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Senior Software Engineer (Data Platform)

Machinifyinc
1 month ago
Full-time
Remote
Worldwide
Remote Engineering

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

We’re seeking a skilled Senior Software Engineer to join our team! 

The Data Platform Development Team builds the internal systems that power and extends the Machinify platform. We focus on creating scalable, reliable infrastructure that enables seamless communication, data processing, and analytics across our products and customer-facing systems. 

Working closely with the core Machinify platform—written in Scala—we act as internal platform customers, designing and building orchestration and supporting services in Golang that sit on top of the core engine. Our team develops internal products and analytics capabilities that enhance performance, reliability, and extensibility across the organization, ensuring our platform can scale alongside our customers and AI-driven use cases. 

The ideal candidate will have expertise in data platforms. In this role, you will design and build high-performance backend systems that power our AI-driven solutions. You’ll work alongside a collaborative team of passionate engineers, data experts, and innovators to deliver impactful software that drives business success.   

Does this sound like the right opportunity to explore?... Lets connect! 

What You’ll Do 

  • Design and build scalable and high-performance data software solutions using Golang and Python.   
  • Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.   
  • Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.