Senior Software Engineer, System Infrastructure #3433

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com.

GRAIL is seeking a Senior Software Engineer in our Systems Infrastructure team, where you'll play a pivotal role in developing large-scale computation platforms designed to handle petabytes of biological sequence data that is essential to our groundbreaking products in early cancer detection. This role is located in Menlo Park, Ca. with a hybrid work environment. 

We develop tools and libraries aimed at rapidly iterating novel algorithms and analyses, focusing on large-scale efficiency, robustness, reproducibility, approachability, and composability. We focus on different aspects at different times, but these are all important to us:

Large scale: Manage and process many petabytes of biological sequence data, engaging thousands of processors simultaneously.  Efficiency: Test ideas rapidly and cost-effectively, enhancing our ability to explore numerous concepts.  Robustness: Ensure users focus on scientific goals rather than computing cluster status.  Reproducibility: Maintain deterministic and reproducible scientific analysis processes and results.  Approachability: Make powerful distributed computing tools accessible to those unfamiliar with them.  Composability: Enhance tool power by enabling their combined use.

Responsibilities

• Design and develop robust, scalable, and efficient software systems for large-scale computation in cancer detection while adhering to security and compliance practices.
• Utilize GRAIL tools and libraries we develop to iterate quickly on novel algorithms and analyses.
• Work in a multi-disciplinary environment, ensuring software quality and operational excellence through rigorous testing and code reviews.
• Contribute to open-source projects like Reflow, enhancing our distributed, incremental data processing capabilities.

Preferred Qualifications

• Ideal candidate will have a BS/BA and 5+ years or a Masters and 2+ years of experience
• Proficiency in building and supporting highly scalable systems on AWS.
• Strong expertise in general-purpose programming languages such as Go, Python, Java, or JavaScript.
• Experience with distributed computing concepts like cluster computing, caching, and fault tolerance.
• Exceptional logical reasoning and analytical skills.
• A detail-oriented approach in communication and engineering practices.
• Experience designing simple, secure software solutions.
• Strong written and verbal communication skills.
• Additional skills highly preferred
• Experience with GRPC
• Experience with Infrastructure as Code (Terraform)
• Experience with Gitlab CI/CD pipelines
• Familiarity with next-generation sequencing, computational biology, or related fields.