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Staff Software Engineer- Risk Engine

United States
Backend
Staff Software Engineer
Remote
8+ years of experience
Healthcare · Enterprise SaaS

Description For Staff Software Engineer- Risk Engine

Aledade is seeking a Staff Software Engineer to lead their Risk Engine development. This role focuses on building next-generation distributed data storage and processing systems that can scale indefinitely while maintaining high performance. The position requires expertise in building scalable backend systems, working with cloud technologies, and database systems. As a staff engineer, you'll be responsible for developing foundational architecture, mentoring other engineers, and working cross-functionally to shape product strategy. The role combines technical leadership with hands-on development, requiring both deep technical knowledge and the ability to influence engineering practices. You'll be working on systems handling sensitive healthcare data, requiring attention to security and compliance. The position offers the flexibility of remote work within the United States, making it an excellent opportunity for experienced engineers looking to make an impact in the healthcare technology sector.

Last updated a month ago

Responsibilities For Staff Software Engineer- Risk Engine

  • Identify and develop scalable and performant solutions
  • Work across discipline to shape product strategy and execution
  • Develop the foundations of code architecture and quality
  • Mentor and coach engineers
  • Set and uphold the standard for engineering processes to support high-quality engineering

Requirements For Staff Software Engineer- Risk Engine

Java
Python
Scala
Kafka
Kubernetes
  • BS/BTech (or higher) in Computer Science, Engineering or a related field required
  • 8+ years of production-level experience as an engineer building highly scalable systems
  • 4+ years of experience acting as a trusted technical decision-maker in a team setting
  • 4+ years of experience working with SQL or other database querying languages on large multi-table data sets
  • Experience architecting, developing, and deploying large-scale distributed systems at scale
  • Experience with cloud technologies, e.g., AWS, Azure, GCP
  • Experience building continuous integration and continuous development (CI/CD) pipelines
  • Strong familiarity with server-side web technologies

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