Devops engineer [h1.location_city]

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.