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DevOps & Cloud Platform Engineer

1 hour ago 2026/11/19 ·Application closes in 119 days
Remote
Other Business Support Services
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Job description

You're probably not looking for another DevOps job.
You're looking for an opportunity to build the platform that everything else depends on.
At NIVA Health, we're building AI-powered healthcare solutions, automation platforms and cloud-native applications that improve how healthcare is delivered.
Now we're looking for the engineer who will make all of it reliable, scalable and production-ready.
If you enjoy building infrastructure instead of firefighting it, keep reading.
Here's what you'll be building You'll own the cloud platform behind our engineering and AI ecosystem.
That means designing CI/CD pipelines, automating deployments, improving security, managing Kubernetes environments, building Infrastructure as Code, and making sure our engineers can deploy with confidence.
You'll work closely with our AI Architect and Engineering team to create an environment where great software can move from idea to production quickly and safely.
You'll probably enjoy this role if you: You automate everything you can.
You believe infrastructure should be repeatable, secure and scalable.
You enjoy solving reliability problems before they happen.
You love cloud architecture and modern DevOps practices.
You enjoy enabling developers rather than slowing them down.
You like building platforms that people trust.
We'd love to talk if you have experience with: Google Cloud Platform (preferred) Kubernetes Docker Terraform GitHub Actions CI/CD pipelines Infrastructure as Code Cloud Run Networking & Security Monitoring & Observability Python or Bash scripting Why NIVA?
You'll join a small engineering team where you'll build the cloud platform that supports everything we create—from AI systems to internal healthcare applications.
This isn't a maintenance role.
You'll help shape how engineering operates for years to come.
This job post has been translated by AI and may contain minor differences or errors.
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