Principal Cloud-Native AI/ML Systems Architect

High Tech Genesis Inc.; Toronto; On-site; CAD 140,000 - 190,000; Full time

Job summary

High Tech Genesis Inc. in Toronto is seeking a Staff/Principal Software Engineer to design and build scalable distributed systems that power AI/ML platforms, backend services, and edge computing.

This is a hands-on leadership role focused on architecture, production-quality software, and cross-functional collaboration. This role guides engineering teams, drives best practices for observability and reliability, and leverages AI-assisted tools to boost productivity.

Qualifications

• 10+ years of software engineering experience.
• Strong Java and Spring Boot proficiency.
• Experience with AWS and distributed systems.
• Experience with AI/ML data pipelines or inference platforms.
• Edge computing and CDN experience.
• Familiarity with AI coding tools like GitHub Copilot.
• Strong architecture and system design skills.

Responsibilities

• Design and build scalable distributed systems from concept through production.
• Develop backend services and APIs using Java Spring Boot.
• Build data processing pipelines supporting AI/ML inference and feature engineering.
• Design edge computing and CDN-based solutions for low-latency processing.
• Architect cloud-native solutions on AWS.
• Define integrations with third-party platforms, APIs, and authentication services.
• Establish best practices for system architecture, observability, scalability, and reliability.
• Collaborate with Data Science, Product, and Engineering teams to deliver AI-enabled platforms.
• Leverage AI-assisted development tools to improve engineering productivity.
• Lead technical design discussions and mentor other engineers through hands-on development.

Skills

Java & Spring Boot

Distributed systems

AWS

AI/ML pipelines

Edge computing

Software architecture

Leadership/mentoring

Tools

GitHub Copilot

Job description

High Tech Genesis Inc. in Toronto is seeking a Staff/Principal Software Engineer to design and build scalable distributed systems that power AI/ML platforms, backend services, and edge computing.

This is a hands-on leadership role focused on architecture, production-quality software, and cross-functional collaboration. This role guides engineering teams, drives best practices for observability and reliability, and leverages AI-assisted tools to boost productivity.