Top Tech Jobs & Startup Jobs in Montreal

Operate and improve production cloud infrastructure across Azure and AWS. Implement cloud security controls, vulnerability remediation, monitoring, incident response, and SOC 2 compliance processes. Automate operations with scripting, Terraform or Bicep, and CI/CD pipelines. Support reliability, cost optimization, infrastructure integrations, documentation, and on-call resolution for mission-critical SaaS products.

Develop and productionize machine learning, NLP, LLM, and GenAI solutions. Responsibilities include data exploration and pipeline development in Databricks, model experimentation and evaluation, production-quality Python development, REST API creation, and collaboration with data engineering and application teams. The role focuses on transforming AI prototypes into scalable, maintainable solutions using techniques such as RAG, semantic search, text classification, entity extraction, and summarization.

Leads end-to-end delivery of an integrated asset-integrity and risk platform across Product, Engineering, Data, QA, Infrastructure, Commercial, and Customer Experience teams. Owns schedules, budgets, risks, dependencies, governance, decision logs, executive reporting, phase gates, customer commitments, and launch readiness. The role ensures predictable, auditable delivery without owning product strategy, technical architecture, or the business case.

Develop and improve a SaaS platform by designing, developing, and deploying scalable full-stack features. Responsibilities include contributing to architecture and technical decisions, ensuring application quality and security, participating in Agile planning and estimation, conducting code reviews, improving CI/CD practices, and using AI tools to enhance development productivity. The role requires collaboration, technical problem-solving, and continuous learning in a fully remote environment.

Develop and deploy features for a SaaS platform using full-stack development practices. Responsibilities include architectural contributions, application quality and security, Agile sprint participation, code reviews, CI/CD improvement, collaboration, and use of AI tools to enhance development productivity. The role requires Node.js and React expertise, software development experience, Git proficiency, and bilingual French-English communication.

Lead end-to-end SaaS implementations: gather requirements, configure and customize software, conduct training, troubleshoot, coordinate UAT, manage stakeholders, document solutions, and support clients through adoption.