Principal Software Engineer

Overview

About Curative AI, Inc. Curative AI, Inc. is an ambitious innovative early-stage startup revolutionizing the healthcare industry through cutting-edge AI-powered SaaS solutions. We are currently delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry-transforming AI technology, intelligent automation, and deep data insights. Unlike most tech startups, we have achieved financial break-even within our first year, with signed customer contracts for $30+M in 2025 projected revenues through our AI healthcare solutions deliveries.

Headquartered in Bellevue/Seattle, we have built a sizable top-notch tech team in the US, and a large talented offshore team. We now enter a rapid growth phase, hiring aggressively to scale the US-based team to 100+ employees in 2025. Our vision is bold: to achieve a valuation of over $1 billion within the next 18 months by continuing to deliver exceptional solutions and expanding our market presence.

This is an exceptional opportunity to join an early-stage AI Healthcare tech company with a proven product, established customer base, solid revenue streams, and explosive growth potential.

Curative AI, Inc. is seeking a talented Principal Software Engineer to join our dynamic team. Our cutting-edge AI SaaS customer-facing solutions will transform healthcare management, leading with RCM solutions for streamlined documentation, faster claims processing, enhanced clinical decision support, and much more. You will play a pivotal role in building the AI-powered services that result in better health outcomes for patients.

Come work with a CEO renowned in the AI field with a proven record of building high performing teams, fostering career growth, and creating a positive work culture. Let s make healthcare smarter together.

• Design, develop, and maintain high-performance, scalable microservices using modern programming languages and frameworks.
• Architect and implement robust real-time event handling systems to facilitate seamless data flow and communication between services.
• Develop and implement solutions for automating operational workflows, improving efficiency and reducing manual intervention.
• Collaborate closely with data scientists, machine learning engineers, and product managers to translate requirements into technical designs and deliver high-quality software.
• Ensure the reliability, security, and performance of our backend infrastructure through rigorous testing, monitoring, and optimization.
• Contribute to the development and enforcement of coding standards, best practices, and architectural patterns within the team.
• Participate in code reviews, providing constructive feedback to ensure code quality and knowledge sharing.
• Troubleshoot and resolve complex technical issues in a timely and efficient manner.
• Mentor and guide junior engineers, fostering a collaborative and growth-oriented team environment.
• Stay up to date with the latest technological trends and evaluate their potential applications to our solutions.

• 7+ years of experience in full SDLC software engineering.
• Proven experience designing, building, and deploying microservices architectures in a production environment.
• Deep understanding and practical experience with real-time event handling systems.
• Strong experience in automating operational workflows using scripting languages (e.g., Python) and automation tools.
• Solid understanding of database systems and data modeling principles.
• Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Kubernetes).
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Experience building and managing File Management Systems for large volumes of data.
• Experience building real-time scheduling applications with complex business logic.
• Experience with in the healthcare industry and familiarity with relevant regulations (e.g., HIPAA) desired.
• Experience with AI/ML concepts and…