Description

You will manage data infrastructure and automation workflows across multi-cloud environments.

Responsibilities

• Build and maintain CI/CD DevOps pipelines for data and ML workflows.
• Manage MLOps workflows and data lake architectures.
• Configure monitoring dashboards using Grafana and Prometheus.
• Develop and deploy microservices using Spring Boot.
• Operate within Agile/Scrum frameworks to deliver data infrastructure improvements.

Required Skills

• 8+ years of professional experience in data or DevOps engineering.
• Hands-on expertise with Python and Apache Spark.
• Experience managing workloads in Kubernetes and Docker.
• Proficiency with Azure and multi-cloud environments.
• Strong knowledge of GitHub Actions and Azure DevOps.
• Experience with version control systems including Git, GitHub, Bitbucket, and Azure Git.
• Practical use of Selenium and Postman for testing.
• Familiarity with deep learning frameworks.
• Bachelor's degree in any field.

Preferred Skills

• Experience integrating MLOps into existing CI/CD pipelines.

Key Skills

Education

Any Gradute