Sage-posted 5 days ago
$175,000 - $210,000/Yr
Full-time • Mid Level
New York, NY

Sage is on a mission to improve care and quality of life for older adults, starting with those residing in senior living facilities. Falls are the leading cause of injury-related death among adults over 65. And yet, fall prevention and emergency response systems for older adults are archaic and ineffective. At Sage we've built a more modern way of understanding when older adults need help, including methods for residents to alert caregivers when in need of help, and corresponding software for caregivers to triage response. Our company mission is to create a product that our client counterparts love, and this role is a key part of that objective. Sage is a small, tight team of ambitious, multi-disciplinary entrepreneurs. We are a software-enabled, mission-driven company, and are focused only on the problems that are central to achieving that mission. At Sage, we work hard and fast but also know that to build a truly important company, we need to treat our work as a marathon, and not a sprint. The journey matters.

  • Partner with product and data teams to build integrations, including EHR (Electronic Health Record) systems
  • Develop full-stack, data-intensive applications, potentially leveraging genAI, for both internal and external users
  • Shepherd integrations between core Sage applications and data platform in partnership with other engineering teams
  • Implement complex authentication and authorization flows, including row-level data access and customer SSO/identity provider integration
  • Build, manage, and optimize compute-intensive data pipelines
  • 5+ years of data engineering experience
  • Experience designing, building, and maintaining REST APIs
  • Understanding of authentication and authorization concepts, including OAuth, and machine to machine access
  • General experience/knowledge of backend service frameworks, such as Spring, Dropwizard, Django, etc
  • Experience with developing and deploying services in a containerized environment, ex: Docker or Kubernetes
  • Experience with general database operations, including designing and writing database tables and queries, general knowledge of indices, and experience optimizing queries
  • Experience with distributed systems, including knowledge of (but not limited to) load balancers, proxies, APIs, rate limiting, scaling
  • Competitive base compensation along with stock options
  • Fully-paid health and dental insurance coverage for all employees
  • Vision insurance
  • Membership to premium primary and urgent care
  • Online medical health providers
  • Take as you need time off policy
  • 7 paid holidays
  • Company wide winter break during the holidays
  • Office lunch and a fully stocked snack bar
  • Up to 2 remote days per week
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