Project description
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.
Responsibilities
CI/CD Pipeline Ownership - Design, implement, and maintain automated CI/CD pipelines (Git Hub Actions, Azure Dev Ops, AWS Code Pipeline) to enable reliable and frequent deployments.
Cloud Infrastructure Management - Build and manage scalable and secure cloud environments in Azure and AWS using Ia C (Terraform, Cloud Formation, ARM/Bicep).
Environment Reliability & Monitoring - Implement monitoring, logging, alerting, and performance optimization using tools like Cloud Watch, Azure Monitor, Grafana, Prometheus.
Automation & Configuration Management - Automate routine operational tasks using Power Shell, 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.
Skills
Must have
Excellent communication skills
Experience with AWS services and cloud system design
Proficiency in Azure Dev Ops incl. project configurations, repositories, pipelines, and environments
Proficiency in Azure AD incl. apps registration, and authentication flows (OBO, Client Credentials)
Nice to have
AWS CDK, Azure Dev Ops (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 (Gx P)
