C++ Telecom OAM Engineer
TalentON · Bengaluru · onsite · Posted 40d ago
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About this role
C++ Telecom OAM Engineer Bangalore
We are looking for a C++ Telecom Software Engineer with 4–8 years of experience to work on OAM (Operations, Administration & Maintenance) functionality for 4G/5G Core Networks.
Key Responsibilities:
- Design, develop and enhance OAM/FCAPS functionality for telecom network elements.
- Develop and maintain software using C++ on Linux platforms.
- Work on OAM architecture, configuration, fault/alarm and performance management.
- Develop and integrate OAM interfaces using NETCONF, YANG, REST and JSON.
- Work with Docker, Kubernetes and microservices in distributed/cloud-native environments.
- Adapt OAM functionality for OpenStack/Kubernetes-based deployments.
- Collaborate with architecture, development, testing and other engineering teams to deliver telecom software solutions.
- Troubleshoot, debug and resolve software issues in complex telecom/networking environments.
Required Skills:
- 4–8 years of software development experience.
- Strong hands-on programming experience in C++.
- Good hands-on experience with Linux.
- Experience in Telecom / Wireless networks, preferably 4G/5G.
- Good understanding of OAM / FCAPS concepts and architecture.
- Exposure to NETCONF and YANG.
- Experience with Kubernetes / Docker / containerized or microservice-based applications.
Good to Have:
- Experience with REST APIs, JSON and OpenStack.
- Experience with ConfD.
- Exposure to 4G/5G Core network elements such as MME, Gateways, etc.
- Experience working in cloud-native telecom environments.
- Exposure to AI-assisted software development tools.
Location: Bangalore
Work Mode: Work from Office – 5 days a week
Sourced from naukri
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Aevas mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions
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