Senior Site Reliability Engineer

Reposted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
200K-240K Annually
Senior level
Artificial Intelligence • Healthtech • Software
Building the AI layer for healthcare - powered by large language models.
The Role
Design, build, and maintain secure and scalable infrastructure for critical healthcare applications, lead incident responses, and support engineering teams.
Summary Generated by Built In

About us

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

We’re seeking exceptional engineers to join as early members. Together, we will create the AI layer that will redefine healthcare for the better.

Here’s a collection of articles about our product, mission, recent funding round, etc.

Job Description

We’re hiring an experienced Site Reliability Engineer for our Boston or NYC office!

You can expect to:

  • Design, build, and maintain resilient, scalable, and secure infrastructure to support critical healthcare applications.
  • Develop and implement automation for provisioning, scaling, monitoring, and security of cloud-native systems.
  • Collaborate closely with engineering teams to optimize system performance, reliability, and developer workflows.
  • Lead incident response, root cause analysis, and postmortem processes to ensure continuous improvement.
  • Cultivate a robust engineering and product culture that drives the company forward.

We look for:

  • 5-7+ years of experience in DevOps, SRE, or infrastructure engineering roles, preferably in cloud-native environments (we run on GCP).
  • Expertise in IaC tooling (e.g., Terraform, Helm), CI/CD pipelines, Kubernetes, and monitoring tools (e.g., Prometheus, Grafana).
  • Proficiency in one or more scripting/programming languages such as Python, Go, or Bash.]
  • A strong communicator who thrives in a customer-focused, fast-paced environment.
  • A proactive problem-solver with a strong sense of ownership and the ability to work independently.
  • An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.
  • We expect engineers to meet regularly in-person in our Boston or NYC offices.

Join us and help us transform healthcare with AI.

Layer Health is committed to foster an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Expected compensation range for this role is $200,000-240,000 for Boston and NYC-based candidates; range may vary for candidates outside of the Boston/NYC metro area. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.

Top Skills

Bash
GCP
Go
Grafana
Helm
Kubernetes
Prometheus
Python
Terraform
Am I A Good Fit?
beta
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The Company
33 Employees
Year Founded: 2023

What We Do

Layer Health is a healthcare AI company spun out of MIT and backed by GV (Google Ventures), Define Ventures, Flare Capital Partners, General Catalyst, MultiCare Health System and Froedtert Health. We are solving the information problem in healthcare.

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