Senior Infrastructure Software Engineer

Senior Infrastructure Software Engineer - Medical AI Platform

Location: Hybrid - Miami

Compensation: $200,000 – $250,000

We are the world’s leading AI medical information platform, featured by the New England Journal of Medicine and trusted by medical professionals at over 10,000 care centers worldwide. Our mission-critical platform provides accurate, cited, and grounded answers at the point of care. Backed by investors including Sequoia Capital and Mayo Clinic, we are seeking a Senior Infrastructure Software Engineer to build the highly reliable and secure backbone for our medical AI platform.

Joining our Core Engineering team, you will have exceptional technical scope and direct impact, translating business objectives into elegant, scalable technical solutions. This is a hybrid role for a backend expert who thrives in a focused startup environment, owning key infrastructure and driving initiatives across reliability, data, and security, specifically handling sensitive medical data at scale.

Responsibilities:

• Service Ownership: Design, implement, and operate new backend services and APIs, taking full ownership of key backend production services.
• DevOps & Automation: Develop and troubleshoot robust CI/CD pipelines and utilize IaC tooling (e.g., Terraform) to manage and scale infrastructure.
• System Optimization: Maintain and optimize key backend resources, including databases, caches, and load balancers, focusing on performance and site reliability.
• Data Integrity & Security: Contribute to the design of infrastructure and data pipelines that handle sensitive medical data at scale, ensuring compliance and reliability.
• On-Call & Collaboration: Participate in on-call escalation (daylight hours only, about one week per month) and coordinate closely with ML engineers, product designers, and fellow software engineers to execute platform requirements.

Requirements

• Experience: 4+ years of experience as a Senior Infrastructure Software Engineer or Platform Backend Engineer at a growth-stage startup (Series D+) or large-scale tech company.
• Backend Expertise: Proven track record of building and scaling production systems and deep expertise in backend design and operation.
• Infrastructure as Code (IaC): Hands-on experience with IaC tooling (e.g., Terraform) and DevOps tools such as Docker and Python/JavaScript packaging.
• Cloud Proficiency: Strong experience with Google Cloud Platform (GCP) or similar major cloud providers.
• Programming: Proficient in backend languages like Python.
• Mindset: Thinks deeply about system design, thrives in rapid iteration, and is energized by building highly innovative and extremely reliable healthcare infrastructure.

Benefits

• Compensation: Highly competitive salary range of $200,000 – $250,000 (full-time), plus Competitive Equity.
• Location: Hybrid work policy based in our new Miami, Florida office.
• Impact: Build mission-critical AI infrastructure that is actively used by healthcare providers worldwide and cited in leading medical publications (e.g., New England Journal of Medicine).
• Growth: Work directly with engineering and founder leadership who have successful track records building and scaling billion-dollar AI companies.
• Logistics: Visa sponsorship is available for exceptional candidates.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or yo