Position: DevOps Engineer (Azure)
Company: Fractal Analytics
Category: DevOps
Experience required: 2y
English level: upper

Responsibilities:

- infrastructure design, deployment, and configuration.
- configuration management software usage to automatically deploy updates and fixes into the production environment.
- GitLab infrastructure and other developer tools maintaining to support the development of product.
- collaborate with developers, BAs, and QAs to ensure configuration and custom components meet application requirements and performance goals.

Requirements:

- 2+ Year experience in of DevOps/Development.
- experience in building services in MS Azure.
- experience in Azure web application deployment.
- experience in Gitlab and GitLab CI.
- Upper-intermediate English, verbal and written.

As a plus:

- experience in building services in AWS and Google Cloud.
- experience in Security Standards usage.
- experience in the current project’s stack: JavaScript (Angular)/C++, SQLite.

We offer:

- Best team: multicultural team of bright specialists and friendly, helping people (data scientists, ML/AI specialists, data engineers, developers, business analysts, QA team, as well as internal support staff);
- Challenge: plenty of complex and exciting projects from international clients;
- Income: competitive salary and end-year bonuses;
- Travelling: possibility to travel onshore and clients’ side;
- Learning and professional development: access to company learning platforms with free courses, external certifications and learning programs;
- Being healthy: free insurance after probation period; paid vacation;
- Communication: company parties, celebrations, workshops in different locations, cross-locations and cross-projects exchange programs.

Project description:

You’ll be working as a part of team of 6 people located in Kyiv office for a client from Fortune 500. Web-based analytical application which allows to manipulate the data at different level of aggregation, use variety of modelling approaches and their combinations to produce sales forecasts and simulate