Position: Middle/Strong Middle DevOps Engineer
Company: Intellias
Category: DevOps
Experience required: 3y
English level: upper

**Project Overview:**

Due to intensive growth Intellias is glad to invite DevOps Engineer to its Automotive Division. The project that you will be involved is focused on management of Cloud infrastracture for global Tier 1 client (existing solution). Successful candidates will be involved in the very friendly and positive working environment and close cooperation with the customer to provide the product of the highest quality.

**Responsibilities:**

• AWS infrastructure development:
       o Support the cloud feature development team for the development of new AWS infrastructure;
• AWS infrastructure maintenance & optimization:
       o E.g. maintenance of database versions, EKS versions
          Includes preparation, test and deployment;
       o E.g. infra optimization based on the recommendation of the FinOps team;
               Migration of database types;
               Migration of compute resources;
       o E.g. infra optimization based on the recommendation of the SecOps team;
• COS development & maintenance & optimization:
o HashiCorp Nomad and AWS EKS;
• Asset maintenance:
       o AMIs;
       o Docker images;
       o Gitlab server;
       o Etc.
• Maintenance of disaster recovery strategy and improvements:
       o Regular tests of the disaster recovery strategy;
       o Game days;
• Concept and architecture evaluation for new JOYNEXT cloud services:
o Support the cloud feature development team with evaluations of infra architecture options for the implementation of new server with regard to costs, scalability, maintainability, etc.


**Requirements:**

• AWS public cloud (also AWS China):
       o E.g. Databases, ALB, EC2, Lambda, SQS, SNS, ElastiCache, OpenSearch;
• Multi-Cloud experience is an advantages;
• IaC - Cloudformation and Terraform;
• CI/CD - Gitlab CI;
• COS - HashiCorp Nomad and AWS EKS;
• Container - docker;
• Scripting - Python.