Note: The job is a remote job and is open to candidates in USA. The employer is a rapidly growing AI-driven SaaS company transforming how healthcare organizations use data, analytics, and automation to drive business outcomes. The Senior Full-Stack Engineer will design, develop, test, deploy, and support software across the full technology stack while contributing to architecture, machine learning initiatives, engineering standards, and technical leadership.
Responsibilities
- Design, develop, test, deploy, and support software across the full technology stack
- Build and maintain APIs, microservices, backend services, and data pipelines
- Contribute to system architecture, infrastructure, and database design decisions
- Partner closely with Product, Sales, Customer Success, and Leadership teams
- Review code and promote engineering best practices across the organization
- Support machine learning initiatives through experimentation, testing, and model iteration
- Help shape the future direction of the engineering organization through technical leadership and mentorship
Skills
- 5+ years of professional software engineering experience
- Strong full-stack development experience
- Experience building and supporting distributed systems, APIs, microservices, and scalable cloud-based applications
- Hands-on experience with modern cloud infrastructure and deployment practices
- Strong problem-solving skills and meticulous attention to detail
- Excellent communication skills and ability to collaborate across technical and non-technical teams
- Experience with or willingness to work extensively in technologies such as Python, Django, Node.js, JavaScript frameworks, AWS, relational databases, and event-driven architectures
- Engineers are expected to leverage modern AI coding tools to accelerate development, improve code quality, enhance testing, and increase overall productivity
- The ideal candidate already uses tools such as Claude, ChatGPT, GitHub Copilot, Cursor, or similar AI-powered development platforms on a daily basis
- Experience using Claude specifically for code generation, refactoring, debugging, architecture discussions, documentation, test creation, and problem solving is highly valued
- Candidates who view AI as an essential engineering partner rather than an occasional experiment will be most successful in this environment
- Curiosity, adaptability, and enthusiasm for AI-assisted software development are considered critical attributes for this role
- Machine Learning and AI frameworks
- Large-scale data processing and analytics platforms
- Telephony, messaging, or communication APIs
- Marketing technology integrations
- HIPAA-compliant applications and healthcare technology environments
Benefits
- Excellent health, dental and vision coverage
- Equity in high-growth start-up (not in lieu of a salary)
- Flexible Hours
- Very generous PTO
- 401k plan with 4% match
- Small team, autonomy
- Many more great perks!
Company Overview
Company H1B Sponsorship