- 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 workplace 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