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About the Role
Altis Labs is recruiting a Senior Full-Stack Software Engineer with an entrepreneurial, product-focused mindset to design and implement testable, scalable code for internal tooling and their web-based software product. You will build critical features from the ground up and own large parts of their clinical annotation and data-curation platform (Nota) and the ML inference infrastructure serving imaging models in production.
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
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: 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
- Experience working effectively with agentic tooling (e.g., Claude Code) on large codebases
- Experience structuring repositories, context, and documentation for agentic output
- Experience building custom agentic tooling (MCP servers, skills, subagents, hooks)
- Understanding of where agents should be trusted, reviewed, and how to differentiate
Skills
- React
- Express.js
- FastAPI
- Hasura GraphQL
- PostgreSQL
- AWS ECS (Fargate)
- AWS RDS
- Terragrunt
- DuckDB
- AWS S3
- Terraform
- Ray Serve
- Kubernetes
- AWS EKS
- ArgoCD
- GitHub Actions
- Slurm
- GCP
- Azure
- Docker
- Python
- TypeScript
- JavaScript
- GraphQL
- DICOM
- PACS
- de-identification
- clinical trial imaging
- computer vision
- machine learning
- Ray (Ray Serve, Ray Data, or Ray Train)
- HIPAA
- GDPR
- SOC 2
- FDA-regulated software
- Claude Code
Location
- Toronto
Work Type
- Full-time
Experience Level
- Senior
Education Level
- Bachelor's degree in engineering, computer science, or a related field
Benefits
- Competitive pay and equity compensation
- Competitive medical, vision, and dental insurance coverage
- 4 weeks of vacation per year
About the Company
- 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.