Remote Infrastructure & SRE Engineer: Cloud, Kubernetes, CI/CD

Inviso

United States

Remote

USD 140,000 - 210,000

Full time

19 hours ago
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Job summary

Inviso is partnering with a client to hire an experienced Backend / Platform Engineer for a fully remote, permanent position. The engineer will design, build, and operate cloud infrastructure and reliability capabilities to enable platform teams to ship safely and consistently.

The role emphasizes landing zones, IaC, Kubernetes, CI/CD, observability, incident response, and cost optimization. The ideal candidate is hands-on, automation-minded, calm under pressure, and capable of owning systems in

Qualifications

  • Production cloud infrastructure experience with reliability ownership.
  • Infrastructure-as-code, landing zones, networking, identity, security, and environment management.
  • Kubernetes, containerized workloads, CI/CD pipelines, and automated deployment practices.
  • Observability using metrics, logs, traces, dashboards, alerting, and actionable operational signals.
  • Define or support SLOs, reliability practices, incident response, postmortems, and on-call operations.

Responsibilities

  • Design, build, and operate cloud infrastructure and platform reliability.
  • Ensure repeatable, scalable systems that reduce toil and improve delivery speed.
  • Collaborate with client teams to ship safely into complex environments.

Skills

Production cloud infra
Infrastructure as code
Kubernetes
CI/CD pipelines
Observability
Automation scripting
SRE incident response
Cost optimization

Tools

Azure
Terraform
Bicep
GitHub Actions
Azure DevOps
Azure Arc

Job description

Inviso is partnering with a client to hire an experienced Backend / Platform Engineer for a fully remote, permanent position. The engineer will design, build, and operate cloud infrastructure and reliability capabilities to enable platform teams to ship safely and consistently.

The role emphasizes landing zones, IaC, Kubernetes, CI/CD, observability, incident response, and cost optimization. The ideal candidate is hands-on, automation-minded, calm under pressure, and capable of owning systems in

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