Salma Health is reimagining brain healthcare by integrating care delivery, technology innovation, and research breakthroughs. The Software Engineer plays a critical role in building and scaling the core technology for their brain health platform, delivering reliable software that impacts patient outcomes and collaborating with various teams to translate complex ideas into production-ready systems.
Responsibilities:
- Own end-to-end feature development across frontend, backend, and infrastructure—from concept through production
- Build and evolve modern web applications using TypeScript, Next.js, and React
- Design, implement, and maintain REST and GraphQL APIs that support internal tools and patient-facing workflows
- Develop cloud-native services on AWS, including Lambda-based architectures
- Work across multiple languages and runtimes (Node.js, Python, Ruby) based on business needs
- Partner with AI and research teams to turn proofs of concept into production features
- Collaborate closely with product, design, and clinical stakeholders to deliver well-scoped solutions
- Make pragmatic architectural decisions balancing speed, reliability, and healthcare constraints
- Raise the engineering bar through code reviews, mentorship, and technical leadership
- Help define patterns and practices that will scale with company growth
Requirements:
- 3-5 years of professional software engineering experience, ideally in startup or high-ownership environments
- Strong experience with TypeScript, React, and Next.js
- Proven ability to design and maintain backend APIs (REST and/or GraphQL)
- Hands-on experience building, deploying, and maintaining applications on AWS or another major cloud provider
- Comfort working across backend technologies (Node.js, Python, Ruby) without rigid role boundaries
- Track record of shipping production software in fast-moving, ambiguous settings
- Strong communication skills with a bias toward ownership and action
- Experience at early-stage or scaling startups where engineers own broad technical surface areas
- Exposure to healthcare, regulated environments, or systems handling sensitive data
- Experience integrating or operationalizing AI/ML systems into customer-facing products