DevOps Engineer

AI DevOps Engineer Job Summary

Location: South San Francisco CA Onsite 3 days/week

Role Impact & Expectations:
Join Genentech s Early Clinical Development (ECD) team as an AI DevOps Engineer. This role directly shapes the next generation of clinical data platforms and AI-driven solutions enabling innovative automation and impactful insights within clinical research. You will collaborate with diverse experts develop robust cloud infrastructure and deploy cutting-edge generative AI applications accelerating scientific discovery and clinical operations.

Key Responsibilities:

- Design develop and deploy scalable software for AI/ML-powered clinical data solutions.
- Build and maintain CI/CD pipelines ensuring reliable and secure deployment of AI-enhanced applications.
- Integrate AI/LLM capabilities (e.g. chatbots RAG systems) into clinical applications.
- Maintain and optimize cloud infrastructure (AWS EKS RDS EC2) and containerized environments (Docker Kubernetes).
- Implement Infrastructure as Code (Terraform CloudFormation) and GitOps workflows (Argo CD).
- Monitor systems using observability tools (Prometheus Grafana ELK stack) and ensure high reliability.
- Collaborate cross-functionally with data scientists engineers and product managers to deliver seamless AI solutions.
- Apply security best practices compliance frameworks and incident management protocols.
- Stay current with AI DevOps and cloud trends; evaluate new technologies for continuous improvement.
- Write clean code contribute to documentation and participate in code reviews.




Recruiter Insights:

- Strategic Position: Influences the digital transformation of clinical research through advanced AI and automation.
- Competitive Edge: Work with modern stacks (AWS Kubernetes Terraform FastAPI) and collaborate with leading AI scientists and developers.
- Innovation Focus: Engage with state-of-the-art generative AI LLMs and real-world healthcare applications.
- Skill Development: Exposure to full stack cloud and AI/ML technologies in a high-impact mission-driven environment.
- Attractive to Candidates with experience in AI-powered automation cloud infrastructure and regulated environments.
- Preferred Skills: Experience with Huggingface Langchain TensorFlow PyTorch DevSecOps and clinical NLP is valued but not mandatory.

Candidate Insights:

- Make a Difference: Directly impact healthcare and patient outcomes through AI-driven solutions.
- Collaborative Culture: Work alongside multi-disciplinary teams of scientists engineers and clinicians.
- Modern Tech Stack: Hands-on with cloud-native containerized and AI-powered systems.
- Continuous Learning: Stay at the forefront of generative AI and infrastructure automation.
- Work-Life Balance: Hybrid work structure located in a premier biotech hub.
- Competitive Compensation: Strong benefits and professional growth opportunities.

This is a unique opportunity for those passionate about AI DevOps and healthcare innovation to join a visionary team advancing clinical science.