Senior DevOps Engineer - Core Network And Data Center Automation

Job Description

As a Senior 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.

How You Will Contribute And What You Will Learn

• 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 Data Center 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.
  
  

Key Skills And Experience

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 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 Us

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 Nokias 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 roles requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia .

About The Team

Some of our benefits:

• Flexible and hybrid working schemes
• A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
• Life insurance to all employees to provide peace of mind and financial security
• Well-being programs to support your mental and physical health
• Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
• Employee Growth Solutions to support your personalized career & skills development
• Diverse pool of Coaches & Mentors to whom you have easy access
• A learning environment which promotes personal growth and professional development - for your role and beyond

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