ABOUT SKYPOINT

Skypoint is a HITRUST r2-certified data unification and agentic AI platform that accelerates productivity and efficiency for healthcare organizations. Our platform empowers healthcare providers, payers, and senior care organizations to unify siloed data, model industry-specific ontologies, and deploy AI agents that automate workflows and enhance decision-making.
Founded in 2020 in Portland, Oregon, Skypoint has grown to over 75 employees and serves more than 100 customers. We are proud to be ranked #26 on Deloitte’s 2024 Technology Fast 500™ list, recognizing the fastest-growing tech companies across North America, driven by our exceptional revenue growth over the past three years.

QUALIFICATIONS:

• 8+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design.
• 5+ years of hands-on experience with .NET, Python, Azure (APIM, Functions, Cosmos DB), and DevOps pipelines.
• Proven full-stack development experience using JavaScript, React, or Fluent UI.
• Deep understanding of object-oriented programming, microservices, and secure cloud-native architecture.
• Experience building scalable and resilient systems in healthcare, AI, or data-intensive domains.
• Familiarity with Git, Agile methodologies, and CI/CD best practices.
• Exposure to GenAI technologies or agentic AI platforms is a strong plus.
• Bonus: AZ-204 certification or willingness to obtain it within 6 months.

• Design and develop robust backend and frontend services using .NET, C#, Python, JavaScript (React or Fluent UI), and Azure.
• Allocate 80% of your time to hands-on development and code contributions within agile sprints.
• Create full-stack solutions, including responsive UIs with React or Fluent UI.
• Build scalable, secure, and high-performance modules for data unification, healthcare ontologies, and AI agent frameworks.
• Collaborate on the development of GenAI copilots and agentic automation tailored to healthcare workflows.
• Lead system design reviews, implement best practices, and ensure quality through automated testing and DevOps.
• Investigate and resolve complex production issues with efficiency and accuracy.
• Identify technical risks and ensure solutions comply with data security and privacy standards (e.g., HIPAA, HITRUST r2, SOC 2 Type 2).