Top Python Jobs in Toronto

The Staff Software Developer will lead design and implementation of features, mentor junior engineers, and create scalable geospatial solutions using the ArcGIS stack.

Build, maintain, and optimize data pipelines and transformations on Snowflake and Azure. Develop DBT models, ingest diverse data sources, monitor pipelines, troubleshoot issues, collaborate on governance, and use GenAI-assisted tools to accelerate development and documentation.

Lead design, development, deployment, and operational support of scalable cloud data platforms and ELT/ETL pipelines on Azure. Build data products for analytics and AI, optimize performance/cost, implement CI/CD and observability, collaborate with stakeholders, and troubleshoot complex data workflows using Snowflake, dbt, Python/PySpark, and orchestration tools.

Lead end-to-end development and deployment of AI/ML (including Agentic and LLM) solutions for enterprise-scale data reconciliation. Design models, manage pipelines and MLOps, analyze large structured/unstructured financial datasets, collaborate with engineering and business teams, maintain documentation, and deliver measurable impact across operations, risk, and finance.

Design, build, test, and maintain cloud-ready full stack applications for Trading, Investment, Operations, and Compliance. Partner with stakeholders, integrate systems, support production, modernize legacy apps, participate in reviews and releases, and contribute to cloud migration and development standards.

Build and maintain production React/Redux front-ends and Java Spring Boot back-ends; use agentic AI tools across the SDLC for specs, coding, testing, reviews, and debugging; create APIs, integrations, automated tests, ensure production readiness, observability, security, and take ownership through release and production verification.

Owner of a portfolio of large regulated Partner accounts, responsible for revenue expansion, account strategy, and technical growth interventions. Combine account leadership, hands-on engineering (SQL, Python/Node, JS/TS, Vue/React), experimentation (A/B testing), and cross-functional collaboration to diagnose performance, build and ship fixes, and codify repeatable growth playbooks.

Design, deploy, and operate global data center networks for AI compute clusters. Manage switches, routers, firewalls, and lossless RDMA fabrics, troubleshoot production incidents, collaborate with hardware and platform teams, and build automation for scalable, secure, high-performance network provisioning and operations.

Lead a globally distributed team of 10 engineers owning runtime foundations (Kubernetes, service mesh, Vault, Kafka). Drive quarterly priorities, coordinate cross-functional work, mentor engineers, manage on-call responsibilities, improve reliability, and communicate risks and trade-offs to stakeholders.

Design, build, and maintain automated test frameworks and suites (UI, API, backend, database). Execute regression and end-to-end tests, validate REST services, integrate tests into CI/CD, track defects, and coach junior engineers. Collaborate in Agile teams to analyze requirements, create test plans/cases, and improve automation and delivery processes.

Design, build, and deploy machine learning and deep learning models; integrate AI into customer-facing applications; run experiments, preprocess data, and maintain training/evaluation pipelines; optimize model performance and scalability; stay current with research and contribute to system design and code reviews.

Lead analytics for Safety & Customer Care by partnering cross-functionally to define metrics, build dashboards, design and analyze A/B tests, monitor KPIs, and deliver data-driven recommendations to improve customer support experience and inform senior leadership.

Lead the development of AI-powered solutions, drive technical strategy and innovation, mentor engineers, and ensure quality and operational excellence.

Design and document solution and information architectures for client engagements, drive technical design reviews, support sales and project estimating, ensure quality implementation, conduct code reviews, and create reusable delivery assets focused on automation and cloud-native solutions.

Lead design, architecture, and delivery of enterprise-scale data platforms using Databricks and Spark. Architect Lakehouse solutions, build ETL/ELT pipelines, implement IaC and CI/CD, ensure data governance and security, mentor engineers, and partner with Fortune 500 clients from discovery through production.

Site Reliability Engineers apply software and systems engineering to improve reliability, performance, and operability. They deploy, configure, monitor, recover, and scale services, participate in on-call rotations, evaluate products before and after releases, and spend at least half their time engineering away problems while collaborating with teammates.

Own daily MDM operations and data supply, manage data requests via Jira, ensure data integrity and quality, lead root-cause remediation, deliver data requirements for projects, define data standards and controls, drive automation and continuous improvement, and report on operational performance and data health.

Serve as a high-touch technical consultant: investigate, reproduce and diagnose software issues; identify recurring pain points and automation opportunities; mentor junior staff; maintain the knowledge base; and document user needs clearly to bridge customers and Product/Engineering teams.

Drive product and business analyses across Quora: design and evaluate experiments, build models and visualizations, analyze cross-product data to surface root causes, and partner with cross-functional teams to implement data-informed solutions and frameworks.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

The Lead Software Engineer will design and develop full-stack applications for construction project management, ensuring intuitive data workflows and collaborating across teams to enhance user experience and performance.

The Forward Deployed Engineer will integrate AI systems with customer tools, architect scalable services, and improve product fit through customer feedback.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

Build full-stack features for AI voice and chat products that scale to millions of conversations. Integrate ASR/TTS and conversational models, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to improve performance and user experience.

Build full-stack features for enterprise-scale voice and chat AI: integrate ASR/TTS and conversational LLMs, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to ship high-impact, scalable solutions.