Principal Cloud Engineer

Job Summary

The Principal Cloud Engineer is a pivotal role responsible for designing, implementing, and managing secure, scalable, and resilient cloud infrastructure for the Drug Innovation Platform. This role aims to integrate development, security, and operations (DevSecOps) practices to enhance the platform's ability to innovate rapidly while maintaining high standards of security, compliance, and operational efficiency. The Engineer will collaborate with cross-functional teams to automate workflows, implement robust security measures, and optimize cloud resources to support data-driven drug discovery and development initiatives. This position plays a crucial role in enabling the organization to leverage cloud technologies effectively and securely.

Responsibilities

• Design and implement secure and scalable cloud infrastructure for the Drug Innovation Platform.
• Integrate DevSecOps practices to enhance innovation while ensuring security and compliance.
• Collaborate with cross-functional teams to automate workflows and optimize cloud resources.
• Develop automated quality checks, governance rules, and compliance controls using scripting languages.
• Troubleshoot issues within analytics workflows and automated governance systems.
• Identify and address gaps in data quality, governance, and analytics compliance through code-based solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of hands-on experience in data analytics engineering, data governance, or automation, focusing on "Quality as Code" and "Governance as Code."
• Proven experience in automating data governance processes in a regulated environment (e.g., pharma, biotech, healthcare).
• Certifications: AWS Certified Data Analytics – Specialty, or similar.
• Strong skills in developing automated quality checks, governance rules, and compliance controls using scripting languages (e.g., Python, R) and configuration management tools.
• Knowledge of data visualization platforms, analytics workflows, and cloud data services.
• Familiarity with CI/CD pipelines, automated testing frameworks, and infrastructure as code (IaC).
• Experience with code versioning, code reviews, and building reusable software components.

Preferred Skills

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Experience with cloud service providers beyond AWS (e.g., Azure, Google Cloud).

Experience

• Minimum of 5 years of relevant experience in data analytics engineering, data governance, or automation.

Environment

• Work Type: Full time
• Work Mode: Hybrid
• Job Location: Bangalore

Job Start Date

• August 22, 2025

Job End Date

• September 21, 2025