We're a leader in Customer Adaptive Cloud-Telephony Platform. We are constantly innovating using our future-ready tech stack, powered by Artificial Intelligence in the cloud telephony.
MyOperator Engineering team culture is built on 3 core pillars – Ownership, Integrity, and Perseverance. We promote and value transparency & communication throughout the team.
People can choose to work anytime, anywhere, any duration. We just focus on the collaboration and results.
We focus on collaboration between team and people, creating the best environment for learning and growth.
We want MyOperator to be awesome, that's why encourage people to do deep research in required topics before development. There is a lot of freedom given to each engineer for out of the box thinking.
Technical Leads at MyOperator continuously encouraged to work with their teams on cross-skilling and up-leveling engineers on newer technologies.
All people in the team very serious about achieving the results and targets. We follow OKR process for planning and delivering features every quarter.
We design and create distributed systems with reliability and scalability in mind.
Lanched OBD project which allows companies to integrate MyOperator into their calling systems. Designed with event driven and microservice architecture to support 10 million calls a day.
Launched One way calling mobile app to make it easy for the users to make outgoing calls from mobile through MyOperator.
Launch of Emotion detection system (Beta) in MyOperator, which could detect emotions like anger in raw audio data. Helping companies to detect problems in communiction.
Launch of MyOperator Marketplace to allow other developers to integrate MyOperator into other products easily. Which which help expanding the MyOperator Ecosystem.
Launch of keyword detection AI in MyOperator which will enable users to search audio recordings like we search text.
Launch of MyOperator Voice Bot (Beta), allowing the users to interact with MyOperator IVR with speech.
Launch of customer adaptive AI agent, to analyse calling data and find anomalies in user behaviour and usage patterns.
Launch of Emotion Detection V2 AI, will help users to improve thier conversation by analysing thier recordings, detect problems and suggest improvements.
I see a lot of people in the team are clueless about how to grow in the team. I have created this blog to guide...
Serverless setup with AWS Setting up a completely automated serverless setup on AWS can be a very hefty task. It will require a lot of...
The core value of the team is freedom and responsibility, culture is free and we have to use that freedom for the advantage of the...