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Cloud Infrastructure Architect
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Drive security-in-pipeline (SAST, DAST, supply chain security) as a first-class engineering concern, not an afterthought. Hours: Full-time, 40 hours per week.
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Agentic-AI Software Engineer

FirePower Capital
Toronto, ON

Quick apply

Job details

Full-time
8 days ago

Skills

Computer Science
Engineering
Mathematics
Master's degree
SQL
Presentation skills
Bachelor's
JavaScript
SaaS
AI
TypeScript
Communication skills
Python

Full job description

About the Opportunity
We're looking for top-tier engineers - the best of the best - who use modern AI development tools (Claude Code, Codex etc) and multi-agent workflows to build and manage large custom applications at scale. This is a hands-on role for someone with 1-3 years of experience who wants to operate at the frontier of AI-assisted development, ship production software, and learn fast alongside an exceptional team.

You'll join the FPdev.ai team within FP Partners (fppartners.ca), which builds custom solutions for our portfolio companies - from internal applications and data infrastructure to refactoring large SaaS platforms to modern architecture. You'll work alongside our Private Equity and Private Debt teams to ship real-world software that drives meaningful business results.

Responsibilities

Build and manage large custom applications at scale - internal platforms, data pipelines, and operational tooling - across our portfolio companies.
Use AI coding assistants and multi-agent workflows to ship faster - we value problem-solving ability and velocity over memorizing syntax.
Refactor and modernize large SaaS applications - migrating legacy codebases to clean, scalable, modern architecture.
Move quickly from concept to prototype to production - launch, measure, and iterate.
Collaborate with business users to understand requirements, showcase solutions, and ensure adoption.
Measure and communicate impact using a clear framework: establish baselines, implement changes, and document results.

Qualifications
Essential Requirements

Education: Bachelor's degree or higher in Computer Science, Applied Math, Engineering, Statistics, Physics, or related quantitative discipline (Master's preferred).
Experience & track record: 1-3 years shipping production software, paired with a standout record of excellence - first-class standing, Dean's Honours, top-of-class, or comparable signals of being among the best at what you do.
Communication excellence (critical):
• Ability to produce clear written documentation (requirement specs, one-pagers, technical guides).
Strong verbal skills - comfortable presenting demos, scoping projects, and bridging technical and business perspectives.
Analytical mindset with the ability to decompose complex, ambiguous challenges into actionable steps.
Strong programming fundamentals and an AI-native approach - fluent with AI coding assistants and multi-agent workflows to build, manage, and ship applications at scale.
Drive and learning agility - action-oriented, intensely curious, and energized by experimentation and fast, data-driven iteration. Cultural fit and drive matter as much as raw skill.

Valued Experience

Hands-on work with Python, SQL, and JavaScript/TypeScript, plus modern web frameworks.
Experience refactoring or modernizing legacy codebases and large SaaS applications.
Production experience with AI development tools and agentic workflows (Claude, Codex, Cursor, multi-agent orchestration).
Background in a high-performance environment - a top startup, technology company, consulting firm, or finance.

Why This Role Stands Out

Modern development approach: Build and manage large applications at scale using cutting-edge AI agents and multi-agent workflows.
Direct impact: Your work directly influences operational efficiency and bottom-line results.
Diverse challenges: Work across varied industries, codebases, and problems - constant learning and variety.
Learn fast: work shoulder-to-shoulder with an exceptional team of operators and technical leaders who've built and scaled real software.

What “Strong Communication” Looks Like Here

Requirements gathering: Lead focused discovery sessions and document success criteria clearly.
Documentation: Create concise, well-structured briefs following a Problem → Solution → Trade-offs → Success Metrics format.
Presentations: Demonstrate value through storytelling - show the before state, your solution, and the measured improvement with live examples.
User enablement: Develop release notes, setup guides, and onboarding materials that non-technical teams find intuitive.
Stakeholder management: Present options and timelines in plain language, facilitating informed decision-making.

We're looking for the best of the best. If you're a top-tier builder who communicates clearly, learns relentlessly, and ships at scale with AI - and you'll thrive in a high-drive, high-trust team - we want to hear from you.

Quick apply

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