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Senior Software Engineer — GeneEase

Jouster
Contract type
Ongoing
Work mode
100% remote
Experience
Senior · 5+ years

Job description

Key details

  • Build core components of GeneEase's diagnostic platform, from backend data pipelines to clean, usable frontends
  • Design and implement services that support genomic data ingestion, AI-driven insights, and personalized treatment recommendations
  • Collaborate closely with the Product Manager and fellow engineers to iterate quickly on prototypes and MVP features
  • Work hands-on with ML engineers to integrate models into the product stack
  • Contribute to architectural decisions that balance speed, reliability, and scalability
  • Help build cloud infrastructure (e.g., AWS, GCP, or similar) to support development and deployment of AI-powered features
  • Create and maintain APIs and internal tools that support both user-facing and data-science workflows
  • Company mission
  • GeneEase is launching a first-of-its-kind diagnostic platform at the intersection of AI and gene therapy

Primary stack

Core technologies

AWSGoogle Cloud Platform (GCP)Python (Programming Language)TypeScriptReactDockerNode.js

Benefits

  • Fully remote, async-friendly, and highly collaborative work environment
  • A fast-moving, product-first culture that values speed, integrity, and scientific rigor
  • Work closely with a world-class early team on meaningful, deeply technical challenges

Requirements & details

  • 5+ years of software engineering experience, ideally in fast-paced or startup environments
  • Full-stack experience across backend, frontend, and cloud (exact stack is flexible)
  • Experience with ML/AI model integration, working alongside data scientists or ML engineers
  • Strong background in APIs, data pipelines, and cloud infrastructure
  • Ability to take ownership of complex problems and turn them into clean, maintainable systems
  • Excitement about working in early-stage environments with high autonomy and ambiguity
  • Bonus: Prior experience working in health tech, bioinformatics, or diagnostics
  • Bonus: Familiarity with genomics data formats (e.g., FASTA, VCF) or cloud-based ML workflows
  • Bonus: Experience building products from zero-to-one, including greenfield architecture
  • AWS, GCP, Python, TypeScript, React, Node.js, Docker, LLMs, AI Agents
  • AWS
  • Google Cloud Platform (GCP)
  • Python (Programming Language)
  • TypeScript
  • React
  • Node.js
  • Docker

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