VoIP Engineer
Paris OfficeFull-TimeMid-levelSoftware Engineering
What you'll do:
- Own the Voice Stack: Design, implement, and maintain the SIP/RTP/WebRTC infrastructure that powers our global voice platform.
- Cloud SBC Management: Take primary responsibility for the configuration, deployment, and operation of our Cloud Session Border Controllers (SBCs), with deep expertise in Ribbon to manage carrier interconnects, security policies, and numbering plan logic.
- DevOps and Cloud Infrastructure: Implement Infrastructure-as-Code (IaC) using tools like Terraform or CloudFormation to manage voice infrastructure on AWS. You will integrate voice services into our continuous integration/continuous deployment (CI/CD) pipelines.
- Monitoring & Reliability: Set up and maintain advanced monitoring, alerting, and logging systems (e.g., Datadog, Hepic) to proactively identify and resolve high-severity incidents related to connectivity and audio media quality.
- Cross-Functional Collaboration: Work closely with the Infrastructure, Carriers Relations and Product teams to introduce new features, improve call routing logic, and troubleshoot complex, end-to-end communication issues.
- Automation: Introduce automation to recurring operational tasks, network provisioning, and reporting.
What you'll bring:
- Proven experience as a VoIP/Telecommunications Engineer in a high-volume, cloud-based environment.
- Expert-level knowledge of SIP, RTP, and associated protocols.
- Deep, hands-on experience deploying and managing Cloud Session Border Controllers (SBCs), specifically RibbonStrong practical experience with AWS cloud infrastructure (EC2, VPC, Lambda, SQS, CloudWatch) and using DevOps methodologies.
- Solid networking fundamentals (TCP/IP, UDP, BGP, firewalls).
Nice-to-haves:
- AI-driven software development skills are a significant plus, particularly in scripting and backend development using languages like TypeScript, Node.js, Python, or Go.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Experience working with large-scale data analysis related to voice quality and call detail records (CDRs).
