top of page

DevOps

Ljubljana, Slovenia

Job Type

Full Time

About the Role

We are looking for an experienced engineer that will help us set up and maintain IT infrastructure on-premise and in the public cloud (AWS). 

Responsibilities

  • setup and maintain IT infrastructure on-premise (our own and clients),

  • setup and maintain IT infrastructure on AWS, 

  • setup and maintain CI/CD pipelines,

  • setup infrastructure monitoring solutions,

  • reduce AWS costs.

Requirements

  • experience with system administration,

  • experience with AWS (AWS certified is a plus),

  • experience with conternisation (Docker),

  • experience with orchestration (Amazon Elastic Container Service (ECS), Kubernetes, Amazon Kubernetes Service (AKS)),

  • deep system-level understanding of Linux,

  • drive to understand what is going on,

  • comfortable with professional software engineering best practices,

  • self-organised individuals that can work independently.

Nice to have

  • familiarity with Laravel, nqinx, PostgreSQL, Python, RabbitMq,

  • experience with MicroService architecture.


What we offer

  • full-time employment,

  • stimulative compensations,

  • modern offices in Ljubljana,

  • remote work and flexible hours,

  • work with highly motivated and skilled engineers,

  • choose your preferred hardware (Mac/PC),

  • challenging and rewarding tasks,

  • work on a product that helps better understand and manage our planet,

  • personal and career development.

About the Company

Flai is a spinoff company of Flycom Technologies.

Flai develops a web-based application that automatically turns raw geospatial data into meaningful information. Point clouds, images, and satellite data are processed via advanced AI models – this complex work is done automatically on a scalable infrastructure which reduces time-to-process from months to days.

Our AI models are pretrained on multiple data sources and can be used for processing right away. Also, our solution enables additional training of AI models. All annotations done on the web application are automatically used to generate better results. Retraining the AI model greatly reduces the time and cost needed for quality control and manual edits.

To apply send us an email at jobs@flai.ai 

bottom of page