Member of Technical Staff

Role Overview

We're representing a fast-growing AI healthcare infrastructure startup transforming clinical administration through intelligent automation. The company is entering a major scale-up phase following significant enterprise customer growth and recent funding. Their engineering organization is still small and highly technical, creating an opportunity for engineers to own systems end-to-end while shaping the architecture and reliability of a rapidly growing platform.

What You Will Do

Design and build backend services, APIs, and data pipelines that power AI-driven healthcare workflows. Work across the stack when needed, contributing to infrastructure, backend systems, and frontend applications. Build and improve LLM-powered systems, including evaluations, monitoring, and reliability tooling.

Why It Might Be a Fit

Ideal Background: 1–7 years of professional software engineering experience with strong engineering fundamentals. Experience working at companies known for strong engineering culture and technical rigor. Background in one of the following areas: infrastructure/SRE, backend platform engineering, data engineering, or full-stack engineering with a backend lean.

Requirements

• 1–7 years of professional software engineering experience
• Strong engineering fundamentals
• Experience working at companies known for strong engineering culture and technical rigor
• Background in infrastructure/SRE, backend platform engineering, data engineering, or full-stack engineering with a backend lean
• Experience building production APIs, distributed systems, or data pipelines
• Strong understanding of cloud infrastructure and scalable system architecture
• Demonstrated ownership of systems end-to-end, from design through production support
• Strong communication skills and ability to collaborate cross-functionally with technical and non-technical stakeholders

Benefits

• Competitive equity package
• Visa sponsorship available
• Highly collaborative engineering culture with strong ownership and fast iteration cycles
• Significant influence over platform architecture and system design during rapid company growth
• Exposure to cutting-edge AI, distributed systems, and healthcare infrastructure problems