Top Tech Jobs & Startup Jobs in Montreal

Lead design and delivery of full-stack web applications and microservices for enterprise risk technology. Build UIs, REST APIs, data layers, batch and event-driven processing. Optimize database schemas and SQL on large platforms. Collaborate with agile squads, support testing, deployment, production, and knowledge sharing to ensure resilient, high-performance solutions.

Delivers procurement and supplier analytics using sourcing and third-party data. Builds dashboards, KPI scorecards, and executive insights with Snowflake and Power BI; supports data transformation, AI enablement, legacy-report migration, UAT, taxonomy maintenance, dataset onboarding, and stakeholder requests. The role requires collaboration across technical and business teams, governed metric-layer experience, complex data analysis, and fluency in French and English.

Leads enterprise API security engineering, discovery, governance, deployment, adoption, and operational management. Owns the API security roadmap, integrations with CMDB, SDLC, DevSecOps, WAF, and monitoring platforms, and coordinates implementation, risk management, vendor relationships, governance, and audits. Partners with technology and business stakeholders to improve API visibility and threat detection while mentoring analysts and project contributors.

Leads a team responsible for HR data governance, metadata, business glossaries, data catalogs, lineage, and quality management. Establishes governance frameworks, controls, monitoring, SLAs, KPIs, scorecards, and remediation processes across Workday and Beqom data. Partners with HR, technology, analytics, engineering, reporting, risk, and control teams to embed trusted data practices into systems, pipelines, reporting, and AI-enabled capabilities. The role requires bilingual French and English proficiency and is based in hybrid Montreal.

Provides ongoing corporate stock-plan administration and client support through Shareworks. Responsibilities include administering equity awards, processing grants and transactions, preparing reports, reconciling records, responding to inquiries, maintaining event timelines and procedures, supporting compliance audits, and coordinating with clients, advisors, service centers, and internal operations teams.

Lead technical strategy and roadmap for cloud/platform security; architect scalable security data platforms; enforce secure-by-design standards; drive automation of security controls and incident response; ensure reliability, observability, and governance; lead engineering teams and partner with security, product, and platform stakeholders to deliver secure AI and data solutions.

Lead the architecture and development of scalable Java/Spring custody-platform services supporting reconciliation, exception management, and transaction processing. Mentor engineers, translate business requirements into technical solutions, and promote engineering best practices including automated testing, CI/CD, secure coding, and resilient releases. Collaborate with QA, DevOps, production support, product, risk, and compliance teams while evaluating technologies that improve system performance and developer productivity.

Develop and maintain Python automation, CI/CD pipelines, containerized platforms, observability solutions, and GenAI-enabled engineering workflows. Lead software modernization, reduce technical debt, standardize engineering practices, and improve developer productivity and operational efficiency. Collaborate with globally distributed Agile teams to deliver scalable, maintainable technology solutions.

Design and develop secure, scalable full-stack data platforms supporting enterprise data protection and obfuscation. Build database, ETL, API, microservices, dashboard, automation, and AI-driven solutions using Java, Python, Angular, and modern data technologies. Optimize large-scale concurrent processing, Spark pipelines, streaming, replication, and data movement across multiple database platforms. Contribute to modernization, observability, governance, security, and cost-efficiency initiatives.

Design, build and maintain scalable, multithreaded distributed systems for CVA risk management. Partner with traders, quants and users to translate requirements, improve data flows and platform reliability, and deliver end-to-end solutions from analysis through production rollout.