Job Description
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.
Job Overview:
As a Full-Stack Engineer at Skypoint, you will be instrumental in architecting and developing core components of our AI-powered healthcare platform. Your contributions will span our SaaS infrastructure, data lakehouse, and GenAI-driven agentic systems, delivering intelligent and secure solutions that enhance productivity for healthcare organizations. This role requires proficiency in both backend (.NET/Azure) and frontend (React or Fluent UI) development to build scalable, responsive, and user-friendly healthcare applications.
Location: Beaverton, Oregon (Lifetime Work Offices) – 5 days/week (No hybrid or remote)
Responsibilities:
· 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).
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.
Preferred Background:
· Experience working in healthcare technology, clinical data systems, or regulatory-compliant SaaS environments.
· Passion for building intelligent systems that have a real-world impact on healthcare outcomes.
Life at Skypoint
Life at Skypoint is vibrant and forward-thinking, focused on harnessing the power of AI and advanced technologies to innovate and solve real-world challenges. Our culture thrives on creativity, strategic thinking, and a commitment to excellence, offering a collaborative environment where every contribution is valued.
We are dedicated to fostering personal and professional growth, ensuring team members have opportunities for advancement through continuous training and a flexible work-life balance. Skypoint offers competitive benefits, including comprehensive health insurance and retirement plans.
Join us to be part of a dynamic team that's shaping the future with groundbreaking solutions in AI and technology, all while enjoying a supportive and inclusive workplace!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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