Lead Platform Engineer for Healthcare AI

2 weeks ago


Palo Alto, California, United States Qualifiedhealthai Full time

Position Overview:
We are seeking a seasoned Technical Lead / Platform Engineer to spearhead the advancement of our Generative AI platform tailored for the healthcare sector. As a pivotal figure in our initial engineering cohort, you will play a crucial role in defining the system architecture, guiding engineering initiatives, and ensuring the effective rollout of our innovative healthcare AI offerings.

Key Responsibilities:

  • Design and execute the comprehensive architecture of our AI-driven SaaS platform.
  • Oversee the creation of essential platform services, ensuring their smooth integration.
  • Develop clean, efficient, and maintainable code adhering to industry best practices.
  • Collaborate with team members to produce thorough technical documentation.
  • Manage project schedules, milestones, and deliverables effectively.
  • Provide mentorship and guidance to junior engineering staff.
  • Contribute actively to automation of infrastructure, as well as monitoring and alerting strategies.

Required Qualifications:

  • 8+ years of relevant experience in the industry.
  • Demonstrated experience as a Technical Lead, directing the efforts of others.
  • Hands-on experience with large-scale generative AI applications or platforms.
  • Expertise in Python, with solid skills in TypeScript or Java, and familiarity with modern compiled languages such as Go or Rust.
  • In-depth knowledge of microservices architecture and RESTful APIs.
  • Proficient in one of the major cloud platforms (AWS, GCP, or Azure) with a solid grasp of infrastructure as code (Terraform).
  • Extensive experience in DevOps practices, CI/CD pipelines, and monitoring tools.
  • Familiarity with agile development methodologies and project management tools.
  • Strong understanding of scaling technologies such as Docker and Kubernetes.
  • Exceptional problem-solving, communication, and leadership abilities.
  • Willingness to work on-site as required.
  • Preferred Qualifications:
  • Experience with AI/ML platforms and frameworks (e.g., TensorFlow, PyTorch).
  • Exposure to all three major cloud providers (GCP, Azure, AWS), with significant experience in GCP.
  • Familiarity with front-end technologies (e.g., React, Angular).
  • Previous experience in the healthcare domain.

Compensation & Benefits: The salary range for this position is between $200,000 and $250,000, contingent upon your skills, qualifications, and experience. This role also includes eligibility for equity and comprehensive benefits.

We are committed to transforming healthcare through AI innovations.



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