Design and build scalable applications for data acquisition, management, and visualizationBuild and maintain full-stack Nota features, from React components through GraphQL schemas to PostgreSQL query performanceDesign, deploy, and scale ML inference services on Ray Serve and Kubernetes, including model versioning, autoscaling, and observabilityArchitect and manage the cloud environment supporting data ingestion, querying, and computer vision/ML pipeline development and deploymentOwn infrastructure as code and GitOps across multiple accounts and environments using Terraform, Terragrunt, and ArgoCDBuild CI/CD pipelines that enable researchers to ship models without filing ticketsHandle medical imaging data at scale, including DICOM ingestion, de-identification, format conversion, and reliable movement of terabytesWork closely with the product team and external stakeholders to shape engineering goals and requirementsExpand responsibilities as the company grows to meet team and client needsRequirements5+ years of software engineering experience with a track record of building and operating applications in productionFull-stack depth across front-end, back-end, database design, and software/network securityProduction Kubernetes experienceDeep infrastructure-as-code practice with Terraform; Terragrunt is a plusExperience with GitOps deployment patternsComfort operating in multi-cloud environments: AWS primary,



GCP/Azure secondaryExperience with HPC schedulers such as SlurmFluency in Python and TypeScript/JavaScriptExperience with React, GraphQL, and DockerMature CI/CD experience, including GitHub Actions, reproducible builds, and setting parityExcellent written and verbal communication skills in EnglishBachelor's degree in engineering, computer science, or a related field is nice to have, not requiredExperience with Claude Code or comparable agentic toolingAbility to structure repositories, context, and documentation for production-quality agent outputExperience building custom tooling such as MCP servers, skills, subagents, or hooksJudgment about where agents should be trusted and where they should be reviewedCore CompetenciesDemonstrates 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 keywordsFull-Stack DevelopmentProduction Kubernetes ExperienceInfrastructure As Code with TerraformCI/CD Pipeline DevelopmentMedical Imaging Data ManagementATS Optimization KeywordsHard SkillsPythonTypeScriptReactGraphQLPostgreSQLKubernetesTerraformDockerCI/CDDICOMSoft SkillsExcellent Communication SkillsIndustry KeywordsData AcquisitionData ManagementData VisualizationCloud EnvironmentComputer VisionML PipelineTools & TechnologiesGitOpsRay ServeArgoCDGitHub ActionsHPC Schedulers#J-18808-Ljbffr

📌 Senior Full-Stack Software Engineer (Toronto)
🏢 Altis Labs
📍 Toronto