- 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 setting 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

📌 Senior Full-Stack Software Engineer (Toronto)
🏢 Jobtailor
📍 Toronto