At Intelygenz, we envision a future where processes accelerate performance.
For the companies we work with, this means finding ways to optimize their data using cutting-edge technologies like A.I.
enabled automation.
To achieve this vision, we need the brightest people in business, tech, and analytics working together to deliver groundbreaking solutions that transform how businesses work.
We're on a continuous journey to build this dream team and are always looking for talented people that share our goals and passion for technology.This mindset is a huge part of our culture.
We thrive on pooling our skills, collaborating on projects, helping one another learn, and creating new innovations.
If you join our team, you'll be working alongside highly-skilled tech lovers with a multitude of different specialisms.
Outside of our projects, we host training, events, retreats, and the occasional happy hour - all of which are a huge part of life at Intelygenz.We're looking for a Python Tech Leadto participate in challenging projects, learn in a friendly, collaborative environment, and help us take innovation to the next level.
We are totally committed to microservices architecture, embracing Clean Code, ATDD, and Cloud Computing, all of this in an agile environment and a DevOps culture.What are you going to do?You will be part of an agile team of amazing developers, and even better people!Participate in dailys and retrospectives.Quality is a must for us.Continuous integration, test, and delivery are part of our DNA.Would be very cool if you:Have 5+ years of experience working with Python (but we're flexible!
don't take this as a hard limit).Are familiar with scalable architectures.Understand databases, both relational and NoSQL.Know about Continuous Integration.Understand and share the DevOps culture.Value good development practices.Enjoy working in an agile and collaborative group.Have an advanced level of English in reading, speaking, and writing.A Plus if you:Have knowledge of Python web frameworks (Django, Flask, FastAPI...).Are a master of testing, from unit to integration.Know Docker and/or Kubernetes.Are used to working with APIs; not only consuming them but also defining and exposing clear ones.Have experience with Machine Learning.
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