Technical Lead Platform Engineer

Why Join Us

• 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, Evolent 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

Role 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

Qualifications Required

• Bachelors Degree in Computer Science, 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
• Excellent problem-solving, communication, and leadership skills
• Able to work on site in our amazing offices in Palo Alto 3 days per week (Breakfast, Lunch and Dinner provided daily)
• experience with large scale distributed systems and building out microservices
• experience with both big tech and start up

Preferred

• 8+ years of relevant industry experience
• Some 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 start up

Salary: $220K/yr - $280K/yr