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