GRAIL is seeking a Senior Staff Software Engineer to lead the Systems Infrastructure team, which develops highly-scalable software systems for ingesting, analyzing, and managing large amounts of genomics data.

We pride ourselves on building effective, efficient, easy to use and scalable software systems to address GRAIL’s many computational and automation related challenges.

Each team member has ownership of the quality of our products from design, through implementation, testing and production. We review code before check-in, have thorough unit and integration tests, continuous integration and reproducible production deployments that we jointly operate.

The Systems Infrastructure team works at the intersection of genomics, software engineering, and infrastructure. We write software that ingests terabytes of genomics data every day. We build a platform that analyzes this data (including the Reflow programming language). We develop tools for rapid iteration on novel algorithms and analyses. We develop applications for long-term storage and management of petabytes of data. We work on large, cross-functional projects that improve GRAIL’s entire software organization.

This is a hybrid role and requires you to be onsite 2 days a week in Menlo Park, CA

Responsibilities

• Technical Leadership for GRAIL’s Systems Infrastructure team

• Lead full life-cycle development of team projects from requirements gathering to completion

• Leading and contributing to design and code reviews

• Ensuring proper test coverage and observability of the platform

• Collaborate cross-functionally with R&D, LIMS and other stakeholders to understand their infrastructure needs

• Ensure the platform meets security, regulatory and compliance standards

• Mentoring junior team members

Preferred Quaifications

• Ideally your background will include 12+ years of experience in software development (10 years with an MS degree; 7 years with a PhD).

• Experience with distributed computing: cluster computing, caching, system design, fault-tolerance, high availability (HA)

• Experience of developing highly-scalable systems on AWS.

• Excellent knowledge of some general purpose programming languages, e.g. Go, Python, etc.

• A portfolio of large, complex cross-functional projects.

• Full life cycle software development

• Excellent logical reasoning and analytical skills.

• Demonstrated effective written and verbal communication skills.

• Experience as a mentor and a team lead.

• Experience working in highly regulated sectors is desirable.

• Experience with machine learning is a plus.

The expected, full-time, annual base pay scale for this position is $210,000 -$250,000. Actual base pay will consider skills, experience, and location.