Jobs in Canada

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Added 2 months ago
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Senior Staff Software Developer
Intuit
Toronto, ON
- Full-time
This is a hybrid role with the expectation of working from our Toronto office 3 days per week
Added 2 months ago
[VO2 Canada] - Consultant.e Salesforce – Missions Ponctuelles
VO2 Group
Montreal, QC
Added 2 months ago
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Firmware Developer
Epiroc
Pitt Meadows, BC
- Full-time
Join Our Team as a Firmware Developer at Epiroc!
Added 2 months ago
M(
Développeur en infrastructure – ingénierie de plateforme
MaintainX (An Autodesk Company)
Remote, Canada
- $88,000 to $195,000 CAD / year
- Full-time
- Remote
Nous construisons une plateforme AI-native destinée à nos développeurs internes, plus de 150 aujourd'hui, en nous laissant guider par une question simple : est-ce que cela raccourcit le…
Added 2 months ago
CB
Full Stack Developer
Canadian Bank Note Company
Ottawa, ON
- $75,000 to $98,000 CAD / year
- Full-time
Understanding of cloud-native architectures and services (e.g., Azure), including caching/queueing technologies such as Redis
Added 2 months ago
Principal Development Architect
SAP
Montreal, QC
Experience with REST APIs, microservices, event-driven architectures, and cloud-native development.
Added 2 months ago
Principal, Software Engineering
CMHC - SCHL
Ottawa, ON · Montreal, QC
A strong background in cloud-native platforms (e.g., Azure Functions, Logic Apps, Kubernetes) and CI/CD pipelines.
Added 2 months ago
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Senior Full-Stack Software Engineer
Altis Labs
Remote, Canada
- Full-time
- Remote
Architect and manage the cloud environment supporting data ingestion, querying, and computer vision / ML pipeline development and deployment
Added 2 months ago
SD
Production Support Lead
SWITS DIGITAL Private Limited
Toronto, ON
- Full-time
Experience supporting API-driven, customer-facing, cloud-native platforms.
Added 3 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time
Added 2 months ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
Experience with AWS and S3, in anticipation of onboarding native cloud data sources.
Added 2 months ago
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Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
- Full-time
- Remote
Modern cloud-native environment - build on a modern GCP stack using contemporary data, platform, and machine learning tooling.
Added 2 months ago
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Software Engineer (Full Stack) - 6 Month Contract
Citylitics
Remote, Canada
- Contract
- Remote
A full stack developer to modernize an established Django + React web application paying down tech debt on a live, actively-shipping codebase. Alongside that, you'll ship smaller,…
Added 2 months ago
Software Developer Full Stack Angular/.Net
Brightstar Lottery
Dieppe, NB
Solid understanding of system integration patterns, RESTful APIs, and cloud-native or distributed services
Added 2 months ago
T
Platform & SRE Engineer
TechDoQuest
Montreal, QC
- Full-time
Familiarity with cloud-native concepts and services.
Added 2 months ago
Architecte de solutions sénior | Sr. Solution Architect, Enterprise Industries
Amazon
Montreal, QC
- Design scalable, secure cloud architectures to support migration, modernization, and the development of cloud-native and AI-driven solutions
Added 2 months ago
Solution Architect, Enterprise Industries
Amazon
Vancouver, BC
- Design scalable, secure cloud architectures to support migration, modernization, and the development of cloud-native and AI-driven solutions
Added 2 months ago
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Directeur(trice) principal(e) de l’architecture de solutions/Senior Director, Solution Architecture
McKesson
Montreal, QC
- Full-time
…compris la rationalisation applicative, la migration vers le cloud, l’intégration, l’automatisation et la réduction de la dette…
Added 2 months ago
Senior Software Engineer, Storage Infrastructure
Planet
Canada
If located near an office, you are expected to work from that office 3 days per week
Added 2 months ago
Engineering Team Lead
Riva International, Inc.
Canada
Lead an AI-native development environment. Use and expand agentic AI workflows throughout the development lifecycle, including specification, implementation, review, testing, and delivery.
Added 2 months ago
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Principal Engineer, Architecture
iQmetrix
Regina, SK
- Full-time
…solutions for telecom retail. Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of intelligence. It replaces fragmented legacy stacks with a modern,…
Added 2 months ago
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Lead Agentic AI Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $86,000 to $131,000 CAD / year
- Full-time
Evaluate, recommend, and securely adopt emerging AI technologies, platforms, and developer tools across cloud environments (Azure and AWS) to advance organizational capabilities.
Added 2 months ago
CF
Senior Observability Engineer
CI Financial
Toronto, ON
- Full-time
Advanced knowledge of Kubernetes and cloud-native observability patterns, including instrumentation for microservices and distributed systems.
Added 2 months ago
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Principal Research Engineer/Scientist
ServiceNow
Montreal, QC
- Full-time
…500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting…
Added 2 months ago
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Python Developer
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $125,000 CAD / year
- Full-time
Experience with Kubernetes-based cloud-native development and deployment is a plus.

Altis Labs

Senior Full-Stack Software Engineer

Remote, Canada

Remote

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: 5+ years of software engineering experience with a track record of building and operating applications in production
Posting language: English
Posted: Sep 4, 2026

Original job description

What We Do

We build AI models to enable smaller, faster, and more successful clinical trials.

About Altis Labs

Altis Labs is a computational imaging company focused on improving how oncology trials measure treatment benefit. Our core technology is IPRO, an AI model that generates patient-level outcome predictions directly from routine medical imaging data. Our global biopharma customers use IPRO to predict efficacy, navigate billion-dollar development decisions with confidence, and move their most promising therapies through Phase I–III trials faster. IPRO is trained on the industry’s largest real-world imaging, clinical, and outcomes database, containing over 210 million longitudinal images and more than one million patient-years of linked outcomes.

Our multidisciplinary team of AI scientists, clinicians, and business operators is on a mission to get the most effective treatments to patients sooner. We collaborate closely with academic medical centers and co-publish our results at top-tier medical conferences.

Altis is headquartered in Toronto, serves 6 of the top 20 global biopharmaceutical companies, and is backed by leading life sciences and technology investors.

The Role

Altis Labs is recruiting a Senior Full-Stack Software Engineer with an entrepreneurial, product-focused mindset. You'll design and implement testable, scalable code as we expand our internal tooling and web-based software product - building critical features from the ground up and delivering efficiently without bureaucracy. We're looking for someone who can wear many hats. Concretely, you'll own large parts of two areas: Nota, our clinical annotation and data-curation platform, and the ML inference infrastructure that serves our imaging models in production. Responsibilities are dynamic and will expand as we grow to meet our team's and clients' needs.

Our Stack

Area Technologies: Nota React · Express.js · FastAPI · Hasura GraphQL · PostgreSQL · AWS ECS (Fargate) · RDS · Terragrunt

Clinical DB: DuckDB · AWS S3 · Terraform

Inference pipeline: Ray Serve on Kubernetes · PostgreSQL · AWS EKS · RDS · S3 · Terraform · ArgoCD

Cross-cutting: GitHub Actions · Slurm · GCP · Azure · Docker

Responsibilities

Design and build scalable applications for data acquisition, management, and visualization using best practices
Build and maintain features across the full stack of Nota - from React components through GraphQL schemas to Postgres 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 (Terraform, Terragrunt, ArgoCD)
Build CI/CD pipelines that let researchers ship models without filing tickets
Handle medical imaging data at scale: 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

Qualifications

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 - equally comfortable debugging a React render loop and a Postgres query plan
Production Kubernetes experience: designing what runs on it and why, not just kubectl apply
Deep infrastructure-as-code practice with Terraform (Terragrunt a plus) and GitOps deployment patterns
Comfort operating in mixed environments: multi-cloud (AWS primary, GCP/Azure secondary) and HPC schedulers like Slurm
Fluency in Python and TypeScript/JavaScript; experience with React, GraphQL, and Docker
Mature CI/CD instincts: GitHub Actions, reproducible builds, environment parity
Excellent written and verbal communication skills in English

Nice to Have

Experience in the medical technology domain (DICOM, PACS, de-identification, or clinical trial imaging)
Familiarity with computer vision and machine learning applications/pipelines
Experience with Ray (Ray Serve, Ray Data, or Ray Train) in production
Experience serving deep learning models with real latency and throughput requirements
Familiarity with regulated environments (HIPAA, GDPR, SOC 2, or FDA-regulated software)
Bachelor's degree in engineering, computer science, or a related field

Agentic Engineering

We're an AI-native engineering team, and we treat this as a real skill rather than a résumé line. You should have opinions about:

Working effectively with Claude Code (or comparable agentic tooling) on large, existing codebases
Structuring repositories, context, and documentation so agents produce production-quality output
Building custom tooling - MCP servers, skills, subagents, hooks - where it earns its keep
Where agents should be trusted, where they should be reviewed, and how to tell the difference
If you've been quietly reshaping how your team works because of these tools, we want to talk to you

Benefits

Competitive pay and equity compensation
Competitive medical, vision, and dental insurance coverage
4 weeks of vacation per year

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

You will design and build scalable applications for data acquisition and management while maintaining features across the full stack of the Nota platform. Additionally, you will architect and deploy ML inference services on Kubernetes and manage cloud infrastructure using GitOps practices.

Requirements

The role requires 5+ years of software engineering experience with deep expertise in full-stack development, Kubernetes, and infrastructure-as-code. Candidates must be fluent in Python and TypeScript and possess strong communication skills to collaborate with cross-functional teams.

Skills

Full-stack development
React
TypeScript
Python
Kubernetes
Terraform
AWS
PostgreSQL
GraphQL
Docker
CI/CD
GitOps
Machine learning inference
Ray Serve
Software architecture
DICOM

Benefits

Competitive pay
Equity compensation
Medical insurance
Vision insurance
Dental insurance
4 weeks of vacation

Visa sponsorship

Not detected in the job text

Keywords

Full-stack
Software Engineer
AI
Clinical trials
Oncology
IPRO
React
Express.js
FastAPI
Hasura
GraphQL
PostgreSQL
AWS
Kubernetes
Terraform
Terragrunt
Ray Serve
ArgoCD
Docker
GitHub Actions
DICOM
Machine learning
GitOps
Infrastructure as code
Computer vision
HPC
Slurm
TypeScript
Python
Agentic engineering

Seniority

Senior

Perks

Generous paid time off
Stock or equity

Tools

React
Express.js
FastAPI
Hasura
PostgreSQL
Kubernetes
Ray Serve
Terraform
Terragrunt
ArgoCD

Languages

English

Fields of study

engineering
computer science

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Work requirements

Jobs in Canada