Team Summary
Our platform manages over 125 petabytes of data, processes 50 billion records, and handles 3 billion API calls monthly. With thousands of users depending on us, there is a clear imperative to leverage powerful frontier LLM models and execute on DNAnexus’ Agentic Platform. The platform enables agent-based systems to provide clinical and molecular data workflows in a highly scalable and regulated (PHI) environment. The goal is to enable more intelligent, automated, and reliable execution of complex scientific data processes in the cloud.
Who We’re Looking For
We are seeking a highly autonomous and product-minded Senior Software Engineer. This critical role requires robust technical skills in software development and data management and a willingness to learn about molecular data and bioinformatician workflows.
- Product minded/agile mindset is required for the position - knowing that the optimal solution may evolve within six months due to the rapidly changing AI ecosystem.
- Strong understanding of modern LLM techniques and AI harness principles combined with experience in deploying them within production environments
- Backend generalist navigating technical ambiguity with a flexible, learning-oriented approach.
Responsibilities
- Design, build, and maintain scalable clinical and molecular data systems
- Develop cloud-native infrastructure for large-scale biomedical workloads
- Contribute to AI/agent-based systems for scientific and clinical workflows
- Apply LLMs and AI primitives in production within regulated environments (PHI)
- Ensure high reliability, performance, and quality of delivered systems
- Collaborate with global engineering teams (including US-based counterparts)
- Drive engineering best practices (testing, CI/CD, observability, delivery discipline)
- Evaluate and select technologies in a rapidly evolving AI ecosystem