“Alone you go fast, together we go further”, we truly think that working together makes the difference !
Our amazing engineering team is composed by 25+ multicultural engineers in both Paris and New-York. We build software on top of voice communication solution as Twilio.
We’re organized in squads which allows us to combine different experts (tech, product, design, business) around a specific roadmap project. This drastically improved our productivity by focusing on key subjects and making our own decisions. Trust in one another is the key to success, along with commitment and transparency.
What you will do
We have one squad focus on the global call quality of the millions of calls made with Aircall, everywhere in the world, as without a great call quality, our feature can’t be at the level we, and our clients, expect. This small team is composed of Software Engineer and Data Analyst, and we want to enforce it with a VOIP Engineer to help us go into deeper problematics.
You will have the opportunity to work with many team members, like backend engineer, data analyst, product manager or the support team on various subjects from carrier management to robotic voices issues.
In more details
Be the owner of our Call Quality
Example : In case of drop on our quality index in a country you can read a pcap and get enough data to contact the support of our partners or edit our (simple) backoffice.
Example : You can understand common quality metrics and investigate strange behaviors.
Example : You are able to pro-actively propose improvement to call quality or alerting.
Improve Call Quality awareness in the team
Example : You provide tooling for the teams (scripts) to help them get aware of their impact on Call Quality
Example : You can produce and follow KPI’s based on our Calls Data, like NER, PDD, PESQ, etc..
Example : You will be able to setup interconnection with a carrier (sip routing)
Example : You are a technical point of contact for our team, and for the carrier support
Example : Prioritise Call Quality subjects and define our strategy to resolve or reduce them.
Example : Have a pragmatic approach back by metrics to explore call quality issues (hypothesis, build, measure, learn, iterate) with a multidisciplinary team compose of backend engineer, frontend engineer and data analyst.
What we are looking for
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