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 for transitioning from traditional reactive operations to AI-native, self-optimizing networks (SON).
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
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.
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.
- Design cloud infrastructure solutions focusing on storage, security, and network management.
- Lead the design and deployment of resilient Data Center clusters.
Key Skills and Experience:
- 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).
Preferred Qualifications:
- Knowledge of AI/ML use cases in telecom such as traffic forecasting, anomaly detection, and beamforming optimization.
- Contributions to open-source Machine Learning Operations tools or telecom frameworks.
Work Conditions:
- Flexible and hybrid working schemes.
- A minimum of 90 days of Maternity and Paternity Leave.
- Life insurance coverage.
- Well-being programs to support mental and physical health.
- Opportunities for personalized career and skills development.
Language Requirements:
- Proficiency in English is typically expected.
About Us:
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, aiming for a more sustainable, productive, and accessible future. We celebrate diversity and are committed to an inclusive workplace, where unique backgrounds and perspectives enrich our teams. If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply.
