5G Network Engineer

Role Summary This senior-level role focuses on 5G network engineering, application modernization, and artificial intelligence/machine learning integration within telecommunications infrastructure. The position involves transforming legacy applications into scalable, cloud-native platforms and leveraging AI/ML models to optimize network performance. It requires collaboration with network engineering and IT teams to drive automation, efficiency, and innovative solutions supporting next-generation services.

Responsibilities

• Modernize and re-architect legacy telecom applications into scalable, cloud-native, Java-based platforms.
• Apply AI/ML models to enhance 5G network performance, capacity planning, and fault management.
• Identify and implement efficiency improvements across the entire 5G ecosystem, including RAN, Core, Transport, and Edge.
• Partner with network engineering and IT teams to develop and deploy intelligent automation and AIOps solutions.
• Develop high-performance Java applications supporting real-time telecom workloads.
• Analyze large-scale network data to provide actionable insights, reduce latency, and optimize costs.
• Support innovation initiatives, proof-of-concept projects, and pilots associated with 5G monetization and operational excellence.
• Collaborate on the deployment of network automation, orchestration, and observability platforms.
• Conduct performance analysis and optimization for applications and network components.
• Drive measurable improvements in network latency, operational costs, application resiliency, and automation levels.

Qualifications

• Recent PhD or Master’s graduates in Computer Science, Electrical Engineering, Telecommunications, or related fields (2025/2026).
• Experience with 5G architectures, including RAN, Core, Edge, and open RAN exposure is a plus.
• Development background in Java and familiarity with modern application frameworks.
• Hands-on experience with AI/ML frameworks such as TensorFlow or PyTorch.
• Proven expertise in application transformation and performance optimization.
• Strong understanding of telecom service provider environments.
• Experience working with cloud platforms, CI/CD pipelines, Python, and related technologies.
• Knowledge of network automation, orchestration, and observability platforms is preferred.
• Familiarity with Kubernetes, microservices, and hybrid cloud architectures is advantageous.
• Ability to deliver measurable improvements in network performance and operational efficiency.

Publishing Pay Range: $50.00 – $55.00 Hourly

This position is based in office and requires employee to work on-site.