Top Tech Jobs & Startup Jobs in Montreal

Gather and document requirements for card and payment solutions, translating business needs into technical specifications. Collaborate with product, engineering, QA, processors, and stakeholders across the SDLC. Support Agile ceremonies, UAT, integration testing, defect triage, releases, production issue resolution, and requirements traceability. Apply expertise in credit, debit, prepaid cards, transaction lifecycles, payment networks, processor integrations, APIs, ISO 8583, digital wallets, chargebacks, reconciliation, and compliance changes.

Build and deploy LLM-powered agents and workflows, develop comprehensive evaluations, integrate client systems and data sources, and implement cost and quality telemetry. The role requires collaborating with business users, applying prompt and context engineering, and delivering production AI applications with appropriate guardrails. Responsibilities include agent development, retrieval and tool-use implementations, and rapid iteration within defined scopes.

Design, build, deploy, operate, and maintain scalable cloud-based web services, APIs, microservices, tools, and internal systems using Go. Improve code quality, testing, deployment automation, monitoring, and engineering processes. Collaborate with stakeholders and engineering teams, make data-informed product decisions, troubleshoot complex issues, and mentor colleagues while delivering production-ready solutions in an agile environment.

Architect and build AI-enabled cloud infrastructure for agentic AI platforms, primarily on AWS with Azure as a secondary platform. Responsibilities include cloud account and environment design, SDN micro-segmentation to isolate rogue agents, centralized policy and control planes governing agent access and actions, and Infrastructure-as-Code automation using OpenTofu, Terramate, Ansible, and GitHub Actions.

Lead architecture and technical direction across product and platform teams. Design scalable, reliable cloud systems, establish engineering standards, solve complex modernization and distributed-systems challenges, support FedRAMP readiness, and mentor engineers. Guide multi-region deployments, disaster recovery, observability, data migrations, performance tuning, and production incident resolution while influencing roadmaps and driving cross-team execution.