DevOps Trainee

Apply for an analytics engineering traineeship at Infinite Lambda.

We created the Talent Accelerator, a 12-month fully paid training programme to make the world of cloud and data innovation more accessible. We will mentor you, support you in building your tech stack and help you gain practical experience.

The traineeship consists of:

  • 3 months of intensive training in cutting-edge tech
  • 9 months of hands-on practice on real projects

Learn how to leverage modern tools and methodologies to optimise software development, create complex cloud infrastructure and keep it safe and secure.

We will teach you everything you need to know about the top cloud providers (AWS, GCP and Azure) and show you how to use Terraform to automate secure infrastructure deployment. You will be exposed to great DevOps practices that empower engineering teams to automate machine learning and data engineering deployables. You will also learn how to implement DevOps principles into data engineering, also referred to as DataOps.

The traineeship is paid, full time and on site at our offices.

The position is open to applicants based in Sofia and Plovdiv, Bulgaria.


  • Linux management experience
  • Network management experience
  • Basic OOP programming skills

soft skills

  • Excellent command of English
  • Team player
Why Join us

We want to see you thrive with us.

Being Your True self

Thrive in a supportive and inclusive team that is lucky to have you for who you truly are.

Practising innovation

Use cutting-edge tech at a front seat to the rapid evolution of cloud and data.

Living autonomously

Pick your location, manage your time and forget about logging office visits. Life is too short for red tape.

Learning & Growth

Get dedicated learning and development time, access to top-notch learning portals and use coaching opportunities.

Enjoying the perks

Get private health insurance, work-from-home budget, unlimited paid holiday and wellness benefits.

Our hiring process

Application review
Screening assessment
Technical interview
Cultural conversation