DevOps Engineer
Listed on 2026-01-06
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IT/Tech
AI Engineer, Systems Engineer
Dev Ops Engineer
Introduction:
NO SUB-CONTRACTING !!! DIRECT W/2’S ONLY ! BE LOCAL TO BAY AREA AND ABLE TO BE ONSITE 3 DAYS A WEEK
Our direct long term client, Early Clinical Development (ECD) department is seeking a talented and motivated Dev Ops Engineer to join the Clinical Data Insights & Automation team (CDI&A). The CDI&A team collaborates with various stakeholders involved in the clinical development process to develop industry-leading solutions for complex business problems. The Dev Ops Engineer will play a key role in designing, developing, and deploying software that interacts with cutting-edge generative AI models and applications, impacting our ability to deliver innovative solutions leveraging AI technology.
Responsibilities:
- Innovate and develop software applications to support clinical development
- Integrate AI/LLM capabilities to enhance data processing and workflows
- Develop and maintain deployment pipelines for AI-enhanced applications
- Write clean, maintainable, and well-documented code
- Stay up-to-date with advancements in generative AI and machine learning
- Collaborate with cross-functional teams to integrate AI capabilities into products and services
Requirements:
Minimum Requirements:- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field
- 2 years of experience with front-end frameworks (preferably Vue.js) and back-end web frameworks in Python and/or Java Script
- 2 years of developing and deploying AI/ML solutions or applications
- Experience designing and developing RESTful APIs
- Proficiency with containerized workflows and architectures (e.g., Docker, Kubernetes)
- 3 years of Dev Ops experience with cloud platforms, especially AWS
- Experience with CI/CD pipelines and automation tools
- Proficiency in Infrastructure as Code tools and Git Ops
- Experience with monitoring and observability tools
- Knowledge of system administration, particularly with Linux
- Experience with security best practices and compliance frameworks
- Strong incident management and root cause analysis skills
- Excellent analytical and problem-solving skills
- Strong interpersonal and communication skills
- Experience with Huggingface, Tensor Flow, PyTorch, or similar
- Experience with microservices architecture and distributed systems
- Experience with Dev Sec Ops practices and security scanning tools
- Experience with database administration and management
- Experience with cloud cost optimization strategies and performance engineering
- Experience with test automation tools
- Knowledge of NLP/LLMs and CRDT technologies
- Basic knowledge of clinical drug development
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