Taro Logo

Staff SW Engineer, DevOps/MLOps

Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients through their healthcare platform.
$180,000 - $220,000
DevOps
Staff Software Engineer
Remote
4+ years of experience
Healthcare · AI

Job Description

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.

Last updated 3 days ago

Responsibilities For Staff SW Engineer, DevOps/MLOps

  • Architect and implement robust, scalable ML infrastructure
  • Develop and maintain ML model serving and orchestration platforms
  • Design and optimize ETL/ELT pipelines for ML applications
  • Implement MLOps best practices
  • Leverage cloud computing resources and container orchestration
  • Develop advanced monitoring systems
  • Collaborate with privacy and security teams
  • Work closely with software engineers and data scientists
  • Stay current on engineering and ML infrastructure trends

Requirements For Staff SW Engineer, DevOps/MLOps

Python
Kubernetes
  • Background in Production Distributed Systems
  • 4+ years of experience in machine learning infrastructure
  • Deep understanding of ML pipeline orchestration
  • Hands-on experience with cloud ML platforms
  • Proficiency in Python, SQL, and infrastructure-as-code
  • Experience with distributed data processing frameworks
  • Strong background in Docker, Kubernetes, CI/CD
  • Knowledge of security and compliance best practices
  • Strong problem-solving and collaboration skills

Benefits For Staff SW Engineer, DevOps/MLOps

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Equity
Parental Leave
401k
  • Competitive health, dental, and vision insurance
  • Mental health support through Spring Health
  • Equity package
  • Unlimited paid time off (PTO)
  • 16 weeks of paid parental leave
  • Flexible work options
  • Company-paid life insurance
  • Company-paid short-term and long-term disability coverage
  • One Medical membership
  • 401(k) plan with company match

Related Jobs