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Software Engineer | GO Programming, Cloud-Native

  • Source: Naukri
  • Cisco
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Job Summary

Meet the Team

The Cisco cnBNG Control Plane team builds Ciscos cloud-native Broadband Network Gateway - the carrier-grade subscriber-management brain that runs as microservices on the SMI (Subscriber Microservices Infrastructure) / Kubernetes platform and interworks with IOS-XR, Silicon One-based User Plane Functions (UPFs). We power some of the worlds largest residential and business broadband deployments, serving millions of subscribers with strict availability and scale requirements. We value technical depth, automation-first engineering, continuous learning, collaborative problem-solving, and responsible adoption of AI-assisted development practices.

Your Impact

As a Software Engineer on the cnBNG Control Plane, you will own the design, delivery, and end-to-end quality of carrier-grade subscriber-management features in a cloud-native architecture. You will build session-handling, CP-UP separation, redundancy, and scale capabilities that keep millions of subscribers online across Silicon One-based UPFs - and own their unit, integration, system, and scale validation with automation-first practices. You will mentor junior engineers and use modern AI-assisted tools to accelerate development, testing, and debugging. The successful candidate will independently own a significant Control Plane feature area and its unit/integration/system/scale validation and automation, deliver production-quality code and tests, lead sophisticated investigations across CP and Silicon One UPFs, and provide evidence-based release recommendations - while influencing design, mentoring, and using AI-assisted tools responsibly with security and engineering accountability.

Responsibilities

  • Design, develop, and maintain cnBNG Control Plane microservices (C/C++/Go) on the SMI/Kubernetes platform, interworking with IOS-XR / Silicon One-based User Plane Functions.
  • Implement and enhance subscriber-management functionality: PPPoE/IPoE session bring-up, DHCPv4/DHCPv6 (server/proxy/relay), Prefix Delegation, RADIUS/AAA, PAP/CHAP, accounting, Change of Authorization, IPAM, subscriber policy, and QoS.
  • Develop and harden CP-UP separation over the State Control Interface - session programming, state download/replay, and reconciliation between the Control Plane and Silicon One UPFs.
  • Build features for scale and high availability: cluster upscale, N:M and geo/warm redundancy (SRG), CP-GR switchover, and subscriber-session continuity during CP-UP communication failures.
  • Own quality end-to-end: write unit tests and component/integration tests; design and execute system, regression, scale, performance, resiliency, and high-availability tests for your features.
  • Develop reusable, scalable test automation (Python; pyATS/Genie or equivalent) and integrate it into CI/CD pipelines and regression suites.
  • Build and maintain containerized / virtual / cloud-based test environments (Docker, Kubernetes, SMI) and validate subscriber-scale, traffic, failover, upgrade/rollback, process-restart, and subscriber-churn scenarios.
  • Optimize control-plane performance, memory, and convergence for millions of subscribers across large UPF fleets.
  • Develop and maintain gRPC/REST APIs and YANG/OpenConfig models, plus CLI and model-driven telemetry for configuration and operational visibility.
  • Troubleshoot sophisticated, distributed issues across CP, Silicon One UPFs, and the SMI/Kubernetes stack; drive RCA using logs, traces, core dumps, RADIUS transactions, and telemetry.
  • Manage code with Git; participate in code reviews; collaborate with Test Engineering on feature, scale, and HA validation.
  • Work with architects, DE/DT leads, and PLM to deliver features across the release lifecycle (BC/CC, AC/EC, DEVELOPING, FCS).
  • Actively use approved AI coding assistants and engineering agents for code generation, unit/automation test creation, static analysis, log analysis, defect triage, and documentation - validating AI-generated output responsibly.

    Minimum Qualifications (Must-Have)

  • Bachelors or masters degree in Computer Science, Electrical/Computer Engineering, Telecommunications, or a related field.
  • Experience in systems/embedded or cloud-native software engineering for networking products.
  • Strong programming in C/C++ and/or Go on Linux; Python for test automation and scripting.
  • Experience writing unit, integration, system, and scale/performance tests, and building automation …

Skills

  • c10
  • cplusplus
  • Golang
  • Kubernetes
  • iOS
  • Python
  • Docker
  • gRPC
  • Protobuf
  • Github
  • gitHub-copilot
  • ixia
  • spirent
  • etcd
  • aha
  • JIRA

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