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 robust systems needed to transition from traditional reactive operations to AI-native, self-optimizing networks (SON).
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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.
Location: Um Ghafah, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: Full-time
Key Responsibilities:
- 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.
- Implement GitOps principles for version-controlled infrastructure and automated rollbacks.
- Architect and manage Kubernetes-based container orchestration platforms, including OpenShift Container Platform (OCP).
- Design cloud infrastructure solutions focusing on storage, security, and network management.
Key Skills and Experience:
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, Telecommunications, or a 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).
- Deep understanding of 5G architecture and protocols, including RAN, core, and MEC.
- Proficiency with containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform, Helm).
Preferred Qualifications:
- Knowledge of AI/ML use cases in telecom such as traffic forecasting and anomaly detection.
- Contributions to open-source Machine Learning Operations tools or telecom frameworks.
Additional Information:
Nokia promotes a culture of inclusion, respecting the uniqueness of individuals and fostering diversity in recruitment. We encourage candidates who are interested in this role, even if they do not meet every listed requirement, to apply.
