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Senior Software Engineer - Normalization Platform

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Senior Software Engineer - Normalization Platform in USA new

  • Truveta
  • Full time
  • Email
  • Seattle, WA

Responsibilities

  • Own major pieces of the normalization platform’s next-generation architecture.
  • Build and scale flexible services for increasing data volume and expanding data sources.
  • Design and support reliable, secure, scalable, cross-platform, and multi-tenant cloud services.
  • Develop distributed systems, data pipelines, and APIs using Java, Python, or C#.
  • Balance privacy, security, reliability, and changing product requirements.
  • Guide workstreams and mentor junior developers.
  • Participate in ongoing training on privacy, ethics, and security.

Requirements

  • At least 5 years of experience building production-quality software in a team setting.
  • Experience building cloud services or data pipelines in Java, Python, or C#.
  • Experience building and supporting cross-platform, multi-tenant services.
  • At least 2 years of experience with AWS, GCP, or Azure cloud-native platforms.
  • Bachelor’s or master’s degree in Computer Science or a related field.
  • Experience with InfraOps or DevOps is preferred.
  • Kubernetes experience is preferred.
  • Healthcare domain experience is preferred.
  • Experience with AI agents is preferred.

Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) plan.
  • Professional development and training opportunities.
  • Flexible work hours and flexible paid time off.
  • Generous parental leave.
  • Regular virtual and in-person team activities.
  • Hybrid work arrangement based in the Greater Seattle area.
  • Base pay of $155,000 to $190,000, with potential additional compensation such as incentive pay and stock options.

Salary: $155k - $190k/yr

Truveta

Truveta is a real-world intelligence company transforming medical science with unprecedented data and AI. Truveta powers breakthrough discoveries, accelerates regulatory-grade evidence, and unlocks real-time insights from a dataset uniquely built with and owned by US health systems—united by a mi...

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