DevOps Engineer

Job Title: DevOps/Infrastructure Engineer

Duration: 12 Months

Location: South San Francisco, CA 94080

(LOCAL CANDIDATES PREFERRED)

The Opportunity:

• Innovate and develop software applications to support clinical development
• Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.
• Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.
• Code Quality and Documentation: Write clean, maintainable, and well- documented code. Participate in code reviews and contribute to best practices in software development.
• Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.

Who You Are:

• An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor.
• Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.
• Someone with experience in the automation and speed up of the software development lifecycle.
• Someone who brings additional skills to the software development process like test automation, deployment maintenance, or ML model deployment/monitoring.

Minimum Requirements:

• Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
• 2+ years experience with front-end frameworks (preferably Vue.js)
• 2+ years of developing and deploying AI/ML solutions or applications
• Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
• Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
• 3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS, EC2).
• Experience with caching and data store technologies like Redis.
• Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions).
• Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and GitOps (Argo CD).
• Experience with monitoring and observability tools (Portkey, Prometheus, Grafana, ELK stack).
• Experience with cloud data warehousing / analytics platforms (e.g., Snowflake, BigQuery, Redshift).
• Knowledge of system administration, particularly with Linux.
• Experience with security best practices and compliance frameworks.
• Strong incident management and root cause analysis skills.
• Familiar with Agile methodologies
• Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
• Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Extensive experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).
• Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)

Preferred Qualifications:

• Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.
• Experience with microservices architecture and managing distributed systems.
• Experience with DevSecOps practices and security scanning tools.
• Experience with database administration and management, including performance tuning, backups, and disaster recovery.
• Experience with cloud cost optimization strategies, performance engineering, and application optimization.
• Experience with test automation e.g. Playwright
• Familiarity with CRDT technologies like Yjs.
• Experience with using NLP/LLMs on clinical text.
• Basic knowledge of clinical drug development