What you'll do:

Lead the technical design, development, and maintenance of highly scalable and performant full-stack applications using React for the front-end and Java for the back-end

Champion the strategic use of Google Cloud Platform (GCP) services, optimizing for cost, performance, and reliability across our data storage, processing, and deployment pipelines

Lead our applied AI initiatives, collaborating closely with Engineering, Product and Business stakeholders to integrate advanced AI models into our products and services. This will include:

Implementing and leveraging Google Gemini for enhanced conversational AI, content summarization, or intelligent search within our platform

Exploring and integrating other relevant Google Cloud AI services (e.g., Natural Language API, Vision AI) to extract insights from healthcare data and automate processes

Shaping the technical roadmap for AI-driven features and ensuring responsible AI development and deployment in a healthcare context

Drive the architectural evolution and best practices for our Zendesk applications, enhancing our member and client support experiences, potentially integrating AI for improved automation and intelligence

Mentor and guide junior to mid-level engineers, fostering a culture of technical excellence, continuous learning, and collaborative problem-solving within the team

Act as a subject matter expert, providing technical guidance and thought leadership to the team and broader organization on full-stack development and applied AI

Collaborate extensively with cross-functional partners, including Product Managers, Designers, Data Scientists, Analytics teams, and various Business Stakeholders You'll translate business requirements into technical specifications, provide technical insights during ideation, and ensure technical solutions align with product vision and user needs

Contribute to all phases of the software development lifecycle, from initial concept and requirements gathering to design, implementation, testing, deployment, and ongoing maintenance

Ensure the highest standards of code quality, performance, and security through rigorous code reviews, automated testing, and adherence to architectural principles, especially concerning sensitive healthcare data (HIPAA compliance)

Proactively identify and resolve complex technical challenges and production issues, driving continuous improvement

Stay ahead of emerging technologies and industry trends, particularly in full-stack development, cloud computing, and artificial intelligence, and advocate for their strategic adoption

To be successful in this role, you'll need:

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

7+ years of experience in full-stack software development, with a significant track record of delivering complex, scalable systems.

Proven leadership experience (formal or informal), including mentoring engineers, leading technical initiatives, and driving best practices.

Deep expertise in React.js and modern JavaScript (ES6+).

Expertise in Java and extensive experience with Spring Boot or similar enterprise frameworks.

Extensive hands-on experience designing, developing, and deploying robust applications on Google Cloud Platform (GCP) (e.g., App Engine, Cloud Run, BigQuery, Cloud SQL, Kubernetes Engine).

Demonstrated experience or strong desire to work with Google Cloud's AI services.

Strong experience building and integrating with complex APIs (RESTful and GraphQL).

Proficiency with relational and NoSQL database technologies (e.g., PostgreSQL, MongoDB).

Demonstrated experience developing and optimizing Zendesk applications.

A strong understanding of software architecture patterns, design principles, and scalable system design.

Expertise in software development best practices, including agile methodologies, version control (Git), and advanced CI/CD pipelines.

Exceptional interpersonal and communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences, including product, design, and business stakeholders.

A passion for leveraging technology and artificial intelligence to solve complex healthcare problems and significantly improve user experiences.

Nice to have:

Direct experience with machine learning operations (MLOps) and integrating AI models into production systems.

Prior experience working in the healthcare technology space with an understanding of HIPAA and healthcare data compliance.

Familiarity with other cloud platforms (AWS, Azure) is a plus.

Contributions to open-source projects or a strong portfolio of personal projects.

Experience with stream processing technologies (e.g., Kafka).

Pay Transparency Statement This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days per week. #LI-hybrid

The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401k, and paid time off.