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.
Required experience and skills:
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;
English β Pre-Intermediate +.
Working conditions:
5-day working week, 8-hour working day, flexible schedule without overtime;
All UA public holidays are days off;
Vacation and sick leave are covered by the company;
Health care program (activated after the probation period);
Office in the city center/remote;
English classes (speaking club in small groups)
The job ad is no longer active
Job unpublished on
13 June 2021
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