Senior Staff RAN Operations Engineer - NTN/IoT

Senior Staff RAN Operations Engineer - NTN/IoT

Skylo Technologies

Espoo, Finland

Skylo is hiring a Sr. Staff RAN Operations Engineer to help fulfill Skylo’s mission of making satellite connectivity available to all. As the production authority for RAN health and performance across Skylo’s NTN network, you will evolve our Network Operations from reactive monitoring to service-centric assurance. This is a live-network, SLA-protecting role focused on defining RAN KPIs, leading production optimization, and acting as the Level-3 authority during customer impacting incidents.

How You Will Contribute

• RAN KPI Ownership: Define and refine service-aligned RAN KPIs (Attach success, RRC behavior, RF integrity) to ensure actionable detection for L2 teams.
• Production Optimization: Lead parameter tuning and beam-level performance improvements for the live NTN RAN, ensuring safe execution via Change Management.
• AI/ML Integration: Apply Machine Learning models to the operation and optimization of the wireless network to drive predictive maintenance and automated performance tuning.
• NTN Performance Engineering: Manage unique satellite physics, including Doppler compensation and large propagation delays, to optimize 3GPP timers and HARQ processes.
• Level 3 Technical Support: Serve as the final escalation point for production incidents, performing deep root cause analysis using eNodeB/gNodeB logs and RF telemetry.
• NetOps Enablement: Translate complex RAN behaviors into operational runbooks and mentor L2 engineers on pattern recognition and degradation indicators.
• Operational Standards: Author and maintain MOPs (Methods of Procedure) and RAN operational standards for cloud-native base stations.

What We Look For

• Education: Master’s or PhD-level degree (or equivalent professional experience) in Electrical Engineering, Telecommunications, or Computer Science.
• Experience: 12+ years in RAN engineering and operations, specifically with LTE/5G (3GPP) and live production networks.
• Advanced Analytics: Proven experience with the application of Machine Learning to the operation and optimization of wireless telecom networks.
• NTN Expertise: Deep knowledge of satellite-specific challenges, including link budget sensitivity and timing/synchronization (GNSS/Octoclock).
• Cloud-Native Proficiency: Experience with containerized RAN (Kubernetes/Docker) and modern observability stacks (Prometheus, Grafana, or ELK).
• Systems & Tools: Proficiency in Linux, Cloud platforms (GCP preferred), and RAN protocol analysis tools.
• Global Collaboration: Proven ability to work across time zones (Silicon Valley, Nordic, and South Asia) to maintain 24/7 network integrity.