Infrastructure Engineer

As a key member of OpenEvidence's Core Engineering team, you'll build mission-critical infrastructure powering our medical AI platform used by healthcare providers worldwide. This role combines exceptional technical scope with direct impact – you'll join our talented backend team in architecting and scaling our infrastructure ecosystem, from service reliability to data platforms. You'll have significant autonomy to make architectural decisions and drive initiatives across performance optimization, infrastructure design, security, and data pipelines handling sensitive medical data at scale. We're looking for a backend expert who thrives in a focused startup environment where technical excellence meets rapid iteration. You'll work directly with engineering leadership to translate business objectives into elegant technical solutions. The ideal candidate has a proven track record of building and scaling production systems, thinks deeply about system design, and is energized by the challenge of building healthcare infrastructure that must be both highly innovative and extremely reliable.

Responsibilities

• Design, implement, and operate new backend services and APIs

• Develop and troubleshoot CI/CD pipelines

• Maintain and optimize key backend resources, such as databases, caches, and load balancers

• Own and operate key backend production services

• Institute technological and operational processes to improve site reliability

• Contribute to ongoing company product discussions

• Coordinate with fellow software engineers, ML engineers, and product designers to determine and execute on platform requirements

• On-call escalation (about one week per month, daylight only)

Candidate Qualifications

• B.S. or higher in computer science or related major

• 4+ years of software engineering experience

• High proficiency building and operating backend services at scale

• High proficiency architecting cloud-native backend services

• High proficiency with terraform or similar IaC tooling

• Moderate proficiency with DevOps tooling such as Docker and python/javascript packaging

• Moderate proficiency with Python

• Understanding of database systems, distributed systems, safe parallelism

• Motivation, drive, and ability to operate independently

• Experience with Google Cloud, Django, Django REST Framework, Postgres is a plus

• Experience with MLOps and LLMOps is a plus

Location:

• Miami, FL (on-site, 3+ days per week)