Expire bientôt Teads

Cloud Infrastructure Engineer

  • Montpellier (Hérault)
  • Conception / Génie civil / Génie industriel

Description de l'offre

===== About Teads =====

At Teads, we do video advertising, at scale.
We invented outstream video advertising and now have a reach of more than one billion unique users every month.

With 26 offices worldwide in 18 countries, 450 employees and a dizzying growth, Teads will offer you opportunities for your career in France or elsewhere.

We have created a strong company culture that empowers passionate people, gives them the right tools and trusts them to do their jobs as best they can.
We thrive on innovation, hard work, and team spirit.
And of course, because we work so hard to make sure our clients are deligthed with our work, we also like to party hard!

===== What we are looking for =====

The infrastructure team is looking for a skilled Cloud Infrastructure Engineer with hands-on experience on AWS that is able to deliver quality code and infrastructure.
You'll be based in Paris or Montpellier and be given your personal flavor of environment (PC / Mac) to work on our great challenges.
You care about performance, monitoring, reliability, reducing latency, having a cost efficient platform.
You are pragmatic and flexible, you like to learn new tools and languages.
You are familiar with software engineering best practices (e.g., design patterns, peer code reviews, unit testing)
Ideally, you have past experience in building, industrializing and running large highly-available infrastructures on multiple regions.

Bonus points if you are familiar with :
- advertising technology
- high-traffic microservices architecture

===== What you'll do everyday =====

- Help feature teams deploy, run and monitor their services (mainly scala) 
- Help feature teams improve performance and cost efficiency
- Industrialise our infrastructure to make it more reproducible and resilient

===== Our Stack includes / some figures =====

- Docker / CoreOS
- Cassandra clusters
- Kafka clusters
- Redis
- Chef
- Extensive use of AWS (Hundreds of EC2 instances, 3 different AWS regions)
- 6 M Requests served per minute

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