Technical Lead Platform Engineer

Qualified Health; Palo Alto (CA); Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Hybrid work options

Equity

Job summary

Qualified Health is building the next generation of Gen AI for healthcare. We are seeking a Technical Lead / Platform Engineer to shape the architecture and guide the early engineering team delivering our healthcare AI SaaS platform.

You will own core services, drive integration, and mentor engineers while shipping reliable, scalable software in a fast-paced startup environment in Palo Alto. Hybrid onsite three days a week.

Qualifications

• Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Statistics or a related field
• 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 and solid skills in TypeScript or Java as well as some experience in a modern compiled language such as Go or Rust
• 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)

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

Skills

Python

TypeScript/Java

Go/Rust

Microservices architecture

RESTful APIs

Cloud platforms (AWS/GCP/Azure)

Terraform

CI/CD

Docker

Kubernetes

Leadership

Agile

Education

Bachelor's Degree in Computer Science or related field

Tools

Terraform

Docker

Kubernetes

Job description

Transform healthcare with us. At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring - working alongside leading health systems to drive real change.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring - working alongside leading health systems to drive real change. This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board. Join us in shaping the future of healthcare.

Job Summary

We're looking for an experienced Technical Lead / Platform Engineer to drive the development of our Gen AI for Healthcare SaaS platform. As a key member of our early engineering team, you'll be responsible for shaping the architecture, leading the engineering efforts, and ensuring the successful delivery of our cutting-edge healthcare AI solution.

Key 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

Required Qualifications

• Bachelors Degree in Computer Science, Software Engineering, Mathematics, Statistics or a related field
• 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 and solid skills in typeScript or Java as well as some experience in a modern compiled language such as Go or Rust
• 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)

Desirable Skills

• 8+ years of relevant industry experience
• Experience with AI/ML platforms and frameworks (TensorFlow, PyTorch, etc.)
• 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)
• Previous experience in the healthcare industry

What We Offer

• Competitive startup salary and equity packages.
• Health, dental, and vision insurance.
• Flexible working hours and hybrid work options.
• An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes.
• A vibrant and inclusive work environment that fosters creativity and innovation.

Pay & Benefits: The pay range for this role is up to $300,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI.