Note: Greenfield experience, positive in system design, extensive AWS experience, integrating Java app with ML systems, and CDN/Edge as optional

:

Experience

- 10+ years building production distributed systems

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 ® 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

Pace & ambiguity

- Thrives in startup-like environments - fast tempo, evolving scope, small team with outsized

ownership

Mandatory skills:

Java Backend- Spring Boot, Microservices, Oracle or similar databases





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

Desired skills*

- Identity, trust, or security domain experience (JWT/JWS, PKI, OAuth 2.0, bot detection, token verification)
- Databricks or similar AI/data platform experience
- Experience with observability at scale (distributed tracing, structured logging, dashboards)
- Prior work on multi-party integration layers or network/platform services
- Open-source contributions or community involvement

📌 Staff Software Engineer (Toronto)
🏢 Spruce InfoTech
📍 Toronto