Senior/Principle Software Engineer, Cloud Infrastructure Patent Attorney

Location
San Francisco Bay Area, California or Boston, MA
Posted
Apr 29, 2022
Required Education
Bachelors Degree
Position Type
Full time

About TenSixteen Bio

TenSixteen Bio is a precision platform therapeutics company that utilizes novel genomic biology to target the complex diseases of aging. TenSixteen was conceived with the idea of leveraging unique data assets and first-in-class computational capabilities to drive new, preventative paradigms in the discovery of medicines.

Role

Executing on TenSixteen’s vision requires a world-class data platform that supports integration and robust, novel analysis of diverse data sets. These include population-scale human genetic datasets, electronic medical records, pre-clinical research data, and research-grade data generated internally. The Senior/Principle Software Engineer, Cloud Infrastructure will help bring this vision to reality by helping to design/build this core platform from the ground up. Along the way you will be working with engineers, machine-learning researchers, and a diverse cast of scientists who are pivotal to the field.

We are looking for engineers with experience in building and maintaining robust, scalable infrastructure in the cloud. We offer a flexible work environment, interesting and ambitious projects, and a best-in-class peer group to learn from, along with generous benefits and equity in TenSixteen. This is a great opportunity to tackle an inspiring set of problems in an engaging and intellectual environment.

Responsibilities

  • Manage cloud-based (AWS) infrastructure with Terraform and custom-built automation.
  • Create and build out core computational infrastructure.
  • Develop infrastructure tools that automate repetitive tasks and enable scalable best practices
  • Design, configure, and maintain metric collection, logging, and alerting to increase observability of systems.
  • Design and manage CI and CD systems.
  • Work with engineers and scientists to manage inputs, intermediates, and results of complex machine-learning pipelines, providing clear provenance and reproducibility for critical scientific decisions

Qualifications

  • BS in computer science, software engineering, or equivalent. 3-5 years experience in infrastructure engineering, site reliability engineering, or an analogous position.
  • Prior exposure to life sciences is valued but not required.
  • Ability to write high-quality code both independently and as part of a team, including experience with industrial software development practices.
  • Proficiency in Python and bash.
  • Experience with infrastructure-as-code practices and tools (e.g., Terraform).
  • Experience managing and deploying Linux infrastructure, databases (e.g, PostgreSQL), and CI/CD tools (e.g. Travis, Jenkins).
  • Deep familiarity with AWS systems, architectures, and cloud-based infrastructure design patterns.