Source description
About the role
Bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent significant industry experience.
8+ years of professional software engineering experience, with deep expertise in full-stack enterprise web application development within a product-focused organization.
Proven experience architecting, building, and delivering large-scale, high-performance, and highly available SaaS platforms.
5+ years of experience in the healthcare domain, with strong understanding of healthcare systems, data privacy, and regulatory compliance requirements.
Strong hands-on experience with cloud platforms (AWS), including microservices, serverless architectures, and cloud-native design patterns.
Hands-on experience with modern web frameworks and platforms, including Angular, ASP.NET , and Node.js .
Proficiency in C#/.NET and Python, with a track record of building and operating high-volume, production-grade web services.
Solid understanding of data storage technologies, including relational databases (PostgreSQL, SQL Server) and NoSQL systems, with the ability to diagnose and resolve performance and scalability bottlenecks.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Strong understanding of application security, identity and access management, and secure coding practices, with experience building compliant systems (HIPAA, OWASP).
Familiarity with accessibility standards (WCAG, ADA) and building inclusive, accessible web applications at enterprise scale.
AI-Driven Development: Utilize modern AI tools (e.g., CursorAI, GitHub Copilot) to accelerate development, refactoring, and documentation while maintaining code integrity.
Exposure to AI/ML-enabled solutions particularly within healthcare or patient-care workflows.
Excellent troubleshooting and debugging skills across complex, distributed systems.
Experience working in Agile environments and driving DevOps practices, including CI/CD, observability, and operational excellence.
Proven technical leadership with a strong track record of mentoring engineers and influencing architectural decisions across teams.
Strong analytical and problem-solving skills, capable of delivering pragmatic, scalable, and innovative solutions.
Excellent verbal and written communication skills, able to clearly articulate complex technical concepts to both technical and non-technical stakeholders.
Curiosity and ownership mindset, with a passion for understanding complex codebases and continuously improving system design and quality.
Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role
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