Position: Systems Engineer (DevOps)
Category: DevOps
English level: intermediate
Years of experience: 3

From previous projects:
 Significantly improved code coverage by unit tests (up to 95%) on Groovy.
 Created roadmap and started implementing migration on Python from Bash/Groovy
 Extended current functionality with parallelism of library modules
 Implemented flexible configuration-based solution on Python

 Automated integration tests for AWS/GCP in Jenkins with Skype bot notifications
 Created scripts for backup/restore environment configuration

 Fully automated pipelines for bootstrapping/recreating EMR clusters for running analytic jobs on a daily basis and realtime processing
 Created Jenkins shared library for creating/managing complex analytic jobs pipelines with dependencies in one chain
Systems Engineer (DevOps / Big Data) engineer with about 3+ years of experience in systems engineering. Have good knowledge of Continuous Integration and Continuous Delivery processes, writing provisioning scripts and supporting existing systems with troubleshooting. Experience of using different automation tools, mainly on Linux systems. Good knowledge and working experience with Python, Bash, Jenkins and Hadoop/Spark. Sociable and communicative, project-oriented, and a good team player.
Preferable:
Cloud: GCP, AWS.
Field: Data Science / Big Data

Will be a plus: Jenkins / Python / Kubernetes

Stability, benefits for education, ability to change project inside company.