DevOps EngineerTechOne Staffing • South San Francisco, California, USA

DevOps Engineer

TechOne Staffing • South San Francisco, California, USA

[job_card.variable_days_ago]

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[job_card.full_time]

[job_card.job_description]

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.

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Experience : years

Vacancy : 1

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