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 Experience
Experience building features for ML inference pipelines.
Solid understanding of:
Data processing frameworks
Experience enabling machine learning workloads in production environments.

AI-Assisted Development
Demonstrated proficiency with contemporary AI development tools, including:
LLM-powered engineering workflows
Agentic coding assistants
Ability to effectively leverage AI tools to improve code quality, engineering productivity, and development speed.

Greenfield Product Development
Proven track record of taking systems and platforms from 0 to 1.
Comfortable working with undefined requirements and rapidly evolving priorities.
Strong 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.
Solid decision‑making skills around system design, scalability, reliability, and maintainability.

Technical Skills
Java
Spring Boot
REST APIs
AWS
Compute, Storage, Networking
IAM
Cloud-native Architecture

AI / Data Platforms
Databricks

Programming Languages
Java
Python

Development Tools
AI-Assisted Development Tools
Modern CI/CD Practices

Ideal Candidate Profile

You 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.
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📌 Principal Software Engineer – Ai Infrastructure Toronto
🏢 Apexon
📍 Toronto