Staff Engineer

Job not on LinkedIn

September 9

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $230k - $260k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Inspiren

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Healthcare Insurance • SaaS • Wellness

Inspiren is a comprehensive solution for managing and optimizing operations in senior living communities. The platform enhances resident care by providing decision-grade data analysis for care planning, staffing optimization, and resident safety. Inspiren uses advanced technology, such as AUGi, to enable proactive care, improve workflow efficiency, and align care plans with resident needs. The technology's capabilities include real-time alerts for incidents and early risk flagging, tracking resident interactions, and monitoring staff effectiveness, thus ensuring high-quality resident care and operational efficiency.

2 - 10 employees

⚕️ Healthcare Insurance

☁️ SaaS

🧘 Wellness

💰 $2.7M Venture Round on 2022-10

📋 Description

• 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. • Own the long-term vision and implementation of our core data models and internal API architecture, ensuring they are scalable, consistent, and well-documented. • Lead the charge on defining our next-generation data architecture to support new product lines and business models, including collaborating with our ML and Data teams. • Make 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, establishing critical integration test patterns and enforcing coverage.

🎯 Requirements

• 8+ years of experience in backend systems architecture, with deep expertise in data modeling, distributed systems and API design (REST and/or GraphQL). • 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. • Problem-solver with a pragmatic approach to addressing technical debt while enabling new features. • High degree of humility, leaving your ego at the door, and are kind and thoughtful when working with others. • Expertise in backend systems with an emphasis on TypeScript, Node.js, and/or React. • Experience with event-driven systems and technologies like Kafka, RabbitMQ, or AWS IoT Core. • Proven experience with cloud infrastructure management and serverless applications, specifically in managing performance, observability, and scalability. • Experience with GraphQL or OpenAPI/Swagger for designing and documenting APIs. • Experience with PostgreSQL (or other relational databases). Nice to have: experience with Timescale.

🏖️ Benefits

• 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.