Headline

Network Systems Software Engineer | SONiC | AI Infrastructure Networking | Aviz Networks

About

I build software at the intersection of networking and distributed systems. Currently working at Aviz Networks, contributing to open networking solutions around SONiC-based data center fabrics. My work involves building telemetry pipelines, orchestration systems, and low-level agents that interact with network devices. What I work on: • Network telemetry collection and processing (high-scale data pipelines) • Fabric orchestration using intent-based configurations (YAML-driven systems) • Backend services using Java (Spring Boot) for control plane logic • System-level agents in C/C++ interacting with SONiC and switch infrastructure Tech stack: C, C++, Java (Spring Boot), Linux, Networking (BGP, QoS, switching), gNMI, Docker I am particularly interested in: • Network systems engineering • High-performance backend systems • Infrastructure for AI / GPU clusters Currently exploring deeper into networking protocols and scalable system design.

Location

Kakinada

AI stack

codex

cursor

opencode

Work experience

Sr. Software Engineer I at Aviz Networks, Apr 2026 - Present · 5 mos, Hyderabad, Development of network observability and orchestration systems for large-scale AI-driven data center fabrics, with a focus on scalability, hardware-awareness, and intent-driven automation. Driving backend architecture for configuration orchestration, enabling automated provisioning and lifecycle management of multi-vendor network devices using declarative intent models. Designing and building extensible parser and abstraction frameworks for multi-vendor NICs and accelerators (DPU / SuperNIC environments), enabling unified telemetry and control across heterogeneous hardware. Owning end-to-end backend workflows for configuration management, state reconciliation, and drift detection in distributed network environments. Enhancing orchestration efficiency by introducing execution optimization strategies, conditional workflows, and dependency-aware processing. Integrating modern network control and telemetry interfaces (gNMI, NVUE APIs) to enable programmatic configuration and real-time observability. Leading production debugging and root cause analysis across complex distributed systems, improving system reliability and operational visibility. Mentoring juniors and influencing design decisions around scalable system architecture, clean abstractions, and maintainable OOP design. Tech: C/C++, Java (Spring Boot), Linux, gNMI, NVUE APIs, Redis, Distributed Systems, Networking (L2/L3, VXLAN)

Software Engineer at Aviz Networks, Aug 2023 - Mar 2026 · 2 yrs 8 mos, Hybrid, Built and scaled network telemetry and infrastructure intelligence systems, focusing on deep integration with Linux-based network devices and data plane components. Developed high-performance system and network data collectors in C/C++ to extract telemetry from NICs, GPUs, and OS-level interfaces. Designed and implemented parsing frameworks for tools such as ethtool, nvidia-smi, and system interfaces to convert raw device data into structured insights. Engineered NIC-aware and hardware-aware abstraction layers supporting multi-vendor environments (e.g., Broadcom, Mellanox). Worked extensively with L2/L3 networking, interface statistics, and telemetry pipelines for real-time observability. Contributed to backend services for telemetry ingestion and configuration state handling using Spring Boot and REST APIs. Optimized collector performance by reducing redundant executions and improving parsing efficiency. Debugged and supported real-world deployments in SONiC and Cumulus environments, resolving production issues across distributed setups. Collaborated across infrastructure and backend teams to enable observability and automation in large-scale network fabrics. Tech: C/C++, Linux, Networking (L2/L3), Redis, Spring Boot, REST APIs, SONiC, Cumulus

Member of Technical Staff at Aviz Networks, Jun 2023 - Jul 2023 · 2 mos, Hybrid

Code India Fellowship at NavGurukul, Nov 2021 - Feb 2022 · 4 mos, Pune District, • Pilot an idea to help young girl children by teaching programming or coding through the application of innovative teaching techniques. (e.g merakilearn.org which boosted their learning rate to more than130%) • Design & support in the delivery of classroom sessions (Technical & Non-Technical) for 200+ students • Placed 50+ Girls in different IT companies with multiple profiles.

Education

Bachelor of Technology - BTech, Computer Science, National Institute of Technology Meghalaya

Intermediate, MPC, tirumala junior college

Public links

github: https://github.com/Dorababupc