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 setting 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

📌 Full Stack Software Developer Senior with Security Clearance (Toronto)
🏢 Jobtailor
📍 Toronto