Sr. Software Engineer, Agentic platform
Company Description:DNAnexus is the leading cloud-based SaaS company serving the global life science community. DNAnexus’ health informatics platform serves customers across a spectrum of industries — government, biopharmaceutical, clinical diagnostics, healthcare, and academic research in 33 countries with compliant protection of data, privacy, and intellectual property. The platform provides a secure and collaborative environment where genomics, multi-omics, and real world data can be combined with clinical data at scale, providing new insights that can lead to improved diagnostics, new targeted therapies and better patient care.Job Description:Team SummaryOur 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 ForWe 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 environmentsBackend generalist navigating technical ambiguity with a flexible, learning-oriented approach.ResponsibilitiesDesign, build, and maintain scalable clinical and molecular data systemsDevelop cloud-native infrastructure for large-scale biomedical workloadsContribute to AI/agent-based systems for scientific and clinical workflowsApply LLMs and AI primitives in production within regulated environments (PHI)Ensure high reliability, performance, and quality of delivered systemsCollaborate 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 ecosystemQualifications:5+ years of software development experience.Proficiency in core development tools: Python (occasionally TypeScript), Linux Shell, Bash, Git, Docker, and SQL.Ability to assess and select the right technology for the Agentic platform, keeping pace with an ecosystem that changes every six months.Nice to Have: Proven experience designing and/or implementing Agentic systems.Proficiency in computing fundamentals, including cloud computing (e.g., AWS).Experience in data modeling, with an understanding of database management systems.Experience in executing the end-to-end software development lifecycle, including agile delivery, automated testing, CI/CD, and continuous process improvement.Additional Information:Based in Mountain View, California, DNAnexus is experiencing rapid growth and is searching for the best talent to join our team. We recently completed a $200 million financing round to advance our growth globally to further serve leading healthcare and life science organizations. Key investors include Google Ventures, Perceptive Advisors, Northpond Ventures, TPG Biotech, and Foresite Capital. DNAnexus will provide the necessary support to enable the ideal candidate to work remotely within the Czech Republic.