Paradigm Health is seeking a Staff Software Engineer specializing in DevOps and MLOps to enhance their clinical research platform. This role combines advanced ML infrastructure development with core DevOps practices, focusing on building scalable systems that power intelligent clinical trial solutions.
The position offers an opportunity to work at the intersection of healthcare technology and machine learning, where you'll be responsible for designing and implementing robust ML infrastructure that supports large-scale data processing, model training, and deployment. You'll play a crucial role in optimizing both software and ML infrastructure, enabling rapid prototyping and development of products that aim to make clinical trials more accessible to patients.
As a Staff Engineer, you'll lead initiatives in MLOps best practices, implement production SRE practices, and work with cloud platforms and containerization technologies. The role involves collaboration with cross-functional teams, including software engineers, data scientists, and ML engineers, while also contributing to security and compliance measures essential in healthcare technology.
The company offers a competitive compensation package ($180,000 – $220,000) and comprehensive benefits, including health insurance, equity, unlimited PTO, and flexible work arrangements. This remote position provides an opportunity to make a meaningful impact in healthcare while working with cutting-edge ML and DevOps technologies.
Ideal candidates will bring 4+ years of ML infrastructure experience, strong distributed systems knowledge, and expertise in cloud platforms, containerization, and automation. The role requires both technical excellence and the ability to mentor junior engineers while working in a mission-driven environment focused on improving patient access to clinical trials.