Rethink recruit
OpenEvidence is transforming how healthcare providers access and apply medical knowledge using AI. Founded in 2021 and backed by top-tier investors, we've recently closed our Series B, raising over $100M at a $3B valuation. With a team of 28 and growing, we're building the future of medical intelligence-and we're doing it with urgency, precision, and ambition.
The Role We're hiring a
Senior Infrastructure Engineer
to join our Core Engineering team. This is a high-impact role focused on scaling, securing, and optimizing the infrastructure behind our medical AI platform. You'll help design and operate the backbone of systems used daily by clinicians across the country.
You'll work closely with engineering leadership and own the infrastructure layer-from cloud orchestration to CI/CD, from compliance-grade reliability to blazing-fast deployment cycles. The role combines deep backend expertise with meaningful autonomy to make architectural decisions that directly influence how modern medicine is delivered.
What You'll Do
Design, implement, and operate high-reliability backend services and APIs Maintain and optimize infrastructure resources-databases, caches, load balancers Build and troubleshoot CI/CD pipelines and DevOps workflows Lead infrastructure decisions related to security, compliance, observability, and reliability Operate mission-critical services in production (including participation in an on-call rotation) Collaborate with software engineers, ML engineers, and product designers to align backend systems with platform needs Contribute to product direction by translating company goals into technical roadmaps What We're Looking For
5-10+ years of experience building and operating cloud-native systems at scale Proven experience designing infrastructure for large-scale, production-grade platforms Proficiency in Python, Google Cloud Platform (GCP), and Terraform Working knowledge of Docker, CI/CD systems, and infrastructure-as-code best practices Familiarity with Django, Django REST Framework, and Postgres is a plus Experience with MLOps and LLMOps workflows is a strong bonus Strong preference for candidates with prior experience in high-growth startups or big tech infrastructure teams BS in Computer Science or equivalent practical experience
The Role We're hiring a
Senior Infrastructure Engineer
to join our Core Engineering team. This is a high-impact role focused on scaling, securing, and optimizing the infrastructure behind our medical AI platform. You'll help design and operate the backbone of systems used daily by clinicians across the country.
You'll work closely with engineering leadership and own the infrastructure layer-from cloud orchestration to CI/CD, from compliance-grade reliability to blazing-fast deployment cycles. The role combines deep backend expertise with meaningful autonomy to make architectural decisions that directly influence how modern medicine is delivered.
What You'll Do
Design, implement, and operate high-reliability backend services and APIs Maintain and optimize infrastructure resources-databases, caches, load balancers Build and troubleshoot CI/CD pipelines and DevOps workflows Lead infrastructure decisions related to security, compliance, observability, and reliability Operate mission-critical services in production (including participation in an on-call rotation) Collaborate with software engineers, ML engineers, and product designers to align backend systems with platform needs Contribute to product direction by translating company goals into technical roadmaps What We're Looking For
5-10+ years of experience building and operating cloud-native systems at scale Proven experience designing infrastructure for large-scale, production-grade platforms Proficiency in Python, Google Cloud Platform (GCP), and Terraform Working knowledge of Docker, CI/CD systems, and infrastructure-as-code best practices Familiarity with Django, Django REST Framework, and Postgres is a plus Experience with MLOps and LLMOps workflows is a strong bonus Strong preference for candidates with prior experience in high-growth startups or big tech infrastructure teams BS in Computer Science or equivalent practical experience