Staff / Principal Software Engineer

United States Digital Space LLC; Toronto; On-site; CAD 140,000 - 210,000; Full time

Job summary

United States Digital Space LLC is seeking a Staff/Principal Software Engineer in Toronto to lead design and delivery of scalable distributed systems for AI/ML platforms. You will architect cloud-native solutions on AWS, mentor engineers, and collaborate with data science and product teams to build production-grade software.

Ideal candidates have 10+ years in software engineering, deep Java/Spring expertise, and strong experience with AI data pipelines and edge computing.

Qualifications

• 10+ years of software engineering experience.
• Strong Java & Spring Boot experience.
• AWS and distributed systems expertise.
• Experience with AI/ML data pipelines or inference platforms.
• Edge computing/CDN experience.
• Experience using AI coding tools such as 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

AWS & distributed systems

AI/ML data pipelines

Edge computing/CDN

Code-generation AI tools

Architecture & system design

GitHub Copilot / AI coding tools

Tools

GitHub Copilot

Job description

Overview

We are seeking a Staff/Principal Software Engineer to design and build scalable distributed systems supporting AI/ML platforms, backend services, and edge computing. This is a hands-on technical leadership role responsible for architecting solutions, developing production-quality software, and collaborating with cross-functional teams to deliver high-performance, cloud-native applications.

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.

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

Nice to Have

• JavaScript/TypeScript
• Python
• Databricks
• Microservices, event-driven architecture
• JWT, OAuth2, PKI