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

As models, apps, and data pipelines are created and operationalized, the data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the data science teams. The DevOps engineer joins a small but growing competency within the data science team to operationalize a variety of analytics products on cloud platforms. 

Basic Qualifications:
• Bachelors (or above) Degree in Computer Science or related field
• 3+ years professional experience maintaining AWS infrastructure including VPC, EC2, IAM, S3, EMR, App Deployment, GLUE, SageMaker
• Understanding of administration and security of the AWS environment
• Understanding of compliance requirements within AWS
• Expertise in the deployment and maintenance of infrastructure and applications
• Understanding of data architectures, especially Data Lake and distributed computing

Responsibilities:
• Design and develop cloud infrastructure that is secure and scalable on AWS
• Configure, deploy, manage, and automate AWS cloud infrastructure to be used by the data science team and extended team
• Monitor and ensure the integrity of data pipelines
• Monitor and ensure the validity of deployed AI/ML models
• Administer the deployment, management, and monitoring of applications deployed on AWS via CI/CD or containers
• Ensure the compliance of the data science operations on AWS
• Monitor usage, cost, and implement optimizations of a variety of AWS resources
• Ownership of technical processes on AWS