Sobre este puesto de Sr. Software Engineer en Hhaexchange
HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.
We are seeking a Senior Software Engineer to contribute to the design, development, and ongoing enhancement of our caregiver platform. This role requires a strong backend engineer who can build scalable, secure, and reliable solutions, collaborate effectively with cross-functional teams, and help deliver high-quality software products within healthcare domain.
The ideal candidate combines hands-on technical expertise with a passion for solving complex problems, applying engineering best practices, and continuously improving system performance, security, and maintainability. This individual will contribute to technical design discussions, mentor junior engineers, and help drive the delivery of innovative and compliant healthcare solutions.
To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only.
Essential Job Duties
Other Job Duties
Travel Requirements
Required Education, Experience, Certifications and Skills
- Bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent significant industry experience.
- 5+ years of professional software engineering experience, with strong expertise in backend application development within a product-focused organization.
- Experience designing, building, and delivering large-scale, high-performance, and highly available backend services and distributed systems.
- 2+ 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.
- Proficiency in C#/.NET and Python, with a track record of building and operating high-volume, production-grade API and 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 frontend technologies such as Angular is preferred.
- 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).
- Experience using AI-assisted development tools (e.g., Cursor AI, GitHub Copilot) to improve engineering productivity and code quality.
- Exposure to AI/ML-enabled solutions, particularly within healthcare or patient-care workflows, is preferred.
- 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.
- Demonstrated ability to mentor engineers, participate in design discussions, and promote engineering best practices within the team.
- 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.
