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 — Pre-Intermediate +.
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;
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.
Product is an AI-driven trading platform (trading, strategies, bots).