support Data Engineering and Data Science Teams, including application development support (Java, Python, etc.) for deployment of multi-cloud big-data applications and Machine Learning use cases
focus on automation of deployment and integration tasks (CI/CD)
drive cloud infrastructure management and automation
work closely with Data Scientists to bring models into production
evaluate new tools and approaches to continuously evolve the team's DevOps practice

4+ years developing in an Object-Oriented Programming language (Java preferred)
3+ years developing in Python (may be combined with the above requirement, if Python experience is strictly OO coding)
Familiarity with specialized scripting/SDKs related to data management (e.g.: Boto3, PySpark)
Familiarity with key file formats: JSON, YAML, AVRO, Parquet
2+ years working in Public Cloud environments (AWS or GCP required, others desirable)
Strong familiarity with GCP environment
2+ years working in Linux environments
2+ years in Integration Engineering, CI/CD or related field
Practical experience setting up build pipelines
2+ years working with GIT and other SCM
Experience with containerization frameworks (Kubernetes, Docker)
Experience with REST web-services frameworks (e.g.: Spring Boot, Flask, Rails)

Cloud MLOps Engineer

Key skills