Aircall was founded in 2014 & is now one of the fastest growing B2B SaaS companies in the world. Its main mission is to bring value to voice communications by focusing on user experience, collaboration & integration with other softwares. With $40 million in backing from Balderton, Draper Esprit, NextWorld Capital & eFounders & supported by the successes of our 5,000+ customers from Expensify, Pipedrive, Travelperk, Adore Me & Sendinblue, Aircall & its international team of 200 talented people is addressing a growing market of $50+ billion.
At Aircall, we are looking for engaged & passionate Software Engineers to join our growing Engineering Team at Paris. These next couple years, our technical challenge is to leverage a fully decoupled architecture & ultimately microservices at scale with a reliable, event-driven infrastructure behind the scenes.
- Volume: Store, aggregate & compute 1M+ events / day today, 100M+ by next year
- Live: Analyse & take live decisions based on 1M+ events / day
- Modularity: Make our stack scale & increase squads' productivity by featuring microservices based on event-driven architecture
- Uptime: Keep a 99.99% uptime while dealing with an exponential activity growth
Customer centricity is one of our values at Aircall & data helps us make decisions to answer business needs & improve our feature. Our customers, as well, get added value from data we provide.
We track every customer action, call metrics & other features data points. As we scale, our current data platform is not anymore relevant, performant & reliable to manage our hyper growing volumetry & real time constraint.
To manage these challenges, we are scaling our teams. Engineering team is organized by Chapters, Tracks & Feature Squads. Agile, autonomous, stable & pluridisciplinar squads are focused on a business scope driven by ambitious customer centric objectives & key results. Feature teams are supported by Platform teams composed by Infra, Architecture, QA & Data profiles.
As a DevOps Engineer, you will join our team Platform team as a key member. You will work closely with Product, Data Science & Engineering teams to design, deploy, & run our new state of the art Data Platform. Scalability, Performance, Reliability & Maintainability are our main goals. Then as expert, you will help our Feature teams to build added value around it.