We are looking for a highly experienced Senior Network Platform Software Engineer with 8–12 years of hands-on software/platform development experience in networking, telecom, or high-performance networking domains.
The role will primarily focus on network platform development, feature implementation, code-level debugging, issue resolution, and system integration across IPsec, VPP, StrongSwan, Linux networking, Docker, and Kubernetes. The engineer will also contribute to AI-assisted engineering initiatives, developing tools to automate log analysis and improve root-cause identification and debugging efficiency.
What you'll do:
Develop and enhance networking features involving IPsec/IKE, routing, traffic selectors, SPD/SAD, tunnels, and traffic segregation.
Work with existing codebases to understand implementation flows, modify code, implement fixes, and resolve defects.
Debug complex networking scenarios across multi-tunnel, multi-network, VLAN, container, and Kubernetes environments.
Perform end-to-end troubleshooting and RCA across application, container, networking, VPP/DPDK, and Linux kernel layers.
Develop and enhance AI-assisted tools for automated log analysis and root-cause identification, and collaborate across teams to drive complex issues through resolution.
What you should have:
Strong hands-on experience with IPsec, VPP, and StrongSwan, including implementation, debugging, and integration.
Strong Linux/Kernel networking expertise, including packet flow, CPU/IRQ, performance, and system-level debugging.
Hands-on experience with Docker/Kubernetes networking, including CNI/Multus, SR-IOV, pod/service networking, and cluster debugging.
Experience with VPP/DPDK and high-performance networking is highly desirable.
Strong C/C++ programming and debugging skills, with Python/scripting skills for automation, analysis, and development of engineering tools.
AI & Automation – Good to Have:
Interest or experience in applying AI to software development, log analysis, debugging, and RCA automation.
Experience with automation, log-processing, or internal debugging/analysis tools.
Nice to Have:
Experience with Linux kernel networking internals and system debugging tools.
Experience with SR-IOV, Multus, CNI, and cloud-native telecom networking.
Experience with high-performance packet processing and telecom networking products.
Role Evolution:
The initial focus will be on understanding the existing networking implementation, codebase, architecture, and failure patterns. Over time, the engineer will take increasing ownership of feature development, code-level debugging, defect resolution, performance optimization, and AI-assisted RCA capabilities.
The objective is to build strong engineering ownership across the networking stack, from application and container layers through IPsec, VPP/DPDK, Linux networking, and kernel layers, while using AI-assisted automation to improve log analysis, debugging efficiency, and root-cause accuracy.
Skills Required
- 8-13 years of hands-on software or platform development experience, preferably in networking or telecommunications
- Hands-on experience with IPsec, VPP, and StrongSwan, including implementation, debugging, and integration
- Strong Linux and kernel networking expertise, including packet flow, CPU/IRQ, performance, and system-level debugging
- Hands-on experience with Docker and Kubernetes networking, including CNI, Multus, SR-IOV, pod/service networking, and cluster debugging
- Strong C/C++ programming and debugging skills
- Python or scripting skills for automation, analysis, and engineering tool development
- Experience with VPP/DPDK and high-performance networking
- Exposure to AI/LLM-based developer tools or coding assistants
- Experience applying AI to software development, log analysis, debugging, or root-cause automation
- Experience with automation, log-processing, or internal debugging and analysis tools
- Experience with VPP/DPDK datapath development and performance optimization
- Experience with Linux kernel networking internals and system debugging tools
- Experience with SR-IOV, Multus, CNI, and cloud-native telecommunications networking
- Experience with high-performance packet processing and telecommunications networking products
What We Do
At Parallel Wireless, we believe that software has the power to unleash amazing opportunities for the world. We disrupt the ways wireless networks are built and operated. We are reimagining how hardware, software and the cloud work together to change deployment economics for our customers. Our ALL G O-RAN software platform forms an open, secure and intelligent RAN architecture to deliver wireless connectivity, so all people can be connected whenever, wherever, and however they choose. We are engaged with over 50 global MNOs and have been recognized with over 74 industry awards. At the core of what we do is our team of Reimaginers who value innovation, collaboration, openness and customer success. For more information, visit: www.parallelwireless.com.
