Platform Engineer

We are seeking a skilled Data/Cloud Engineer to provide platform-side support and pipeline standardization for advanced Causal Biology research.

In this role, you will enable scientific teams to use the Omics Workbench platform effectively, optimize data pipelines, diagnose complex cloud-level issues, and contribute to AI/ML-assisted pipeline development workflows.

Key Responsibilities

• Platform Enablement: Provide platform-level support that enables scientific teams to effectively use the Omics Workbench and standardize data-processing pipelines.
• Pipeline Standardization: Enforce architectural standards, best practices, and reusable design patterns across biology-focused data pipelines.
• Troubleshooting & RCA: Investigate, diagnose, and resolve pipeline and platform-level incidents; conduct Root Cause Analysis (RCA) with scientific and cloud teams.
• AI/ML Pipeline Integration: Contribute to developing, documenting, and iteratively improving processes for pipelines generated, reviewed, and released using AI/ML tools.
• Platform Capabilities: Support adjacent cloud-platform capabilities to enhance analytical research workflows as capacity permits.

Requirements (Must-Have)

• Strong, demonstrable experience writing production-quality Python code, including unit testing and code review practices.
• Solid hands-on experience building and managing cloud infrastructure and services on GCP.
• Practical experience developing, debugging, and optimizing data or analytical pipelines in cloud environments.
• Excellent verbal and written English communication skills for direct, independent engagement with research scientists and project stakeholders.