Platform Engineer, AI-Driven Data Pipelines & GCP
Link Group
Schick keinen Standard-Lebenslauf — erstelle einen Lebenslauf und ein Anschreiben, die genau auf diese Rolle zugeschnitten sind.
Zusammenfassung
Link Group seeks a Data/Cloud Engineer to provide platform-level support for the Omics Workbench in a global biopharmaceutical setting. You will standardize pipelines, diagnose cloud-level issues, and contribute to AI/ML-assisted pipeline development for advanced Causal Biology research.
The role focuses on enabling scientific teams to leverage cloud infrastructure on Google Cloud Platform, improving data pipelines, and collaborating with research scientists and stakeholders worldwide.
Qualifikationen
- Proficient in writing production-quality Python code with unit tests and code reviews.
- Solid hands-on experience building and managing cloud infrastructure on GCP.
- Experience in developing, debugging, and optimizing data or analytical pipelines in cloud environments.
- Excellent verbal and written English communication with research scientists and stakeholders.
Aufgaben
- Platform Enablement: Provide platform-level support enabling scientists to utilize 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 with RCA in collaboration with cloud teams.
- AI/ML Pipeline Integration: Contribute to development, documentation, and iterative improvement of AI/ML-assisted pipeline workflows.
Kenntnisse
Tools
Jobbeschreibung
Link Group seeks a Data/Cloud Engineer to provide platform-level support for the Omics Workbench in a global biopharmaceutical setting. You will standardize pipelines, diagnose cloud-level issues, and contribute to AI/ML-assisted pipeline development for advanced Causal Biology research.
The role focuses on enabling scientific teams to leverage cloud infrastructure on Google Cloud Platform, improving data pipelines, and collaborating with research scientists and stakeholders worldwide.
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