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