DevOps 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 DevOps 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 DevOps 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 JavaScript
• 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 DevOps experience with cloud platforms, especially AWS
• Experience with CI/CD pipelines and automation tools
• Proficiency in Infrastructure as Code tools and GitOps
• 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

Preferred Qualifications:

• Experience with Huggingface, TensorFlow, PyTorch, or similar
• Experience with microservices architecture and distributed systems
• Experience with DevSecOps 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