Top Python Jobs in Montreal

Build and maintain secure, scalable Flow Registry features for GitLab’s agentic platform using Python, LangChain, and LangGraph. Design GraphQL and REST APIs, improve automated testing, optimize PostgreSQL-backed applications, and collaborate across backend, frontend, product, UX, and AI teams. Participate in Tier 2 on-call support, troubleshoot production issues, improve observability, and contribute to responsible AI integration in GitLab’s remote, asynchronous environment.

As a Senior Full Stack Agentic AI Developer, you will design and implement scalable solutions, collaborate globally, and leverage GenAI tools to enhance AI development capabilities.

Leads technical design and hands-on development of customer integrations, connector automations, custom exports, workflow flows, and file-based interfaces. Owns data accuracy and auditability, mentors developers across teams, guides complex cross-functional projects, and represents Engineering in customer discussions. Identifies repetitive customer-specific work for productization and automation, adopts AI engineering tooling, and feeds field insights into Product and Solution Architecture.

Build and lead across Tetrix’s SaaS product, data pipelines, AI agents, and telemetry infrastructure using Python and JavaScript. Set technical direction, make architectural decisions, shape product strategy, collaborate with clients, establish secure and scalable engineering practices, mentor engineers, and help build a high-performing team.

Join as a Junior Fullstack Developer contributing to product features alongside senior engineers. Assist in designing, coding, testing, debugging, and resolving bugs. Use GenAI tools, pair-program, participate in code reviews, write automated tests, and follow CI/CD, containerization, and monitoring practices. Participate in team rituals and learn modern development workflows while being mentored.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from ad platforms, order systems, and real-time events. Ensure reliability, observability, and maintainability across event-driven and batch architectures, implement authentication flows, optimize data workflows in a cloud-native environment, and collaborate with product, infrastructure, and data teams to onboard new sources.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Develop and maintain securities reference-data applications using Java or Python. Collaborate with stakeholders to translate requirements, implement solutions, integrate JSON/XML data, optimize RDBMS/SQL processes in Linux, and ensure data accuracy, integrity, and security.

Design, implement, test, and maintain full‑stack features in a SaaS product. Provide technical leadership, mentor peers, influence product technical roadmap, monitor production, improve testing practices, and participate in future on‑call rotations.

Design and build distributed backend systems, microservices, and near-real-time data ingestion and processing. Scale an incrementality experimentation platform, add AI-powered workflows, extend data integrations and partner exports, and contribute frontend components as needed to deliver end-to-end product features.

Design, develop, integrate, and maintain scalable web applications and backend services using .NET Core and Python. Build RESTful APIs and microservices, optimize database queries, implement security and authentication, support CI/CD and cloud deployments, participate in Agile/Scrum, perform testing and performance tuning, and produce technical documentation.

Build and maintain Python tools for web scraping, automation, integrations (Airbnb, marketplaces), ad automation, chatbots (Chatwoot), workflow automation (Spiffworkflow), automated tests, and data analysis.

Build and scale backend systems for a B2B SaaS platform, including data pipelines, AI agents, telemetry and document/data extraction; contribute to product direction, work with clients, champion best practices, and mentor team members.

Build and maintain the SaaS product, data pipelines, AI agents, and telemetry; contribute to product and tech strategy; work with customers; set engineering best practices and mentor teammates.