Position: Senior DevOps Engineer
Company: Grid Dynamics
Category: DevOps
Experience required: 5y
English level: upper

We seek DevOps Engineer to build automation to enable machine learning engineers to continuously deliver predictive analytics for forecasting, personalization, and inventory optimization.

As a DevOps Engineer, you will be expected to own projects end-to-end, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates.

**Project description**
You’ll be working with the Advanced Analytics and Machine Learning (AA/ML) team. With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. 
You’ll be designing and implementing automation for scalable applications that leverage prediction, image recognition, and natural language processing models to deliver data-driven decisions that result in immense business impact. 
You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development.

**Client description**
It's one of the 100 largest corporations in the world. Truly international. It promotes sports, and equality and supports high-profile athletes and teams around the world. 
The client's IT department totals thousands of engineers including DevOps, Mobile, BigData, ML, and many others. It's the most actively growing part of the company.

**Details on the tech stack**
· Experience with building CI/CD infrastructure (preferably Jenkins)
· Experience with Docker, Kubernetes, and related tools and systems
· Experience with AWS components and services, particularly, Cloudformation, IAM, ECS/EKS, EMR, S3, and Lambda/Serverless
· Strong Python, shell scripting, and SQL
· Experience with technologies like Apache NiFi, Apache Airflow, Postgres, or Redis would be an advantage