Position: Senior DevOps Engineer
Company: GlobalLogic
Category: DevOps
Experience required: 3y
English level: upper

**Job Description**
- 4+ years as a DevOps engineer in infrastructure management and automation
- Good experience with Docker and container orchestration tools
- Solid experience with Kubernetes
- Proficient with centralized log management and monitoring tools
- Hands-on experience with Linux-based infrastructures, Linux/Unix administration
- Experience building CI/CD pipelines for automated infrastructure provisioning leveraging Azure DevOps / Jenkins or others CI/CD tools
- Upper-Intermediate level of English. Ability to actively & openly communicate with the English speaking client

**Job Responsibilities**
- Work with CI and CD tools
- Automate & update our operational processes as needed, with accuracy and in compliance with our security requirements
- Build and maintain highly available systems
- Manage code deployments, fixes, updates, and related processes
- Test system integrity, implement designs, application developments, and other processes related to infrastructure, making improvements as needed
- Deploy product versions/updates as required while implementing integrations when they arise
- Adhere to the DevOps engineering team world's best practices

**Department/Project Description**
We are looking for an experienced DevOps engineer who will help our client build systems and a solid DevOps practice. You will work directly with the client, together with our experienced DevOps team, technical lead, architect & project dev team to identify and establish the best solutions.

We are building a top-notch Web application for one of the most innovative German hardware manufacturers. Our project is very dynamic, with microservices architecture, currently in the active phase of development with an experienced and actively learning team in place. 

A product should grow into a flexible suite of capabilities to allow end-users (the world's largest IT corporations) to perform post-acquisition 3D visualization and analysis of microchip images. The project is rich in scientific knowledge, high tech, machine learning & upcoming big data.