Responsible for building the cloud compute infrastructure for our clinical diagnostic workflows.
Need to work with the bioinformatics team to automate R&D pipelines and transfer software into a regulated, production environment.
Experience in modern cloud infrastructure and building backend services that satisfy business standards.
Experience in SWE, emphasis with building modern cloud infrastructures with Google Cloud Platform or AWS
Expertise in: Python, Git, Kubernetes, containerization (e.g. Docker), infrastructure as code (e.g. Terraform), and workflow orchestration (e.g. SnakeMake, NextFlow)
Design, build and maintain our cloud-based computing and data services
Establish and disseminate practices for Software Development Life Cycle (SDLC), including source code management & continuous integration/deployment (CI/CD)
Collaborate with the bioinformatics team to transition R&D pipelines into production, including LIMS integration.
Develop tools to facilitate R&D experimentation.
Work closely with quality/regulatory departments to meet appropriate information security and laboratory standards, including writing user documentation.
Communicate your plans and work to both engineers and general audiences.
Lead by training fellow engineers, participating in design discussions & code reviews and identifying new technologies to keep Foresight at the forefront of clinical diagnostics.
Good to have experience with next-generation sequencing (NGS) data pipelines and bioinformatics tools, working in a regulatory environment (CLIA, IVD dev) and experience with mentoring and coaching.