Senior Software Engineer (Java) (AI)

TL;DR

Senior Software Engineer (Java) (AI): Building a cloud-native AI integrated controls platform for global financial institutions with an accent on high-load distributed systems and architectural ownership. Focus on implementing critical product components, optimizing Java performance, and leveraging agentic AI tools to accelerate engineering workflows.

Location: Must be based in Canada. Hybrid (1 day/week in office) for Montreal/Toronto or Remote for other Canadian cities.

Company

hirify.global is a cloud-native AI company providing an integrated controls platform for global financial institutions via a scalable SaaS-based service.

What you will do

• Lead high-level design for complex cross-service features and maintain architecture documentation (ADRs, tech specs).
• Implement critical product components focusing on correctness, performance, and long-term maintainability.
• Drive the engineering agenda for assigned product areas and contribute to the technical roadmap and hiring.
• Collaborate across engineering, product, DevOps, and ML teams to align on technical decisions.
• Integrate agentic AI tools (Claude Code, Codex) into the full engineering workflow for code generation, refactoring, and debugging.

Requirements

• Expert Java proficiency including GC tuning, concurrency, and the Spring Framework (Boot, IoC/DI).
• Deep expertise in microservices, distributed systems (Sagas, CQRS, Event Sourcing), and scalable API design.
• Experience designing high-availability systems on GCP (preferred), AWS, or Azure using Terraform.
• Proficiency in observability stacks (structured logging, tracing, metrics) and deployment strategies like Blue/Green or Canary.
• Mandatory practitioner-level command of agentic AI tools such as Claude Code or Codex.
• Must be based in Canada.

Culture & Benefits

• Competitive cash compensation and equity awards aligned with long-term value.
• Comprehensive health insurance for employees and their families.
• Generous time-off policy of 30 days annually, plus public holidays and sick leave.
• High-performance environment emphasizing speed, experimentation, and technical excellence.
• Modern offices in Montreal and Toronto with a flexible hybrid work model.

Hiring process

• Series of technical interviews evaluating engineering judgment and expertise.
• Live technical exercise to validate problem-solving speed and accuracy.
• Interviews conducted in person at offices whenever possible.