Software Engineer, Site Reliability
Join OpenEvidence as a Software Engineer in Site Reliability to enhance the infrastructure of a leading medical AI platform.
Posted by employer 7 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of Software Engineer for Site Reliability at OpenEvidence, the individual will focus on enhancing the infrastructure that supports a leading medical AI platform, ensuring its performance and reliability. Key skills include a strong understanding of SRE principles, observability, and incident response processes. This position is ideal for experienced engineers who thrive in dynamic environments and are eager to take ownership of impactful projects. OpenEvidence's culture emphasizes autonomy and excellence, attracting top talent from prestigious institutions.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from OpenEvidence's career page.
- OpenEvidence has 7 other open roles including Research Scientist, Software Engineer, Data Platform, Security Engineer, Platform Security .
- 1670 active AI roles on Joblaze right now.
- 212 active infrastructure roles on Joblaze right now.
- 27 active SRE roles on Joblaze right now.
- Typical AI salary we track runs $120,000–$199,725 (median $159,900, across 684 roles). See AI salary trends
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, SRE, infrastructure.
- What seniority level is this role?
- OpenEvidence targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Site Reliability role at OpenEvidence.
From the original posting
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.
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