Engineer, RFA Forward Deployed Engineering

TL;DR

Engineer (Forward Deployed Engineering): Solving complex problems faced by enterprise users and turning those solutions into scalable platform capabilities with an accent on integration mapping and infrastructure shadow testing. Focus on working alongside AI agents to make product decisions and design reusable solutions.

Location: Hybrid in Toronto, Canada, with willingness to travel (~20-30%) to hirify.global sites (Toronto, SF, Seattle) and user locations.

Salary: CA$172,000 - CA$258,000

Company

hirify.global is a financial infrastructure platform for businesses that millions of companies use to accept payments, grow their revenue, and accelerate new business opportunities.

What you will do

• Work alongside AI agents to serve users at scale and help shape the tooling itself.
• Engage directly with users to understand their revenue, billing, and payments requirements and translate them into technical solutions.
• Build across product boundaries and contribute to a customization framework for RFA and adjacent products.
• Provide architectural guidance and review user architectures, advise on best practices, and optimize integration and performance.
• Resolve critical technical challenges, diagnose and fix complex product/engineering problems across the stack, and identify systemic improvements.
• Inform the product roadmap and advocate for user needs based on firsthand experience.

Requirements

• 5+ years of experience in software engineering, with a strong focus on backend systems.
• Proven ability to design, build, and maintain highly available, scalable, and secure systems.
• Strong command of distributed systems, API design, and data modeling.
• Excellent problem-solving skills and clear communication skills with both technical and non-technical stakeholders.
• Track record of working well in collaborative environments with product managers, TPMs, and other engineers.
• Willingness to engage directly with users to understand requirements and co-develop solutions.

Nice to have

• Experience with financial automation or billing products.
• Experience with multi-product integration.
• Familiarity with extensibility models, custom solution frameworks, or platform development.
• Experience working with large enterprise users or in a customer-facing engineering role.
• Prior experience in a fast-paced, ambiguous environment where priorities shift based on user needs.
• Interest in or experience with AI-augmented engineering.