Senior Platform Software Engineer – IPsec/VPP/Kubernetes

Responsibilities

• Design, develop, debug, integrate, and maintain networking/platform software involving IPsec, VPP, StrongSwan, and Linux networking.
• 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.

Requirements

• 8–13 years of hands-on software/platform development experience, preferably in networking or telecom.
• 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.
• Strong C/C++ programming and debugging skills, with Python/scripting skills for automation, analysis, and development of engineering tools.

Preferred

• 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.
• 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 telecom networking.
• Experience with high-performance packet processing and telecom networking products.

What you should have

• 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.

AI & Automation – Good to Have

Exposure to AI/LLM-based developer tools or coding assistants.

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.