Senior Platform Engineer

Qualified Health

$160K — $240K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of production experience with generative AI applications or platforms
  • Proficient in Python, with some knowledge of TypeScript or Java
  • Experience with cloud platforms (AWS, GCP, Azure) and Terraform for infrastructure as code
  • Familiar with microservices architecture and RESTful APIs
  • Understanding of DevOps practices and CI/CD pipelines
  • Experience with Docker and Kubernetes for containerization and orchestration
  • Bachelor's degree required; Master's degree preferred

Responsibilities

  • Develop and maintain core platform services for healthcare AI
  • Write clean and efficient code adhering to best practices
  • Collaborate to create and update technical documentation
  • Contribute to automation of infrastructure and monitoring
  • Manage project timelines and deliverables effectively
  • Participate in code reviews to enhance team output
  • Troubleshoot issues in production environments

Benefits

  • Eligible for equity options
  • Enjoy flexible work arrangements with three on-site days per week
  • Collaborative work environment in state-of-the-art offices
  • Opportunities for professional development in a cutting-edge field
  • Be part of a mission-driven company aiming to innovate healthcare through AI
Full Job Description
Job Summary:
We're looking for a skilled Platform Engineer to contribute to the development of our Gen AI for Healthcare SaaS platform. As a key member of our early engineering team, you will play a critical role in building and maintaining the core services of our cutting-edge healthcare AI solution, collaborating closely with the team to ensure the platform's success.

Key Responsibilities:
  • Develop and maintain core platform services, ensuring seamless integration with the overall architecture
  • Write clean, efficient, and maintainable code following best practices
  • Collaborate with the team to create and update technical documentation
  • Contribute to infrastructure automation, monitoring, and alerting strategies
  • Assist in managing project timelines, milestones, and deliverables
  • Participate in code reviews, providing feedback and suggestions for improvements
  • Support and troubleshoot issues in production environments

Required Qualifications:
  • Production experience at scale of a generative ai application or platform
  • Proficiency in Python and familiarity with TypeScript or Java, with some experience in a modern compiled language such as Go or Rust
  • Solid understanding of microservices architecture and RESTful APIs
  • Experience with one of the major cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform)
  • Familiarity with DevOps practices, CI/CD pipelines, and monitoring tools
  • Understanding of agile development methodologies and project management tools
  • Experience with containerization and orchestration tools like Docker and Kubernetes
  • Strong problem-solving and communication skills
  • Bachelors Degree required, Masters Degree is highly desirable
  • Able to work on-site in our amazing offices in Palo Alto 3 days per week

Desirable Skills:
  • 6+ 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


Pay & Benefits: The pay range for this role is between $160,000 and $240,000, 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. To apply, please send your resume through the application below.

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