MindBridge is the global leader in AI-powered financial risk intelligence. Our platform, MindBridge 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 MindBridge’s AI, we set the standard for innovation, scalability, and customer satisfaction. At MindBridge, we're driven by innovation and excellence, united as a team to revolutionize financial integrity. If you're passionate

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ing AI to drive positive change, MindBridge is the perfect fit. Innovation, Collaboration, and Integrity. These principles foster a vibrant workplace culture, where appreciation and a solid sense of community flourish. The Senior Software Developer is a hands-on senior individual contributor who leads complex technical work in their product area in MindBridge. 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. 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 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; 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 5+ years of professional software engineering experience, including significant experience building and operating enterprise SaaS, 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 SaaS 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 design, query performance, storage patterns, and data lifecycle concerns ~ Working knowledge of cloud-native engineering practices, including cloud platforms, containerized workloads, CI/CD, infrastructure automation, observability, and production operations ~ Ability to collaborate effectively with Product, Data Science, UX/Design, Security

📌 Entry Level (Canada)
🏢 MindBridge
📍 Canada