Remote Vice President, Platform Engineering

Summary

Join our team as a results-oriented VP Data and AI Platform Engineering to lead the development of our Data and AI Platform, ensuring seamless integration across all applications and supporting both AI/ML capabilities and broader business data needs.

Requirements

• Demonstrated success in leading engineering teams within the healthcare technology sector, focusing on building and scaling cloud-native enterprise-class platforms
• Extensive hands-on experience in designing and deploying cloud-native architectures on AWS, Azure, or GCP with deep expertise in microservices architecture, CI/CD pipelines, Docker, Kubernetes, and data security frameworks
• Experience with migration projects, including data migration or application migration
• Proven ability to mentor and coach technical teams, fostering career growth and leadership within the organization
• Bring mandatory experience developing healthcare technology platforms with expertise in FHIR standards, HIPAA compliance, and secure healthcare data management
• Exhibit a history of successful delivery with measurable outcomes that demonstrate the ability to drive projects to completion on time and within budget
• Strong interpersonal and communication skills with the ability to collaborate effectively with cross-functional teams, senior leadership, and external partners
• Minimum of a Master’s degree in Computer Science, Engineering, or a related field with a strong emphasis on platform engineering and AI technologies

Responsibilities

• Lead the development and scaling of the Data and AI Platform, ensuring seamless integration across all applications and supporting both AI/ML capabilities and broader business data needs
• Design, develop, and deploy a next-generation cloud-native Data and AI Platform using AWS, Azure, or GCP technologies, ensuring scalability, security, and alignment with our strategic business goals
• Architect solutions that streamline the integration and onboarding of new clients using ETL tools and Delta Lake, ensuring seamless data access across the enterprise
• Lead DevOps teams to ensure continuous integration/delivery and operational excellence using tools like Jenkins, Docker, Kubernetes, and CI/CD pipelines, implementing best practices and Infrastructure as Code (IaC) to emphasize automation, scalability, and resilience
• Strategize and implement advanced AI and Generative AI solutions using frameworks such as TensorFlow, PyTorch, or similar, leveraging NLP and other AI technologies to enhance platform capabilities and drive measurable business value
• Lead Data Platform team and collaborate with cross-functional teams to establish best practices for data governance, data architecture, and analytics, ensuring that the data platform meets the needs of business and application teams
• Experience with migration projects, including data migration or migrating applications from one platform to another, ensuring smooth transitions with minimal disruption

Benefits

• Competitive compensation
• Exceptional benefits, including medical, dental and vision, FSA
• 401k with company matching up to 4%
• Generous vacation policy
• Remote-first & hybrid work philosophies
• A hybrid work schedule (2 days in office & 3 days work from home)
• Modern open office in beautiful San Mateo, CA; Los Angeles, CA; San Diego, CA; Austin, TX and Dallas, TX
• Subsidized gym membership
• Catered, free lunches
• Parties, picnics, and wine-downs
• Free parking