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Senior DevOps Engineer

NOKIA
$126,365-$207,600,366 Plus eligible for incentives/variable pay
United States, California, Sunnyvale
520 Almanor Avenue (Show on map)
Mar 17, 2026

As a Senior DevOps Engineer, you will serve as both a technical authority and strategic thought leader, responsible to lead the design, deployment, and monitoring of resilient Datacenter clusters within our advanced Telecom Mobility Core Network.


  • Architect and implement scalable and automated CI/CD pipelines to streamline application deployment and infrastructure provisioning.
  • Develop and maintain robust monitoring and alerting systems to ensure high availability and performance of DataCenter clusters.
  • Lead incident response and root cause analysis, creating detailed runbooks for efficient troubleshooting and resolution.
  • Optimize system reliability and uptime through proactive capacity planning, fault tolerance, and performance tuning.
  • Infrastructure as Code (IaC) & Automation

  • Design and deploy infrastructure using IaC tools such as Terraform, Crossplane, and Ansible to ensure consistency, scalability, and compliance.

  • Automate provisioning, configuration management, and orchestration of DataCenter clusters across hybrid cloud environments.
  • Implement GitOps principles for version-controlled infrastructure and automated rollbacks to ensure auditable and secure deployments.
  • Architect and manage Kubernetes-based container orchestration platforms, including OpenShift Container Platform (OCP), to support scalable and secure workloads.

You have:

  • Bachelor's or master's degree in computer science, Electrical Engineering, Telecommunications, or related field.
  • 10+ years of experience in software engineering or DevOps, with 3+ years focused on Infrastructure as Code (IaC) & Automation.
  • Strong expertise in Kubernetes (K8s) & Cloud Infrastructure Management.
  • Deep understanding of DataCenter Cluster Design & Monitoring.
  • Proficiency with containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform, Helm).

It would be nice if you also had:

  • Knowledge of AI/ML use cases in telecom such as traffic forecasting, anomaly detection, beamforming optimization, etc.
  • Contributions to open-source Machine Learning Operations tools or telecom frameworks.

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