- 10+ years of experience building and delivering production-grade distributed systems.
- Strong experience with data platforms and ML inference pipelines, including:
- Data normalization and validation
- Feature pipelines / feature stores
- Model serving and ML integration
- Demonstrated proficiency with AI-assisted development tools, such as:
- GitHub Copilot
- LLM-powered development workflows
- Agentic coding assistants
- Proven track record of building systems from 0-to-1 in greenfield environments.
- Comfortable working with ambiguous or evolving requirements and rapidly iterating on solutions.
- Strong architecture and system design skills with the ability to make and communicate technical decisions across teams.
- Ability to translate ambiguous product requirements into scalable technical solutions and implementation plans.
- Thrives in startup-like, fast-paced environments with evolving priorities and high individual ownership.
- Strong cross-functional collaboration skills,



working effectively with Data Science, Product, Engineering, and Partner teams.

Technical Expertise

- Backend Engineering
- Deep expertise in Java and Spring Boot.
- Strong experience designing REST APIs, microservices, and event-driven architectures.
- Cloud
- Solid hands-on experience with AWS.
- Experience with AWS compute, storage, networking, IAM, and related cloud services.
- Edge / CDN
- Hands-on experience with edge computing and CDN execution environments.
- Experience with Edge Workers, CDN Functions, Lambda@Edge, or equivalent technologies.
- Programming Languages
- Deep expertise in Java.
- Ability to work effectively with JavaScript/TypeScript, particularly in edge-runtime environments.

Pay: $108,033.66-$262,338.89 per year

Work Location: In person

📌 Principal Software Engineer – AI/ML & Edge Platforms (Toronto)
🏢 Apexon
📍 Toronto