Remote New

Principal DevOps Engineer - Core Network & Data Center Automation

NOKIA
$202-883-$376,783 *Plus, eligible for incentives/variable pay.
United States
Oct 28, 2025
As a Principal DevOps Engineer, you will serve as both a technical authority and strategic thought leader, responsible for architecting end-to-end MLOps frameworks that enable real-time, closed-loop automation, predictive maintenance, anomaly detection, network optimization, and intelligent orchestration of 4G/5G core components. You will bridge the gap between data science, software engineering, DevOps, and telecom domain expertise, creating the robust systems needed to transition from traditional reactive operations to AI-native, self-optimizing networks (SON). You will collaborate closely with network architects, data scientists, DevOps teams, and cloud/edge infrastructure engineers to ensure ML models are not only accurate but also scalable, explainable, observable, and production-ready - capable of running on-premises, in the cloud, and at the mobile edge. Architect and implement scalable and automated CI/CD pipelines to streamline application deployment and infrastructure provisioning. Optimize system reliability and uptime through proactive capacity planning, fault tolerance, and performance tuning. Design and deploy infrastructure using IaC tools such as Terraform, Crossplane, and Ansible to ensure consistency, scalability, and compliance. 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. Design cloud infrastructure solutions with a focus on storage, security, and network management, ensuring optimal performance and compliance. Lead the design and deployment of resilient DataCenter clusters, ensuring scalability, fault tolerance, and optimal resource utilization. Provide architectural leadership for 4G/5G packet core network functions, ensuring seamless integration with Data Center infrastructure. You have: Bachelor's or master's degree in computer science, Electrical Engineering, Telecommunications, or related field. 12+ years of experience in software engineering or DevOps, with 3+ years focused on MLOps. Strong expertise in machine learning platforms (e.g., MLflow, TFX, SageMaker, Vertex AI). Deep understanding of 5G architecture and protocols, including RAN, core, and MEC. 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. About Nokia Join us in creating the technology that helps the world act together. We are a B2B technology innovation leader, pioneering networks that sense, think and act, putting the world's people, machines and devices in sync to create a more sustainable, productive and accessible future. Learn more about life at Nokia. About the Business Group In Cloud and Network Services, as Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible. Our recruitment process We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. If you're interested in this role but don't meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity. The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.