gradually with zero downtime. Automatic rollback triggers if the new version fails health checks.
Can you set up multiple environments?
Yes. I create separate Helm values for dev, staging, and production. Each environment is isolated with its own namespace, secrets, and resource limits on the same cluster.
What if I don't have a Kubernetes cluster yet?
No problem. I'll provision the cluster from scratch — on cloud or on-premise servers.
What cloud providers do you support?
AWS (EKS), GCP (GKE), Azure (AKS), or any on-premise server with kubeadm/k3s. I'll recommend the best option based on your budget and requirements.
