Senior Platform Software Engineer – IPsec/VPP/Kubernetes

Parallelwireless · Bengaluru

  • Experience8–13 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted29 Sept 2026

About Parallelwireless

Parallelwireless is hiring in Bengaluru in telecom. This role looks for around 8+ years of experience.

Skills

  • IPsec
  • VPP
  • StrongSwan
  • Linux networking
  • Docker
  • Kubernetes
  • C/C++
  • Python

The role

A platform software engineer at a telecom product company develops networking software using IPsec, VPP, and StrongSwan, and troubleshoots Linux networking across containerized environments. The role applies C/C++, Kubernetes, and AI-assisted log analysis to improve high-performance packet processing and root-cause analysis.

Full job description

The Role

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:

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.

What you should have:

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.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:

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

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.