DevOps EngineerTechOne Staffing • South San Francisco, California, USA
DevOps Engineer
TechOne Staffing • South San Francisco, California, USA
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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. 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.
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 :
Candidate Insights :
This is a unique opportunity for those passionate about AI DevOps and healthcare innovation to join a visionary team advancing clinical science.
Key Skills
ASP.NET,Health Education,Fashion Designing,Fiber,Investigation
Employment Type : Full Time
Experience : years
Vacancy : 1
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