Position: DevOps Engineer
Company: Data Science UA
Category: DevOps
Experience required: 3y
English level: upper

Looking for a proficient *DevOps Engineer* 

Qualifications:
- Bachelor degree in Computer Science, similar technical field of study, or equivalent practical experience
- Proven successful experience as a DevOps engineer
- Excellent communication skills
- Exceptional analytical, quantitative, problem-solving, critical thinking,
- Confident writing production-quality code (bash etc)
- Building and automating deployment pipelines using CI/CD tools.

As a plus:
- Experience working on complex distributed systems and version control systems
- Experience with Ansible, Terraform, or other configuration management systems
- Experience with Docker
- Confident writing production-quality code preferably in Python and SQ

Responsibilities
- Automate the provisioning, management, and monitoring data platforms and architecture
- Manage the deployment, orchestration, and monitoring of data processing and dissemination platform
- Design and implementation of CI/CD pipelines covering infrastructure, code build, and deployment
- Develop internal tooling and capability to support their engineers and SaaS solutions
- Work closely with teams to create ultra-scalable, flexible, and highly reliable systems
- Troubleshooting, diagnosing, and fixing production software issues
- Working with AWS technologies and improving infrastructure security and resiliency
- Take ownership and pride in the products they build and always make sure they are of highest standard
- Creating / scripting, monitoring, and maintaining Spark Clusters
- Building and working with complex ETL workflows (Luigi, Airflow)