Technical Lead Platform Engineer

This role is part of Jobright TNT—the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno, and 150+ more. Only select, high-signal candidates are invited and recommended directly to hiring teams.

About the Company

Qualified Health is building the healthcare-native enterprise AI platform that helps leading health systems deploy AI safely, at scale, and with measurable clinical and financial impact.

• AI-native healthcare enterprise platform helping health systems safely capture the trillion-dollar healthcare AI opportunity across clinical, operational, and financial workflows
• Raised $125M Series B led by NEA, now supporting 400,000+ users across leading U.S. health systems with 10x revenue growth in the past year
• Founding team brings experience from Stanford Medicine, Waymo, Haven, Evolvent Health, Elevance Health, UCSF, IHI, and Weill Cornell Medicine
• Join a small, exceptionally high-performing team where every role directly shapes how leading health systems adopt AI safely, responsibly, and at scale

Responsibilities

• Define and implement the overall architecture of our AI SaaS platform
• Lead the development of core platform services and ensure their seamless integration
• Write clean, efficient, and maintainable code following best practices
• Collaborate with the team to create comprehensive technical documentation
• Manage project timelines, milestones, and deliverables
• Provide guidance and mentorship to junior engineers
• Actively contribute to infrastructure automation, monitoring, and alerting strategies

Requirements

• Bachelor’s Degree in Computer Science or Software Engineering
• Proven experience as a Technical Lead responsible for directing the work of others
• Production experience at scale of a generative AI application or platform
• Expert proficiency in Python or Java
• Deep understanding of microservices architecture and RESTful APIs
• Expert experience in one of the cloud platforms (AWS, GCP, or Azure) and solid understanding of infrastructure as code (Terraform)
• Expert in DevOps practices, CI/CD pipelines, and monitoring tools
• Familiarity with agile development methodologies and project management tools
• Strong familiarity with scaling tools such as Docker and Kubernetes
• Experience with large-scale distributed systems and building out microservices
• Experience with both big tech and startups
• Able to work on site in our Palo Alto offices 3 days per week (breakfast, lunch, and dinner provided daily)

Preferred Qualifications

• 8+ years of relevant industry experience
• Experience with all three major cloud providers (GCP, Azure, AWS)
• Significant experience with GCP in particular
• Familiarity with front-end technologies (React, Angular, Vue.js)
• Proven expertise in applied AI, large language models (LLMs), and machine learning engineering
• Experience at a growth-stage startup

Pay

$220K/yr – $280K/yr