Senior DevOps & Cloud Platform Engineer - Remote

N-iX; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible work format

Competitive salary

Mentorship program

Tech talks & trainings

Job summary

N-iX is seeking an experienced DevOps Engineer to redefine how business intelligence is handled. You will build and maintain cloud infrastructure across AWS, Azure, GCP, and OVH, manage Kubernetes clusters with ArgoCD, and optimize CI/CD pipelines.

You’ll work closely with development, QA, and product teams in a remote-friendly environment. The role emphasizes automation, security, and observability, with opportunities to apply AI-driven efficiency improvements and support internal tooling and

Qualifications

• 5+ years in DevOps, SRE, or infrastructure engineering.
• Strong Linux administration and virtualization experience.
• Hands-on Kubernetes across clouds (EKS/AKS/GKE).

Responsibilities

• Provision and manage test and development environments.
• Design site-to-site connectivity across AWS, Azure, GCP, OVH.
• Build and deploy infrastructure across cloud providers.
• Design, implement and manage Kubernetes clusters with ArgoCD.
• Maintain internal tools and PostgreSQL databases backing services.
• Improve CI/CD pipelines and automate deployments.
• Manage infrastructure as code with Terraform.
• Monitor Grafana stack and troubleshoot performance issues.
• Support SSO integrations and security best practices.
• Collaborate with development, QA, and product teams.

Skills

5+ years DevOps

Linux administration

Kubernetes

Python or Go

CI/CD pipelines

Networking fundamentals

Education

BA/BS in a technical field

Tools

Terraform

Docker

GitHub Actions

Proxmox virtualization

Grafana/Prometheus

Job description

N-iX is seeking an experienced DevOps Engineer to redefine how business intelligence is handled. You will build and maintain cloud infrastructure across AWS, Azure, GCP, and OVH, manage Kubernetes clusters with ArgoCD, and optimize CI/CD pipelines.

You’ll work closely with development, QA, and product teams in a remote-friendly environment. The role emphasizes automation, security, and observability, with opportunities to apply AI-driven efficiency improvements and support internal tooling and