Remote Software Engineer - Cloud, AI Tools, Regulated

Praxis Precision Medicines, Inc.

United States

Remote

USD 105,000 - 125,000

Full time

14 days+

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Job summary

Praxis Precision Medicines, Inc. is seeking a Software Engineer to contribute to our eDiary and clinical data platforms.

This role supports a regulated, patient-facing platform across our Epilepsy portfolio and may be performed remotely with travel as needed. The engineer will design and maintain production-grade code across frontend, backend, and data layers, deploy and operate services in a cloud environment, and collaborate with QA, Clinical Operations, Product, and IT to deliver validated

Qualifications

  • Bachelor’s degree in Software Engineering or equivalent practical experience.
  • 3+ years of non-internship professional software development experience.
  • Experience using AI-assisted development tools to improve productivity and code quality.

Responsibilities

  • Design, develop, and maintain production-grade code across frontend, backend, and data layers.
  • Deploy and operate services in a cloud environment (AWS preferred) and participate in reviews for reliability and security.
  • Debug production issues across distributed workflows and drive durable, preventive fixes.
  • Collaborate with QA, Clinical Operations, Clinical Development, Product, and IT to translate requirements into releases.
  • Design APIs and data models with audit trails and observability improvements.
  • Uphold data integrity, security, and regulatory compliance across systems.

Skills

Software Engineering
Distributed systems
Debugging
Code review
Remote work
AI-assisted tooling

Education

Bachelor's degree in Software Engineering

Tools

AWS
CI/CD
Observability tools

Job description

Praxis Precision Medicines, Inc. is seeking a Software Engineer to contribute to our eDiary and clinical data platforms.

This role supports a regulated, patient-facing platform across our Epilepsy portfolio and may be performed remotely with travel as needed. The engineer will design and maintain production-grade code across frontend, backend, and data layers, deploy and operate services in a cloud environment, and collaborate with QA, Clinical Operations, Product, and IT to deliver validated

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