Inspiren

Compensation

Full Description

About Inspiren Inspiren was created to help operators forge thriving senior living communities. We use a simple, streamlined platform that protects resident privacy, to optimize community operations at every step. Our technology puts residents first, capturing insights on everything from revenue leakage to staff utilization, while providing an extra layer of oversight, as an extension of your care team. We know that balancing operations takes time and effort, not to mention careful coordination across many moving parts. That’s why we offer seamless solutions to guide stronger care decisions. While you can’t control any specific event, we believe that data can power communities to live and work better. Keeping your residents healthy and your staff productive is easy with Inspiren. Smarter care, on every wall. One room at a time. About the role We are looking for a Staff Engineer to serve as a technical leader and force multiplier, tackling our most critical architectural challenges in data modeling, APIs, and platform scalability. You will directly impact our ability to scale, accelerate engineering velocity, and establish a culture of technical and operational excellence. You will be instrumental in a foundational architectural shift as we expand from acute care into assisted and independent living. This role is highly cross-functional: you’ll collaborate closely with product, design, infrastructure, ML, and QA to drive both the architecture we build and the practices we adopt as we expand from acute care into assisted and independent living. We can count on you to… Own: The long-term vision and implementation of our core data models and internal API architecture, ensuring they are scalable, consistent, and well-documented. You will lead the charge on defining our next-generation data architecture to support new product lines and business models. This includes collaborating with our ML and Data teams to ensure data models support their needs for training and inference. Architectural choices that unlock velocity across teams, with an eye toward secure, reliable, and repeatable patterns. Teach: Modern best practices for systems design, API architecture, automated testing, observability and security. Mentor engineers through pairing, code reviews, and technical design sessions, elevating the skills of the entire org. Improve: Engineering velocity by designing and rolling out a new, standardized API layer and automated testing practices that will help us reduce our feature lead time. You will be responsible for increasing developer confidence by establishing critical integration test patterns and enforcing coverage. About you 8+ years of experience in backend systems architecture, with deep expertise in data modeling, distributed systems and API design (REST and/or GraphQL). You possess a proven ability to influence and lead technical direction without direct authority. Excellent communicator who can articulate complex technical concepts to both engineering and non-technical stakeholders. Passion for mentorship and have a track record of elevating the technical capabilities of a team. You are a problem-solver with a pragmatic approach to addressing technical debt while enabling new features. You demonstrate a high degree of humility, leaving your ego at the door, and are kind and thoughtful when working with others. Programming and Technical Skills Programming Proficiency: Expertise in backend systems with an emphasis on TypeScript, Node.js, and/or React. Event-Driven Architecture: Experience with event-driven systems and technologies like Kafka, RabbitMQ, or AWS IoT Core. Cloud Infrastructure: Proven experience with cloud infrastructure management and serverless applications, specifically in managing performance, observability, and scalability. API Design and Specification: Experience with GraphQL or OpenAPI/Swagger for designing and documenting APIs. Databases: Experience with PostgreSQL (or other relational databases). Nice to have: experience with Timescale. Bonus points Observability and Monitoring: Experience with observability tools like Sentry and New Relic. CI/CD Modernization: Experience with modern CI/CD practices and Infrastructure as Code (Terraform, AWS CDK). AI/ML Integration: Experience building systems that support AI/ML workloads, including data pipelines and API endpoints for model inference. Familiarity with Model Context Protocol and experience designing or implementing protocols that standardize data exchange between multiple services. Security: Hands-on experience with secure coding practices, threat modeling, or cloud security audits. Details The annual salary for this role is $230,000 - $260,000 + equity + benefits (including medical, dental, and vision) Flexible PTO Location: Remote, US or Canada. NYC preferred. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.