Senior Site Reliability Engineer
- Boston, MA / Remote · Remote
- Full-time
- $170,000 – $190,000
- Posted
Skills
Job description
Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology.
Beacon Biosignals is seeking a skilled Site Reliability Engineer to join our Platform team, to help ensure the reliability, availability, and security of Beacon's cloud infrastructure that supports large-scale machine learning on terabytes of biosignal data. In this role, you'll be responsible for building and maintaining critical systems, such as the Kubernetes clusters that power our data scientists' hefty distributed numerical workloads, and observability infrastructure that makes it easy for users to monitor, trace, and identify bugs and resource utilization issues.
Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York and Paris.
What success looks like:
What you will bring:
The base salary range for this role is $170,000 – $190,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits.
At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.