5G Network Engineer
Job ID: 113479
Location: Bedminster, New Jersey [On-Site]
Category: Infrastructure
Employment Type: Contract
Date Added: 08/31/2026
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.
