What you will do

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

• CI/CD Pipeline Ownership - Design, implement, and maintain automated CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline) to enable reliable and frequent deployments.
• Cloud Infrastructure Management - Build and manage scalable and secure cloud environments in Azure and AWS using IaC (Terraform, CloudFormation, ARM/Bicep).
• Environment Reliability & Monitoring - Implement monitoring, logging, alerting, and performance optimization using tools like CloudWatch, Azure Monitor, Grafana, Prometheus.
• Automation & Configuration Management - Automate routine operational tasks using PowerShell, Bash, Python, Ansible, or similar; ensure consistent configuration across all environments.
• Security, Compliance & Best Practices - Apply cloud security best practices (IAM, network controls, secrets management), ensure compliance with internal and industry standards, and support audit readiness.

Requirements

MUST

• Proficiency in Azure DevOps incl. project configurations, repositories, pipelines, and environments
• Proficiency in Azure AD incl. apps registration, and authentication flows (OBO, Client Credentials)
• Good understanding of AWS services and cloud system design

NICE TO HAVE

• AWS CDK, Azure DevOps (ADO) pipelines, and proficiency in Python
• Familiarity with R and SAS is beneficial, particularly for data analysis and statistical modeling tasks
• Experience in regulated environment (GxP)