Grid Data Path Engineer designing and maintaining software for networking solutions at Quvia. Focusing on performance and scalability in the AI-powered connectivity space.
Responsibilities
Design and develop software modules using C/C++ for high-performance network applications
Part of the software also involves integrating with Python based modules
Work on L2–L7 networking protocols such as Ethernet, IP, TCP/UDP, BGP, OSPF, MPLS, and others
Collaborate closely with architecture and QA teams to define and deliver robust software components
Debug and resolve complex issues across multiple layers (application, transport, and network)
Analyze crash files and debug with the team to resolve them
Configure and troubleshoot virtual networking in virtual machine (VM) environments — bridges, TAP/TUN interfaces, VLANs, and virtual switches (like OVS)
Deploy and test networking software inside VMs or virtualized test environments (e.g., KVM, VMware, VirtualBox, or cloud VMs)
Collaborate with DevOps and QA teams to ensure seamless deployment, configuration, and testing workflows
Participate in design and code reviews, enforcing best practices for maintainable, high-quality code
Mentor junior engineers and contribute to technical design discussions and documentation.
Requirements
Bachelor’s or Master’s degree in Computer Science, Electronics, or related discipline
7–10 years of hands-on software development experience in C/C++ and Python
Strong understanding of networking concepts and protocols — IPv4/IPv6, ARP, VLAN, TCP/IP stack, routing, switching, or network virtualization
Experience with Linux based systems — system programming, socket programming, and multithreading
Hands-on experience with packet capture/analysis tools (Wireshark, tcpdump, etc.)
Exposure to DPDK/VPP, SDN/NFV, or network appliances is a strong plus
Experience integrating software with network management systems (NMS), SNMP, or REST APIs
Familiarity with CI/CD pipelines, Git, Jenkins, Docker, Kubernetes preferred
Excellent problem-solving and debugging skills in distributed systems
Good understanding of software design patterns and performance optimization techniques
Strong analytical thinking and attention to detail
Good communication skills and ability to work in a collaborative environment
Proven track record of delivering production-quality software in fast-paced teams.
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