Project Description:
The project is for one of the world's famous science and technology companies in the 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 is a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.
Responsibilities:
- 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, and 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.
Mandatory Skills:
- Excellent communication skills
- Experience with AWS services and cloud system design
- Proficiency in Azure DevOps incl. project configurations, repositories, pipelines, and environments
- Proficiency in Azure AD incl. apps registration, and authentication flows (OBO, Client Credentials
Nice-to-Have Skills:
- 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 a regulated environment (GxP)
Languages:
English: B2 / C1