Senior Software Engineer (Java, AI)

TL;DR

Senior Software Engineer (Java, AI): Building and optimizing a cloud-native AI controls platform for global financial institutions with an accent on high-load distributed systems and agentic AI integration. Focus on designing scalable microservices, implementing complex Java concurrency patterns, and leveraging AI-assisted engineering to accelerate delivery.

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

Company

A cloud-native AI company providing an integrated controls platform for global banks, asset managers, and hedge funds.

What you will do

• Lead high-level design and architectural direction for complex, cross-service features and maintain documentation.
• Implement critical product components using advanced Java, ensuring performance, correctness, and maintainability.
• Drive the engineering agenda for assigned product areas and contribute to the technical roadmap.
• Collaborate across engineering, product, DevOps, and ML teams to communicate technical decisions.
• Direct agentic AI tools (Claude Code, Codex) across the full engineering workflow from generation to debugging.

Requirements

• Expert knowledge of Java internals (GC tuning, concurrency, NIO) and Spring Framework.
• Experience with microservices, distributed systems (Sagas, CQRS), and API design (REST, gRPC).
• Proficiency with cloud-native platforms (GCP preferred, AWS, or Azure) and Infrastructure as Code (Terraform).
• Experience implementing observability stacks (distributed tracing, metrics, alerting).
• Mandatory practitioner-level command of agentic AI tools (Claude Code, Codex, or equivalent).
• Must be located 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 culture centered on speed, experimentation, and technical excellence.
• Modern offices in Montreal and Toronto downtown.

Hiring process

• Series of technical interviews focusing on engineering judgment and depth of knowledge.
• Live technical exercise to validate competencies (use of AI tools is strictly prohibited).