About The Position

DNAnexus is seeking a highly autonomous and product-minded Staff 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. We’re looking for a proactive person who is able to lead product engineering initiatives inside a cross-functional team and collaborate on them with others. Product minded/agile mindset is required for the position - ability to find right compromise between road-to-market delivery and necessary quality for long-term product. Backend generalist navigating technical ambiguity with a flexible, learning-oriented approach. Experience architecting high-performance solutions with relational SQL-like database systems.

Requirements

  • 5+ years of software development experience.
  • Track record of natural leadership in cross-functional teams.
  • Ability to lead initiatives while still being hands-on engineer, collaborate with others, share responsibility and have a strong team mindset.
  • Proficiency in core development tools: Python (occasionally TypeScript), SQL, Kubernetes.
  • Proficiency in utilizing AI-powered development tools (e.g., Claude Code, GitHub Copilot) to accelerate coding, debugging, and testing workflows, while maintaining a critical eye for code quality, security, and adherence to established engineering principles.
  • 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.

Nice To Haves

  • Willingness to learn about molecular data and bioinformatician workflows.
  • Product minded/agile mindset is required for the position - ability to find right compromise between road-to-market delivery and necessary quality for long-term product.
  • Backend generalist navigating technical ambiguity with a flexible, learning-oriented approach.
  • Experience architecting high-performance solutions with relational SQL-like database systems.

Responsibilities

  • Design, build, and maintain scalable clinical and molecular data systems
  • Develop cloud-native infrastructure for large-scale biomedical workloads
  • Ensure high reliability, performance, and quality of delivered systems
  • Collaborate with global engineering teams (including US-based counterparts)
  • Drive agile engineering best practices (testing, CI/CD, observability, delivery discipline)
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