Role Summary

We're looking for a Staff/Principal Software Engineer who thrives in ambiguity, builds from zero, and ships fast. This is a hands-on IC role with significant architectural influence - you'll design the system and write the code. You'll work at the intersection of edge computing, backend services, and AI/ML platforms, collaborating closely with data science to build the foundation for trust-signal processing and machine learning inference

What We're Looking For

Must-Have

Area Expectation

Experience 10+ years building production distributed systems

Data platforms Experience building features for ML inference pipelines - data normalization, feature stores, model serving integration

AI-assisted development

Demonstrated proficiency with AI dev tools (GitHub Copilot, LLM-powered workflows,

agentic coding assistants) - this is a key differentiator for how this team operates

Greenfield builder Track record of taking systems from 0 to 1; comfortable with undefined requirements and rapid iteration





Architecture Ability to own and communicate system design decisions across teams; translate ambiguous product goals into technical plans

Area Expectation

Pace & ambiguity Thrives in startup-like environments - quick tempo, evolving scope, small team with outsized ownership

Mix of These

Area Expectation

Backend Deep expertise in Java Spring Boot - API design, microservices, event-driven architectures

Cloud Strong AWS experience (compute, storage, networking, IAM)

Edge/CDN Hands-on experience with edge computing and CDN execution environments (edge workers, CDN functions, Lambda@Edge, or equivalent)

Languages Deep expertise in Java and/or the ability to work effectively in

JavaScript/TypeScript-based edge runtimes

Tech Stack

Backend services Java Spring Boot

Data science / engineering Python, Databricks

Cloud AWS (primary)

Edge Edge workers, CDN-layer compute

Languages Java, JavaScript/TypeScript, Python

AI/Data platform Databricks, ML model registry

Dev tooling GitHub Copilot, AI-assisted workflows

📌 Staff Software Engineer (Toronto)
🏢 CirrusLabs
📍 Toronto