Senior Full-Stack Software Engineer
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- Design and build scalable applications for data acquisition, management, and visualization
- Build and maintain full-stack Nota features, from React components through GraphQL schemas to PostgreSQL query performance
- Design, deploy, and scale ML inference services on Ray Serve and Kubernetes, including model versioning, autoscaling, and observability
- Architect and manage the cloud environment supporting data ingestion, querying, and computer vision/ML pipeline development and deployment
- Own infrastructure as code and GitOps across multiple accounts and environments using Terraform, Terragrunt, and ArgoCD
- Build CI/CD pipelines that enable researchers to ship models without filing tickets
- Handle medical imaging data at scale, including DICOM ingestion, de-identification, format conversion, and reliable movement of terabytes
- Work closely with the product team and external stakeholders to shape engineering goals and requirements
- Expand responsibilities as the company grows to meet team and client needs
Requirements
- 5+ years of software engineering experience with a track record of building and operating applications in production
- Full-stack depth across front-end, back-end, database design, and software/network security
- Production Kubernetes experience
- Deep infrastructure-as-code practice with Terraform; Terragrunt is a plus
- Experience with GitOps deployment patterns
- Comfort operating in multi-cloud environments: AWS primary, GCP/Azure secondary
- Experience with HPC schedulers such as Slurm
- Fluency in Python and TypeScript/JavaScript
- Experience with React, GraphQL, and Docker
- Mature CI/CD experience, including GitHub Actions, reproducible builds, and environment parity
- Excellent written and verbal communication skills in English
- Bachelor's degree in engineering, computer science, or a related field is nice to have, not required
- Experience with Claude Code or comparable agentic tooling
- Ability to structure repositories, context, and documentation for production-quality agent output
- Experience building custom tooling such as MCP servers, skills, subagents, or hooks
- Judgment about where agents should be trusted and where they should be reviewed
Core Competencies
Demonstrates expertise in full-stack application development, including proficiency in Python, TypeScript, React, and GraphQL, while effectively managing cloud infrastructure and CI/CD pipelines. Capable of handling large-scale medical imaging data and implementing infrastructure as code using Terraform and GitOps practices.
Highest-signal resume keywords
- Full-Stack Development
- Production Kubernetes Experience
- Infrastructure As Code with Terraform
- CI/CD Pipeline Development
- Medical Imaging Data Management
ATS Optimization Keywords
Hard Skills
- Python
- TypeScript
- React
- GraphQL
- PostgreSQL
- Kubernetes
- Terraform
- Docker
- CI/CD
- DICOM
Soft Skills
- Excellent Communication Skills
Industry Keywords
- Data Acquisition
- Data Management
- Data Visualization
- Cloud Environment
- Computer Vision
- ML Pipeline
Tools & Technologies
- GitOps
- Ray Serve
- ArgoCD
- GitHub Actions
- HPC Schedulers
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