Software Engineer, Site Reliability

Posted Yesterday
2 Locations
In-Office or Remote
Mid level
Software
Organizing and expanding the world’s medical knowledge and making it more useful.
The Role
Build and harden mission-critical infrastructure for a medical AI platform. Improve reliability, performance, and efficiency through SRE practices: observability, SLOs, automation to reduce toil, and robust on-call and incident response processes. Own cross-product infrastructure work and deliver production-grade outcomes.
Summary Generated by Built In
Role

As a Software Engineer working on Site Reliability at OpenEvidence, you will build and harden the mission-critical infrastructure powering our medical AI platform used by healthcare providers worldwide. You will apply an SRE mindset to improve systemic health, performance, and efficiency, reducing toil, strengthening observability, and defining robust service objectives across services and data platforms. You will ensure our on-call processes and incident response are seamless and effective.

We hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact.

About Us

OpenEvidence is the most widely used medical AI platform in the world.

In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.

If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.

Culture

We believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.

Who are you?

If you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you.

The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.

Skills Required

  • SRE mindset and experience improving system reliability, performance, and efficiency.
  • Experience defining and tracking service level objectives (SLOs) and observability.
  • Experience building and operating mission-critical production infrastructure.
  • Experience with incident response and on-call processes.
  • Proven ability to reduce operational toil through automation.
  • Ability to own work across products and operate autonomously in fast-paced environments.
  • Experience with data platforms or infrastructure supporting AI/ML workloads.
  • Strong problem-solving, high ownership, and effective cross-functional collaboration.
Am I A Good Fit?
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The Company
HQ: Cambridge, MA
Year Founded: 2021

What We Do

Launched during the Mayo Clinic Platform Accelerate program, backed by Sequoia, and an official content partner of the New England Journal of Medicine, OpenEvidence is the world’s leading medical information platform.

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