J
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
