Staff Software Engineer

Inspiren•New York, NY

34d•$200,000 - $225,000•Remote

About The Position

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff. Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes. 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.

Requirements

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 Proficiency: Expertise in backend systems with an emphasis on TypeScript, Node.js, and/or React.
AI Adoption: You actively use AI coding tools (Cursor, Claude Code) as a core part of how you work. Your AI usage goes well beyond basic prompting and into automating tasks, long-running processes, and complex integrations.
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.

Nice To Haves

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.

Responsibilities

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.
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.
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.