10+ years of experience building and operating production-scale distributed systems.Proven experience designing and developing scalable backend platforms and services.Strong understanding of software architecture, system design, and cloud-native development.Experience translating ambiguous business requirements into technical solutions and execution plans.Data & AI Platform ExperienceExperience building features for ML inference pipelines.Strong understanding of:Data processing frameworksExperience enabling machine learning workloads in production environments.AI-Assisted DevelopmentDemonstrated proficiency with modern AI development tools, including:LLM-powered engineering workflowsAgentic coding assistantsAbility to effectively leverage AI tools to improve code quality, engineering productivity,



and development speed.Greenfield Product DevelopmentProven track record of taking systems and platforms from 0 to 1.Comfortable working with undefined requirements and rapidly evolving priorities.Solid ownership mindset with the ability to drive initiatives independently.Ability to lead architectural discussions and influence technical direction.Experience communicating complex technical concepts across engineering and business stakeholders.Strong decision‐making skills around system design, scalability, reliability, and maintainability.Technical SkillsJavaSpring BootREST APIsAWSCompute, Storage, NetworkingIAMCloud-native ArchitectureAI / Data PlatformsDatabricksProgramming LanguagesJavaPythonDevelopment ToolsAI-Assisted Development ToolsModern CI/CD PracticesIdeal Candidate ProfileYou will be successful in this role if you:Have built AI-enabled platforms rather than simply consuming AI technologies.Have experience supporting ML inference and production AI systems.Use AI tools extensively to improve engineering efficiency and quality.Thrive in startup-like environments with high ownership and rapid execution.Enjoy solving complex technical challenges with limited direction.Collaborate effectively across Engineering, Product, and Data Science teams.Influence through technical excellence, architecture, and hands‐on execution. #J-18808-Ljbffr

📌 Principal Software Engineer – Ai Infrastructure (Toronto)
🏢 Apexon
📍 Toronto