Infrastructure Engineer

DevOps / Infrastructure Engineer

South San Francisco, CA (On-site 3 days/week)

The Opportunity

As a DevOps / Infrastructure Engineer, you will:

• Innovate and Build:
  Design and develop software applications that support clinical development workflows.
• AI Enablement:
  Identify and integrate AI and large language model (LLM) capabilities to enhance data processing and user workflows.
• Deployment & Monitoring:
  Build and maintain robust CI/CD pipelines for AI-enabled applications; monitor production systems and continuously improve performance, reliability, and scalability.
• Code Quality & Documentation:
  Write clean, maintainable, and well-documented code; participate in code reviews and establish engineering best practices.
• Research & Innovation:
  Stay current with advancements in generative AI and machine learning; evaluate emerging tools and approaches to improve solutions.
• Cross-Functional Collaboration:
  Work closely with data scientists, engineers, and product managers to integrate AI capabilities into products and services.

Who You Are:

• An experienced engineer who can contribute as both a technical leader and hands-on individual contributor.
• Knowledgeable about the current AI and generative AI ecosystem, including benefits, limitations, and best practices.
• Skilled in accelerating and automating the software development lifecycle.
• Comfortable owning infrastructure, deployment, monitoring, and operational excellence.
• A strong communicator who can explain complex technical concepts to non-technical stakeholders.

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong proficiency with at least one front-end framework preferred; React or similar acceptable).
• Strong experience with backend frameworks in Python and/or JavaScript (e.g., FastAPI, Django, Flask, ).
• 2+ years of experience with modern front-end frameworks.
• 2+ years of experience developing and deploying AI/ML-powered applications.
• Experience designing and implementing RESTful APIs (e.g., with FastAPI).
• Proficiency with containerized architectures (Docker, Podman, Kubernetes).
• 3+ years of DevOps experience on AWS, including services such as EKS, RDS, and EC2.
• Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions).
• Proficiency in Infrastructure as Code (Terraform, CloudFormation) and GitOps (Argo CD).
• Experience with caching and data stores (e.g., Redis).
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack, Portkey).
• Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift)
• Strong Linux system administration skills.
• Experience with security best practices and compliance frameworks.
• Strong incident management and root cause analysis skills.
• Familiarity with Agile development methodologies.
• Excellent analytical, problem-solving, and collaboration skills.
• Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications.

Preferred Qualifications

• Experience with AI/ML frameworks and tooling (Hugging Face, LangChain, TensorFlow, PyTorch).
• Experience designing and operating microservices and distributed systems.
• Familiarity with DevSecOps practices and security scanning tools.
• Experience with database administration, performance tuning, backups, and disaster recovery.
• Experience with cloud cost optimization, performance engineering, and application optimization.
• Experience with test automation tools such as Playwright.
• Familiarity with CRDT technologies (e.g., Yjs).
• Experience applying NLP and LLMs to clinical or biomedical text.
• Basic understanding of clinical drug development.