Role Overview
We are looking for a highly experienced engineer to build, own, and scale product features end-to-end across frontend, backend, APIs, and infrastructure for an AI-driven HealthTech SaaS platform. The role involves complex workflow-driven systems, translating healthcare operations into reliable, scalable, and user-friendly software. At more advanced levels, responsibilities include driving architectural decisions, defining engineering standards, and mentoring other engineers.
Key Responsibilities
- Design and implement full-stack features (frontend, backend, APIs). Build user-facing applications, dashboards, and internal tools.
- Develop business logic, validation rules, and workflows. Own features from design through deployment.
- Design scalable, cloud-native systems, build and maintain microservices and distributed architectures.
- Model data structures and system interactions, implement workflow-driven systems for complex operations.
- Design and develop RESTful APIs; integrate with third-party and healthcare systems; work with interoperability standards such as FHIR.
- Collaborate with Product, Design, AI, and Cloud teams; translate business requirements into technical solutions; contribute to product and technical decision-making.
- Optimize system performance and scalability; improve reliability and user experience; participate in testing, debugging, and incident resolution.
- Contribute to architectural decisions, define engineering best practices and standards; mentor and support other engineers; influence cross-team technical direction.
Technology Stack
- Front-end: React (or modern JavaScript frameworks).
- Back-end: TypeScript (primary), Python, or Java.
- Cloud: AWS core infrastructure.
- Architecture: Microservices, distributed systems.
- APIs: RESTful APIs and integrations.
- Data: Data modeling and system design.
- Infrastructure & Engineering Practices: CI/CD pipelines, DevOps practices, Infrastructure as Code (Terraform), scalable production-grade systems.
- AI Integration: Integration of AI capabilities into workflows and applications (no requirement to build AI models from scratch).
Required Qualifications
- 5–8+ years of full stack software engineering experience.
- Proven experience with production-grade applications and end-to-end solutions.
- Proficiency in React and modern frontend development.
- Solid backend experience using TypeScript, Python, or Java.
- Hands-on experience with AWS and microservices or distributed system architectures.
- Strong understanding of API design and system architecture.
- Experience owning features from design to deployment.
- Ability to work in high-autonomy environments.
- Advanced English communication skills.
Nice to Have
- Experience with AI-integrated applications or workflows.
- Background in HealthTech or regulated industries.
- Familiarity with FHIR or healthcare integrations.
- Experience in SaaS environments and building workflow-heavy platforms.
- Experience developing internal tools or dashboards.
Key Competencies
- Strong product mindset and user-centric approach.
- Ability to simplify and structure complex workflows.
- High level of ownership and accountability.
- Solid system thinking and problem-solving skills.
- Collaborative and team-oriented attitude.
- Strong communication skills (technical and non-technical).
Important Context
- Fast-growing startup environment with evolving technical structure.
- Multiple senior hires being onboarded simultaneously.
- Requires high autonomy and strong engineering judgment.
- Work involves secure, production-level systems in a regulated industry (U.S. Healthcare).
Work Schedule & Modality
Full-time position Monday to Friday, 9:00 AM to 5:00 PM (CST). Onsite role.
Why Join This Opportunity?
- Direct impact on a mission-critical healthcare platform.
- Opportunity to build systems from the ground up.
- Exposure to AI, cloud architecture, and complex workflows.
- High level of ownership and technical influence.
- Work on scalable, real-world, production systems.
Salary range: $100 - $200 a month.
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