Software Engineer, Site Reliability

OpenEvidence Inc.
Miami, FL, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Reliability Engineering AI Platforms Data Management

Job description

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.

Requirements

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.

About the company

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.

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Good distractions

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Data management for stateful cloud-native workloads

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