Publié il y a 9 jours
Senior Full Stack Engineer
@ arcadia
Toronto, Ontario
En bref
Arcadia, an AI company focused on medical imaging and clinical research, is hiring a Senior Full Stack Engineer in Toronto, three days a week in office. The role builds clinical annotation and data platforms and the production systems that deploy and serve imaging models for pharmaceutical clinical trials. Compensation is $200,000 to $250,000 CAD base plus equity, benefits and four weeks of vacation.
Responsabilités :
- Build clinical data acquisition, management and visualization applications
- Design and scale ML inference services on Kubernetes and Ray Serve
- Own cloud infrastructure and deployment workflows with Terraform and ArgoCD
- Build CI/CD pipelines for researchers to deploy models
- Develop pipelines for large-scale medical imaging datasets
Résumé des exigences :
- 5+ years building and operating production applications
- Full-stack skills across React, backend services and PostgreSQL
- Python and TypeScript/JavaScript fluency
- Kubernetes, Terraform and GitOps experience
- AWS, Docker and CI/CD workflows
- Practical use of AI coding agents with testing and review judgment
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-01
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Congés payés généreux, Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
arcadia
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 2 |
Location: Toronto | 3 days/week in office
Type: Full-time | Permanent
Compensation: $200-250K CAD base + equity + benefits + 4 weeks’ vacation
An AI company focused on medical imaging and clinical research is hiring a Senior Full Stack Engineer to build software that helps bring effective cancer treatments to patients sooner.
The team develops AI models that use medical imaging to predict patient outcomes and help global pharmaceutical companies make better decisions throughout clinical trials.
This is a hands-on role spanning product development and ML infrastructure. You’ll own key parts of a clinical annotation and data platform, alongside the production systems that deploy and serve imaging models. There’s significant scope to build from the ground up, influence technical decisions, and work closely with researchers and product stakeholders.
What You’ll Do
- Build applications for clinical data acquisition, management, and visualization
- Develop features across React, Python/Node.js, GraphQL, and PostgreSQL
- Design, deploy, and scale ML inference services using Kubernetes and Ray Serve
- Own cloud infrastructure and deployment workflows using Terraform, Terragrunt, and ArgoCD
- Build CI/CD pipelines that help researchers deploy models efficiently and reliably
- Develop pipelines for ingesting, processing, and moving large-scale medical imaging datasets
- Collaborate with product teams and stakeholders to shape requirements and technical direction
What We’re Looking For
- 5+ years of software engineering experience building and operating production applications
- Strong full-stack skills across frontend development, backend services, and database design
- Fluency in Python and TypeScript/JavaScript, with experience in React and PostgreSQL
- Hands-on experience designing and operating production workloads on Kubernetes
- Strong infrastructure-as-code experience with Terraform and familiarity with GitOps
- Experience with AWS, Docker, and modern CI/CD workflows
- Practical experience using AI coding agents on existing codebases, with sound judgment around testing and review
- Strong communication skills and the ability to take ownership in a fast-moving team
Nice to Have
- Experience with ML inference, computer vision, or production model-serving systems
- Familiarity with Ray Serve, Ray Data, or Ray Train
- Experience with medical imaging, DICOM, or clinical data pipelines
- Exposure to multi-cloud environments or HPC tools such as Slurm
- Experience in healthcare or regulated environments
- Experience building custom agentic tooling, such as MCP servers, skills, or hooks
Why Join
- Build technology with a direct impact on cancer research and clinical trials
- Own meaningful work across both the software product and ML infrastructure
- Help shape engineering practices within an AI-native team
Journal
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