Mind Bridge is the global leader in AI-powered financial risk intelligence. Our platform, Mind Bridge AI™ is enabling finance and audit professionals to build the AI-powered finance department of the future. With over 120 billion financial transactions analyzed with Mind Bridge’s AI, we set the standard for innovation, scalability, and customer satisfaction.
At Mind Bridge, we're driven by innovation and excellence, united as a team to revolutionize financial integrity. Here, your ideas matter, and your efforts make a meaningful impact. If you're passionate about using AI to drive positive change, Mind Bridge is the perfect fit. What distinguishes us is our unwavering commitment to our values: Innovation, Collaboration, and Integrity. These principles foster a vibrant workplace culture, where appreciation and a solid sense of community flourish.
Role Overview
The Senior Software Developer is a hands-on senior individual contributor who leads complex technical work in their product area in Mind Bridge. You design and deliver capabilities for secure, scalable financial intelligence spanning data ingestion and analytics, enterprise integrations, business insights, AI-assisted workflows, and the infrastructure patterns that support reliable customer outcomes. This role emphasizes execution and subsystem-level ownership within established architectural direction not platform-wide architecture or roadmap definition, which sit with our Platform Architect and engineering leadership.
In this role, you will:
Own technical delivery and subsystem-level design for initiatives spanning services, data pipelines, APIs, analytical workloads, AI/agent services, and cloud infrastructure
Help shape standards and technical decisions that affect multiple teams, working within broader architectural strategy




Provide hands-on technical solutions on ambiguous, high-stakes engineering problems—decomposing requirements, driving design and implementation, mentoring engineers, and improving how we run systems in production
Partner with Product, Data Science, UX/Design, Security, Infrastructure, Implementation/Professional Services, and other customer-facing teams to ship capabilities that matter to finance, audit, and enterprise customers
What You Will Do
Help lead the technical design and delivery of large, cross-functional initiatives spanning backend services, data systems, APIs, analytics and workflows, AI/agent services, and platform infrastructure
Design and evolve scalable, secure, maintainable systems for high-volume financial data ingestion and analysis, workflow orchestration, AI/agent capabilities, and enterprise integrations
Build and extend platform capabilities that support AI/agent systems configuration, insight generation, explanation agents, and orchestration patterns
Identify technical risks, bottlenecks, reliability gaps, and architectural opportunities; recommend solutions that improve scalability, maintainability, security, and delivery speed.
Help lead implementation of complex initiatives while remaining hands-on in design, code review, critical-path development, debugging, and production readiness.
Raise the bar on engineering excellence through design reviews, coding standards,



documentation, testing, observability, incident response, and operational discipline
Work through production incidents, root cause analysis, remediation, and longer-term reliability improvements
Evaluate technologies and practices that improve product quality, analytical performance, developer productivity, and operational resilience.
Contribute to platform standards for API design, data modeling, asynchronous processing, CI/CD, security, and observability
What You Bring to the Role
5+ years of professional software engineering experience, including significant experience building and operating enterprise Saa S, data-intensive, or large-scale distributed systems
Demonstrated Senior-level technical solutions: implementing ambiguous team initiatives, influencing without formal authority, and owning outcomes across multiple subsystems or architectural layers
Strong experience designing secure, reliable, multi-tenant Saa S systems with attention to data isolation, access control, auditability, scalability, and operational supportability
Hands-on experience with data-intensive systems, such as ingestion pipelines, ETL/ELT, batch or streaming processing, analytical workflows, data validation, and warehouse/lakehouse integrations
Strong fundamentals in API design, service integration, data modeling, performance optimization, asynchronous processing, and distributed systems trade-offs
Working knowledge of production AI/ML systems, prompt orchestration, RAG, or agent workflow patterns, and the ability to reason about latency, cost, quality, and governance trade-offs
Experience with relational and/or analytical database technologies and the ability to reason about schema

📌 Senior software engineer (Quebec City)
🏢 MindBridge
📍 Quebec City